<?xml version="1.0" ?>
<rss version="2.0">
	<channel>
		<title><![CDATA[ Selected Areas in Communications, IEEE Journal on - new TOC ]]></title>
		<link>http://ieeexplore.ieee.org</link>
		<description>TOC Alert for Publication# 49 </description>
		<year>2009</year>
		<month>June     </month>
		<day>19</day>
		<item>
			<title><![CDATA[IEEE Journal on Selected Areas in Communications - Front cover]]></title>
			<link><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=5072299&arnumber=5072344]]></link>
			<description><![CDATA[ ]]></description>
			<pubDate><![CDATA[June  2009]]></pubDate>
			<guid><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=5072299&arnumber=5072344]]></guid>
			<volume>27</volume>
			<issue>5</issue>
			<startPage>c1</startPage>
			<endPage>c1</endPage>
			<fileSize>72</fileSize>
			<authors><![CDATA[]]></authors>
		</item>
		<item>
			<title><![CDATA[IEEE Communications Society]]></title>
			<link><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=5072299&arnumber=5072345]]></link>
			<description><![CDATA[ ]]></description>
			<pubDate><![CDATA[June  2009]]></pubDate>
			<guid><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=5072299&arnumber=5072345]]></guid>
			<volume>27</volume>
			<issue>5</issue>
			<startPage>c2</startPage>
			<endPage>c2</endPage>
			<fileSize>67</fileSize>
			<authors><![CDATA[]]></authors>
		</item>
		<item>
			<title><![CDATA[Network coding for wireless communication networks]]></title>
			<link><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=5072299&arnumber=5072346]]></link>
			<description><![CDATA[This special issue includes a collection of 19 outstanding research papers which cover a diversity of topics on the application of network coding in wireless communication networks.]]></description>
			<pubDate><![CDATA[June  2009]]></pubDate>
			<guid><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=5072299&arnumber=5072346]]></guid>
			<volume>27</volume>
			<issue>5</issue>
			<startPage>577</startPage>
			<endPage>581</endPage>
			<fileSize>449</fileSize>
			<authors><![CDATA[Zheng, J.;Ansari, N.;Li, V.O.K.;Shen, X.;Hassanein, H.S.;Zhang, B.;]]></authors>
		</item>
		<item>
			<title><![CDATA[Bounds on the throughput gain of network coding in unicast and multicast wireless networks]]></title>
			<link><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=5072299&arnumber=5072347]]></link>
			<description><![CDATA[Gupta and Kumar established that the per node throughput of ad hoc networks with multi-pair unicast traffic scales with an increasing number of nodes n as (see PDF), thus indicating that performance does not scale well. However, Gupta and Kumar did not consider network coding and wireless broadcasting, which recent works suggest have the potential to significantly improve throughput. Here, we establish bounds on the improvement provided by such techniques. For random networks of any dimension under either the protocol or physical model that were introduced by Gupta and Kumar, we show that network coding and broadcasting lead to at most a constant factor improvement in per node throughput. For the protocol model, we provide bounds on this factor. We also establish bounds on the throughput benefit of network coding and broadcasting for multiple source multicast in random networks. Finally, for an arbitrary network deployment, we show that the coding benefit ratio is at most O(log n)for both the protocol and physical communication models. These results give guidance on the application space of network coding, and, more generally, indicate the difficulty in improving the scaling behavior of wireless networks without modification of the physical layer.]]></description>
			<pubDate><![CDATA[June  2009]]></pubDate>
			<guid><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=5072299&arnumber=5072347]]></guid>
			<volume>27</volume>
			<issue>5</issue>
			<startPage>582</startPage>
			<endPage>592</endPage>
			<fileSize>2125</fileSize>
			<authors><![CDATA[Liu, J.;Goeckel, D.;Towsley, D.;]]></authors>
		</item>
		<item>
			<title><![CDATA[Modeling throughput gain of network coding in multi-channel multi-radio wireless ad hoc networks]]></title>
			<link><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=5072299&arnumber=5072348]]></link>
			<description><![CDATA[In this paper, we model the network throughput gains of two types of wireless network coding (NC) schemes, including the conventional NC and the analog NC schemes, over the traditional non-NC transmission scheduling schemes in multihop, multi-channel, and multi-radio wireless ad hoc networks. In particular, we first show that the network throughput gains of the conventional NC and analog NC are (2n)/(2n-1) and n/(n¿1), respectively, for the n-way relay networks where n &#x02A7E; 2. Second, we propose an analytical framework for deriving the network throughput gain of the wireless NC schemes over general wireless network topologies. By solving the problem of maximizing the network throughput subject to the fairness requirements under our proposed framework, we quantitatively analyze the network throughput gains of these two types of wireless NC schemes for a variety of wireless ad hoc network topologies with different routing strategies. Finally, we develop a heuristic joint link scheduling, channel assignment, and routing algorithm that aims at approaching the optimal solution to the optimization problem under our proposed framework.]]></description>
			<pubDate><![CDATA[June  2009]]></pubDate>
			<guid><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=5072299&arnumber=5072348]]></guid>
			<volume>27</volume>
			<issue>5</issue>
			<startPage>593</startPage>
			<endPage>605</endPage>
			<fileSize>596</fileSize>
			<authors><![CDATA[Su, H.;Zhang, X.;]]></authors>
		</item>
		<item>
			<title><![CDATA[Cross-layer optimization for wireless multihop networks with pairwise intersession network coding]]></title>
			<link><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=5072299&arnumber=5072349]]></link>
			<description><![CDATA[For wireless multi-hop networks with unicast sessions, most coding opportunities involve only two or three sessions as coding across many sessions requires greater transmission power to broadcast the coded symbol to many receivers, which enhances interference. This work shows that with a new flowbased characterization of pairwise intersession network coding (coding across two unicast sessions), an optimal joint coding, scheduling, and rate-control scheme can be devised and implemented using only the binary XOR operation. The new scheduling/rate-control scheme demonstrates provably graceful throughput degradation with imperfect scheduling, which facilitates the design tradeoff between the throughput optimality and computational complexity of different scheduling schemes. Our results show that pairwise intersession network coding improves the throughput of non-coding solutions regardless of whether perfect/imperfect scheduling is used. Both the deterministic and stochastic packet arrivals and departures are considered. This work shows a striking resemblance between pairwise intersession network coding and non-coded solutions, and thus advocates extensions of non-coding wisdoms to their network coding counterpart.]]></description>
			<pubDate><![CDATA[June  2009]]></pubDate>
			<guid><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=5072299&arnumber=5072349]]></guid>
			<volume>27</volume>
			<issue>5</issue>
			<startPage>606</startPage>
			<endPage>621</endPage>
			<fileSize>668</fileSize>
			<authors><![CDATA[Khreishah, Abdallah;Wang, Chih-Chun;Shroff, Ness B.;]]></authors>
		</item>
		<item>
			<title><![CDATA[Optimized multipath network coding in lossy wireless networks]]></title>
			<link><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=5072299&arnumber=5072350]]></link>
			<description><![CDATA[Network coding has been a prominent approach to a series of problems that used to be considered intractable with traditional transmission paradigms. Recent work on network coding includes a substantial number of optimization based protocols, but mostly for wireline multicast networks. In this paper, we consider maximizing the benefits of network coding for unicast sessions in lossy wireless environments. We propose Optimized Multipath Network Coding (OMNC), a rate control protocol that dramatically improves the throughput of lossy wireless networks. OMNC employs multiple paths to push coded packets to the destination, and uses the broadcast MAC to deliver packets between neighboring nodes. The coding and broadcast rate is allocated to transmitters by a distributed optimization algorithm that maximizes the advantage of network coding while avoiding congestion. With extensive experiments on an emulation testbed, we find that OMNC achieves more than two-fold throughput increase on average compared to traditional best path routing, and significant improvement over existing multipath routing protocols with network coding. The performance improvement is notable not only for one unicast session, but also when multiple concurrent unicast sessions coexist in the network.]]></description>
			<pubDate><![CDATA[June  2009]]></pubDate>
			<guid><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=5072299&arnumber=5072350]]></guid>
			<volume>27</volume>
			<issue>5</issue>
			<startPage>622</startPage>
			<endPage>634</endPage>
			<fileSize>1179</fileSize>
			<authors><![CDATA[Zhang, X.;Li, B.;]]></authors>
		</item>
		<item>
			<title><![CDATA[Is rate adaptation beneficial for inter-session network coding?]]></title>
			<link><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=5072299&arnumber=5072351]]></link>
			<description><![CDATA[This paper considers the interplay between rate adaptation and inter-session network coding gains in wireless mesh or ad hoc networks. Inter-session network coding opportunities at relay nodes depend on packets being overheard by surrounding nodes ? the more packets nodes overhear, the more opportunities relays have to combine packets, resulting in a potential increase in network throughput. Thus, by adapting its transmission rate, a node can increase the range over which its packets are overheard, enabling additional opportunities for coding and increased overall throughput. This paper considers inter-session coding, restricted to a single relay (bottleneck) node, or star network topology. Even for such simple topologies the optimal joint rate adaptation and network coding policy is known to be NP-hard. Optimal rate vector selection is a combinatorial optimization problem, which is NP-hard, and finding optimal coding scheme turns out to be a clique partitioning problem which is also NP-hard. So, we provide heuristics to find a suboptimal rate vector and coding scheme. Additionally, we provide a linear programming formulation for network coding when only pairwise intersession coding is allowed. We evaluate the averaged throughput in two different scenarios, in which relays have different access opportunities, giving some intuition on the impact of rate adaptation in lightly and heavily loaded systems. The gains of joint rate adaptation and network coding are marginal when the relay has a higher access opportunity than other nodes, or when the MAC operates ideally it ranges from 9% to 19% as compared to a network without network coding and 4% over a network using regular network coding. While, when the relay has equal access opportunity as other source nodes, which is more typical of todays MAC protocols under heavy loads, the gain ranges from 40% to 62% as compared to the standard relaying case and is upto around 20% as compared to a network with regular pairwise ne-
twork coding. This can further be increased to a gain of 40% to 120% by replacing pairwise coding with sub-optimal general network coding scheme.]]></description>
			<pubDate><![CDATA[June  2009]]></pubDate>
			<guid><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=5072299&arnumber=5072351]]></guid>
			<volume>27</volume>
			<issue>5</issue>
			<startPage>635</startPage>
			<endPage>646</endPage>
			<fileSize>1330</fileSize>
			<authors><![CDATA[Kim, Y.;Veciana, G.D.;]]></authors>
		</item>
		<item>
			<title><![CDATA[Wireless network coding in slotted aloha with two-hop unbalanced traffic]]></title>
			<link><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=5072299&arnumber=5072352]]></link>
			<description><![CDATA[This paper deals with two representative unbalanced traffic cases for two-hop wireless relay access systems employing network coding and a slotted ALOHA protocol. Network coding is a recent and highly regarded technology for capacity enhancement with multiple unicast and multisource multicast networks. We have analyzed the performance of network coding on a two-hop wireless relay access system employing the slotted ALOHA under a balanced bidirectional traffic. The relay nodes will generally undergo this unbalanced multidirectional traffic but the impact of this unbalanced traffic on network coding has not been analyzed. This paper provides closed-form expressions for the throughput and packet delay for two-hop unbalanced bidirectional traffic cases both with and without network coding even if the buffers on nodes are unsaturated. The analytical results are mainly derived by solving queueing systems for the buffer behavior at the relay node. The results show that the transmission probability of the relay node is a design parameter that is crucial to maximizing the achievable throughput of wireless network coding in slotted ALOHA on two-hop unbalanced traffic cases. Furthermore, we show that the throughput is enhanced even if the traffic at the relay node is unbalanced.]]></description>
			<pubDate><![CDATA[June  2009]]></pubDate>
			<guid><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=5072299&arnumber=5072352]]></guid>
			<volume>27</volume>
			<issue>5</issue>
			<startPage>647</startPage>
			<endPage>661</endPage>
			<fileSize>451</fileSize>
			<authors><![CDATA[Umehara, D.;Hirano, T.;Denno, S.;Morikura, M.;Sugiyama, T.;]]></authors>
		</item>
		<item>
			<title><![CDATA[On the improvement of scaling laws for large-scale MANETs with network coding]]></title>
			<link><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=5072299&arnumber=5072353]]></link>
			<description><![CDATA[This paper investigates the problem of how much benefit network coding can contribute to the network performance in terms of throughput, delay, and storage requirements for mobile ad hoc networks (MANETs), compared to when only replication, storage and forwarding are allowed in relay nodes. We characterize the throughput-delay-storage tradeoffs under different node mobility patterns, i.e., i.i.d. and random walk mobility, with and without network coding. Our results show that when random linear coding instead of replication is used in MANETs, an order improvement on the scaling laws of MANETs can be achieved. Note that previous work showed that network coding could only provide constant improvement on the throughput of static wireless networks. Our work thus differentiates MANETs from static wireless networks by the role network coding plays.]]></description>
			<pubDate><![CDATA[June  2009]]></pubDate>
			<guid><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=5072299&arnumber=5072353]]></guid>
			<volume>27</volume>
			<issue>5</issue>
			<startPage>662</startPage>
			<endPage>672</endPage>
			<fileSize>874</fileSize>
			<authors><![CDATA[Zhang, C.;Zhu, X.;Fang, Y.;]]></authors>
		</item>
		<item>
			<title><![CDATA[Doped fountain coding for minimum delay data collection in circular networks]]></title>
			<link><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=5072299&arnumber=5072354]]></link>
			<description><![CDATA[This paper studies decentralized, Fountain and network-coding based strategies for facilitating data collection in circular wireless sensor networks, which rely on the stochastic diversity of data storage. The goal is to allow for a reduced delay collection by a data collector who accesses the network at a random position and random time. Data dissemination is performed by a set of relays which form a circular route to exchange source packets. The storage nodes within the transmission range of the route¿s relays linearly combine and store overheard relay transmissions using random decentralized strategies. An intelligent data collector first collects a minimum set of coded packets from a subset of storage nodes in its proximity, which might be sufficient for recovering the original packets and, by using a message-passing decoder, attempts recovering all original source packets from this set. Whenever the decoder stalls, the source packet which restarts decoding is polled/doped from its original source node. The random-walk-based analysis of the decoding/doping process furnishes the collection delay analysis with a prediction on the number of required doped packets. The number of doped packets can be surprisingly small when employed with an Ideal Soliton code degree distribution and, hence, the doping strategy may have the least collection delay when the density of source nodes is sufficiently large. Furthermore, we demonstrate that network coding makes dissemination more efficient at the expense of a larger collection delay. Not surprisingly, a circular network allows for a significantly more (analytically and otherwise) tractable strategies relative to a network whose model is a random geometric graph.]]></description>
			<pubDate><![CDATA[June  2009]]></pubDate>
			<guid><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=5072299&arnumber=5072354]]></guid>
			<volume>27</volume>
			<issue>5</issue>
			<startPage>673</startPage>
			<endPage>684</endPage>
			<fileSize>556</fileSize>
			<authors><![CDATA[Kokalj-Filipovic, Silvija;Spasojevic, Predrag;Soljanin, Emina;]]></authors>
		</item>
		<item>
			<title><![CDATA[A hybrid network coding technique for single-hop wireless networks]]></title>
			<link><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=5072299&arnumber=5072355]]></link>
			<description><![CDATA[In this paper, we investigate a hybrid network coding technique to be used at a wireless base station (BS) or access point (AP) to increase the throughput efficiency of single-hop wireless networks. Traditionally, to provide reliability, lost packets from different flows (applications) are retransmitted separately, leading to inefficient use of wireless bandwidth. Using the proposed hybrid network coding approach, the BS encodes these lost packets, possibly from different flows together before broadcasting them to all wireless users. In this way, multiple wireless receivers can recover their lost packets simultaneously with a single transmission from the BS. Furthermore, simulations and theoretical analysis showed that when used in conjunction with an appropriate channel coding technique under typical channel conditions, this approach can increase the throughput efficiency up to 3.5 times over the Automatic Repeat reQuest (ARQ), and up to 1.5 times over the HARQ techniques.]]></description>
			<pubDate><![CDATA[June  2009]]></pubDate>
			<guid><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=5072299&arnumber=5072355]]></guid>
			<volume>27</volume>
			<issue>5</issue>
			<startPage>685</startPage>
			<endPage>698</endPage>
			<fileSize>606</fileSize>
			<authors><![CDATA[Tran, T.;Nguyen, T.;Bose, B.;Gopal, V.;]]></authors>
		</item>
		<item>
			<title><![CDATA[Optimal beamforming for two-way multi-antenna relay channel with analogue network coding]]></title>
			<link><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=5072299&arnumber=5072356]]></link>
			<description><![CDATA[This paper studies the wireless two-way relay channel (TWRC), where two source nodes, S1 and S2, exchange information through an assisting relay node, R. It is assumed that R receives the sum signal from S1 and S2 in one timeslot, and then amplifies and forwards the received signal to both S1 and S2 in the next time-slot. By applying the principle of analogue network coding (ANC), each of S1 and S2 cancels the so-called ¿self-interference¿ in the received signal from R and then decodes the desired message. Assuming that S1 and S2 are each equipped with a single antenna and R with multi-antennas, this paper analyzes the capacity region of the ANC-based TWRC with linear processing (beamforming) at R. The capacity region contains all the achievable bidirectional rate-pairs of S1 and S2 under the given transmit power constraints at S1, S2, and R. We present the optimal relay beamforming structure as well as an efficient algorithm to compute the optimal beamforming matrix based on convex optimization techniques. Low-complexity suboptimal relay beamforming schemes are also presented, and their achievable rates are compared against the capacity with the optimal scheme.]]></description>
			<pubDate><![CDATA[June  2009]]></pubDate>
			<guid><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=5072299&arnumber=5072356]]></guid>
			<volume>27</volume>
			<issue>5</issue>
			<startPage>699</startPage>
			<endPage>712</endPage>
			<fileSize>624</fileSize>
			<authors><![CDATA[Rui Zhang;Ying-Chang Liang;Chin Choy Chai;Shuguang Cui;]]></authors>
		</item>
		<item>
			<title><![CDATA[Video-aware opportunistic network coding over wireless networks]]></title>
			<link><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=5072299&arnumber=5072357]]></link>
			<description><![CDATA[In this paper, we study video streaming over wireless networks with network coding capabilities. We build upon recent work, which demonstrated that network coding can increase throughput over a broadcast medium, by mixing packets from different flows into a single packet, thus increasing the information content per transmission. Our key insight is that, when the transmitted flows are video streams, network codes should be selected so as to maximize not only the network throughput but also the video quality. We propose video-aware opportunistic network coding schemes that take into account both the decodability of network codes by several receivers and the importance and deadlines of video packets. Simulation results show that our schemes significantly improve both video quality and throughput. This work is a first step towards content-aware network coding.]]></description>
			<pubDate><![CDATA[June  2009]]></pubDate>
			<guid><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=5072299&arnumber=5072357]]></guid>
			<volume>27</volume>
			<issue>5</issue>
			<startPage>713</startPage>
			<endPage>728</endPage>
			<fileSize>874</fileSize>
			<authors><![CDATA[Seferoglu, H.;Markopoulou, A.;]]></authors>
		</item>
		<item>
			<title><![CDATA[Training overhead for decoding random linear network codes in wireless networks]]></title>
			<link><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=5072299&arnumber=5072358]]></link>
			<description><![CDATA[We consider multicast communications from a single source to multiple destinations through a wireless network with unreliable links. Random linear network coding achieves the mincut flow capacity; however, additional overhead is needed for end-to-end error protection and to communicate the network coding matrix to each destination. We present a joint coding and training scheme in which training bits are appended to each source packet, and the channel code is applied across both the training and data. This scheme allows each destination to decode jointly the network coding matrix along with the data without knowledge of the network topology. It also balances the reliability of communicating the network coding matrices with the reliability of data detection. The throughput for this scheme, accounting for overhead, is characterized as a function of the packet size, channel properties (error and erasure statistics), number of independent messages, and field size. We also compare the performance with that obtained by individual channel coding of training and data. Numerical results are presented for a grid network that illustrate the reduction in throughput due to overhead.]]></description>
			<pubDate><![CDATA[June  2009]]></pubDate>
			<guid><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=5072299&arnumber=5072358]]></guid>
			<volume>27</volume>
			<issue>5</issue>
			<startPage>729</startPage>
			<endPage>737</endPage>
			<fileSize>569</fileSize>
			<authors><![CDATA[Riemensberger, M.;Sagduyu, Y.E.;Honig, M.L.;Utschick, W.;]]></authors>
		</item>
		<item>
			<title><![CDATA[Binary linear multicast network coding on acyclic networks: principles and applications in wireless communication networks]]></title>
			<link><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=5072299&arnumber=5072359]]></link>
			<description><![CDATA[Conventional linear multicast can be constructed on any acyclic network by increasing the order of the finite field to a sufficiently large amount over which the multicast is defined. In this paper, we first discuss the reciprocal theorem of the conventional linear multicast and design a linear multicast on any give acyclic network with constant finite field by extending the multicast dimension and relaxing the constraint on the information storage. In particular, we propose the binary linear multicast network coding and the linear multicast with binary coefficients. With the proposed method, the computation complexity for network coding at the intermediate nodes can be significantly reduced; therefore cheap network nodes can be deployed in a large scale due to their low cost for wireless communications. In addition, some applications of the proposed binary linear multicast network coding in wireless communication networks are illustrated and validated.]]></description>
			<pubDate><![CDATA[June  2009]]></pubDate>
			<guid><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=5072299&arnumber=5072359]]></guid>
			<volume>27</volume>
			<issue>5</issue>
			<startPage>738</startPage>
			<endPage>748</endPage>
			<fileSize>519</fileSize>
			<authors><![CDATA[Li, X.;Jiang, T.;Zhang, Q.;Wang, L.;]]></authors>
		</item>
		<item>
			<title><![CDATA[Reliable relay assisted wireless multicast using network coding]]></title>
			<link><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=5072299&arnumber=5072360]]></link>
			<description><![CDATA[We first consider a topology consisting of one source, two destinations and one relay. For such a topology, it is shown that a network coding based cooperative (NCBC) multicast scheme can achieve a diversity order of two. In this paper, we discuss and analyze NCBC in a systematic way as well as compare its performance with two other multicast protocols. The throughput, delay and queue length for each protocol are evaluated. In addition, we present an optimal scheme to maximize throughput subject to delay and queue length constraints. Numerical results will demonstrate that network coding can bring significant gains in terms of throughput.]]></description>
			<pubDate><![CDATA[June  2009]]></pubDate>
			<guid><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=5072299&arnumber=5072360]]></guid>
			<volume>27</volume>
			<issue>5</issue>
			<startPage>749</startPage>
			<endPage>762</endPage>
			<fileSize>825</fileSize>
			<authors><![CDATA[Fan, P.;Zhi, C.;Wei, C.;Letaief, K.B.;]]></authors>
		</item>
		<item>
			<title><![CDATA[On capacity of random wireless networks with physical-layer network coding]]></title>
			<link><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=5072299&arnumber=5072361]]></link>
			<description><![CDATA[Throughput capacity of a random wireless network has been studied extensively in the literature. Most existing studies were based on the assumption that each transmission involves only one transmitter in order to avoid interference. However, recent studies on physical-layer network coding (PLNC) have shown that such an assumption can be relaxed to improve throughput performance of a wireless network. In PLNC, signals from different senders can be transmitted to the same receiver in the same channel simultaneously. In this paper, we investigate the impact of PLNC on throughput capacity of a random wireless network. Our study reveals that, although PLNC scheme does not change the scaling law, it can improve throughput capacity by a fixed factor. Specifically, for a one-dimensional network, we observe that PLNC can eliminate the effect of interference in some scenarios. A tighter capacity bound is derived for a twodimensional network. In addition, we also show achievable lower bounds for random wireless networks with network coding and PLNC.]]></description>
			<pubDate><![CDATA[June  2009]]></pubDate>
			<guid><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=5072299&arnumber=5072361]]></guid>
			<volume>27</volume>
			<issue>5</issue>
			<startPage>763</startPage>
			<endPage>772</endPage>
			<fileSize>639</fileSize>
			<authors><![CDATA[Kejie Lu;Shengli Fu;Yi Qian;Hsiao-Hwa Chen;]]></authors>
		</item>
		<item>
			<title><![CDATA[Optimized constellations for two-way wireless relaying with physical network coding]]></title>
			<link><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=5072299&arnumber=5072362]]></link>
			<description><![CDATA[We investigate modulation schemes optimized for two¿way wireless relaying systems, for which network coding is employed at the physical layer. We consider network coding based on denoise¿and¿forward (DNF) protocol, which consists of two stages: multiple access (MA) stage, where two terminals transmit simultaneously towards a relay, and broadcast (BC) stage, where the relay transmits towards the both terminals. We introduce a design principle of modulation and network coding, considering the superposed constellations during the MA stage. For the case of QPSK modulations at the MA stage, we show that QPSK constellations with an exclusive¿or (XOR) network coding do not always offer the best transmission for the BC stage, and that there are several channel conditions in which unconventional 5¿ary constellations lead to a better throughput performance. Through the use of sphere packing, we optimize the constellation for such an irregular network coding. We further discuss the design issue of the modulation in the case when the relay exploits diversity receptions such as multiple¿antenna diversity and path diversity in frequency¿selective fading. In addition, we apply our design strategy to a relaying system using higher¿ level modulations of 16QAM in the MA stage. Performance evaluations confirm that the proposed scheme can significantly improve end¿to¿end throughput for two¿way relaying systems.]]></description>
			<pubDate><![CDATA[June  2009]]></pubDate>
			<guid><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=5072299&arnumber=5072362]]></guid>
			<volume>27</volume>
			<issue>5</issue>
			<startPage>773</startPage>
			<endPage>787</endPage>
			<fileSize>2242</fileSize>
			<authors><![CDATA[Koike-Akino, T.;Popovski, P.;Tarokh, V.;]]></authors>
		</item>
		<item>
			<title><![CDATA[Channel coding and decoding in a relay system operated with physical-layer network coding]]></title>
			<link><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=5072299&arnumber=5072363]]></link>
			<description><![CDATA[This paper investigates link-by-link channel-coded PNC (Physical layer Network Coding), in which a critical process at the relay is to transform the superimposed channel-coded packets received from the two end nodes (plus noise), Y<sub>3</sub> = X<sub>1</sub>+ X<sub>2</sub>+W<sub>3</sub>, to the network-coded combination of the source packets, S<sub>1</sub> &#x02295; S<sub>2</sub>. This is in contrast to the traditional multiple-access problem, in which the goal is to obtain both S<sub>1</sub> and S<sub>2</sub> explicitly at the relay node. Trying to obtain S<sub>1</sub> and S<sub>2</sub> explicitly is an overkill if we are only interested in S1&#x02295;S<sub>2</sub>. In this paper, we refer to the transformation Y<sub>3</sub> &#x02192; S<sub>1</sub> &#x02295; S<sub>2</sub> as the Channel-decoding- Network-Coding process (CNC) in that it involves both channel decoding and network coding operations. This paper shows that if we adopt the Repeat Accumulate (RA) channel code at the two end nodes, then there is a compatible decoder at the relay that can perform the transformation Y<sub>3</sub> &#x02192; S<sub>1</sub>&#x02295;S<sub>2</sub> efficiently. Specifically, we redesign the belief propagation decoding algorithm of the RA code for traditional point-to-point channel to suit the need of the PNC multiple-access channel. Simulation results show that our new scheme outperforms the previously proposed schemes significantly in terms of BER without added complexity.]]></description>
			<pubDate><![CDATA[June  2009]]></pubDate>
			<guid><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=5072299&arnumber=5072363]]></guid>
			<volume>27</volume>
			<issue>5</issue>
			<startPage>788</startPage>
			<endPage>796</endPage>
			<fileSize>396</fileSize>
			<authors><![CDATA[Shengli Zhang;Soung-Chang Liew;]]></authors>
		</item>
		<item>
			<title><![CDATA[Network coding-based protection of many-to-one wireless flows]]></title>
			<link><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=5072299&arnumber=5072364]]></link>
			<description><![CDATA[This paper addresses the problem of survivability of many-to-one flows in wireless networks, such as wireless mesh networks (WMNs) and wireless sensor networks (WSNs). Traditional protection schemes are either resource-hungry like the (1+1) protection scheme, or introduce a delay and interrupt the network operation like the (1 : N) protection scheme. In this paper, we present a network coding-based protection technique that overcomes the deficiencies of the traditional schemes. We derive and prove the necessary and sufficient conditions for our solution on a restricted network topology. Then we relax these connectivity requirements and show how to generalize the sufficient and necessary conditions to work with any other topology. We also show how to perform deterministic coding with {0,1} coefficients to achieve linear independence. Moreover, we discuss some of the practical considerations related to our approach. Specifically, we show how to adapt our solution when the network has a limited min-cut; we therefore define a more general problem that takes this constraint into account, which prove to be NP-complete. Furthermore, we discuss the decoding process at the sink, and show how to make use of our solution in the upstream communication (from sink to sources). We also study the effect of the proposed scheme on network performance. Finally, we consider the implementation of our approach when all network nodes have single transceivers, and we solve the problem through a greedy algorithm that constructs a feasible schedule for the transmissions from the sources.]]></description>
			<pubDate><![CDATA[June  2009]]></pubDate>
			<guid><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=5072299&arnumber=5072364]]></guid>
			<volume>27</volume>
			<issue>5</issue>
			<startPage>797</startPage>
			<endPage>813</endPage>
			<fileSize>1655</fileSize>
			<authors><![CDATA[Al-Kofahi, O.M.;Kamal, A.E.;]]></authors>
		</item>
		<item>
			<title><![CDATA[Improving the multicommodity flow rates with network codes for two sources]]></title>
			<link><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=5072299&arnumber=5072365]]></link>
			<description><![CDATA[In this work we introduce a construction and analysis of network codes for two sources. The region of achievable rates for this problem is still unknown. The scheme we suggest is based on modifying the multicommodity flow solution and thus improving the achievable rate region, w.r.t the uncoded case. The similarity to the flow problem allows our method to be implemented distributively. We show how the construction algorithm can be combined with distributed backpressure routing algorithms for wireless ad-hoc networks. For both the nondistributed case and the distributed case, the computational complexity of our algorithm for network coding is comparable to that of the parallel multicommodity flow problem. We provide non trivial upper and lower bounds on the performance of our scheme, using random coding techniques.]]></description>
			<pubDate><![CDATA[June  2009]]></pubDate>
			<guid><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=5072299&arnumber=5072365]]></guid>
			<volume>27</volume>
			<issue>5</issue>
			<startPage>814</startPage>
			<endPage>824</endPage>
			<fileSize>489</fileSize>
			<authors><![CDATA[Erez, E.;Feder, M.;]]></authors>
		</item>
		<item>
			<title><![CDATA[IEEE Communications Society 2009 Board of Governors]]></title>
			<link><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=5072299&arnumber=5072366]]></link>
			<description><![CDATA[ ]]></description>
			<pubDate><![CDATA[June  2009]]></pubDate>
			<guid><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=5072299&arnumber=5072366]]></guid>
			<volume>27</volume>
			<issue>5</issue>
			<startPage>c3</startPage>
			<endPage>c3</endPage>
			<fileSize>64</fileSize>
			<authors><![CDATA[]]></authors>
		</item>
		<item>
			<title><![CDATA[Back cover (contents continued from front cover)]]></title>
			<link><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=5072299&arnumber=5072367]]></link>
			<description><![CDATA[ ]]></description>
			<pubDate><![CDATA[June  2009]]></pubDate>
			<guid><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=5072299&arnumber=5072367]]></guid>
			<volume>27</volume>
			<issue>5</issue>
			<startPage>c4</startPage>
			<endPage>c4</endPage>
			<fileSize>56</fileSize>
			<authors><![CDATA[]]></authors>
		</item>
	</channel>
</rss>