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Soung Chang Liew - One of the best experts on this subject based on the ideXlab platform.

  • Physical-Layer Network coding: A random coding error exponent perspective
    2017 IEEE Information Theory Workshop (ITW), 2017
    Co-Authors: Shakeel Salamat Ullah, Gianluigi Liva, Soung Chang Liew
    Abstract:

    In this work, we derive the random coding error exponent for the uplink phase of a two-way relay system where physical Layer Network coding (PNC) is employed. The error exponent is derived for the practical (yet sub-optimum) XOR channel decoding setting. We show that the random coding error exponent under optimum (i.e., maximum likelihood) PNC channel decoding can be achieved even under the sub-optimal XOR channel decoding. The derived achievability bounds provide us with valuable insight and can be used as a benchmark for the performance of practical channel-coded PNC systems employing low complexity decoders when finite-length codewords are used.

  • ARQ for Physical-Layer Network Coding
    IEEE Transactions on Mobile Computing, 2016
    Co-Authors: Jianghao He, Soung Chang Liew
    Abstract:

    This paper investigates Automatic Repeat request (ARQ) designs for Physical-Layer Network Coding (PNC) systems. Most prior work related to PNC explores its use in Two-Way Relay Channel (TWRC). We have previously found that, besides TWRC, there are many other PNC building blocks-building blocks are simple small Network structures that can be used to construct a large Network. In some of these PNC building blocks, the receivers can obtain side information through overhearing. Although such overheard information is not the target information that the receivers desire, the receivers can exploit the overheard information together with a Network-coded packet received to obtain a desired native packet. This can yield substantial throughput gain. Our previous study, however, assumed what is sent always gets received. In practice, that is not the case. Error control is needed to ensure reliable communication. This paper focuses on ARQ designs for ensuring reliable PNC communication. The availability of overheard Information and its potential exploitation make the ARQ design of a Network-coded system different from that of a non-Network-coded system. In this paper, we lay out the fundamental considerations for such ARQ designs: 1) we put forth a framework to track the stored coded packets and overheard packets to increase the chance of packet extraction, and derive the throughput gain achieved therefore; 2) we investigate two variations of PNC ARQ, coupled and non-coupled ARQs, and prove that non-coupled ARQ is more efficient; 3) we show how to optimize parameters in PNC ARQ - specifically the window size and the ACK frequency - to minimize the throughput degradation caused by ACK feedback overhead and wasteful retransmissions due to lost ACK.

  • Asynchronous Convolutional-Coded Physical-Layer Network Coding
    IEEE Transactions on Wireless Communications, 2015
    Co-Authors: Qing Yang, Soung Chang Liew
    Abstract:

    This paper investigates the decoding process of asynchronous convolutional-coded physical-Layer Network coding (PNC) systems. Specifically, we put forth a Layered decoding framework for convolutional-coded PNC consisting of three Layers: symbol realignment Layer, codeword realignment Layer, and joint channel-decoding Network coding (Jt-CNC) decoding Layer. Our framework can deal with phase asynchrony (phase offset) and symbol arrival-time asynchrony (symbol misalignment) between the signals simultaneously transmitted by multiple sources. A salient feature of this framework is that it can handle both fractional and integral symbol misalignments. For the decoding Layer, instead of Jt-CNC, previously proposed PNC decoding algorithms (e.g., XOR-CD and reduced-state Viterbi algorithms) can also be used with our framework to deal with general symbol misalignments. Our Jt-CNC algorithm, based on belief propagation, is BER-optimal for synchronous PNC and near optimal for asynchronous PNC. Extending beyond convolutional codes, we further generalize the Jt-CNC decoding algorithm for all cyclic codes. Our simulation shows that Jt-CNC outperforms the previously proposed XOR-CD algorithm and reduced-state Viterbi algorithm by 2 dB for synchronous PNC. For both phase-asynchronous and symbol-asynchronous PNC, Jt-CNC performs better than the other two algorithms. Importantly, for real wireless Network experimentation, we implemented our decoding algorithm in a PNC prototype built on the USRP software radio platform. Our experiment shows that the proposed Jt-CNC decoder works well in practice. © 2002-2012 IEEE.

  • Breakthroughs in Photonics 2014: Optical Physical-Layer Network Coding, Recent Developments, and Challenges
    IEEE Photonics Journal, 2015
    Co-Authors: Lian-kuan Chen, Ming Li, Soung Chang Liew
    Abstract:

    Network coding is a revolutionary technique that can enhance Network throughput and protection. This paper introduces optical physical-Layer Network coding (OPNC) and the recent development of OPNC, with focused discussion on “common-channel” OPNC that can efficiently utilize Network resources. It also describes the challenges ahead of OPNC, including incorporating more than two signals for OPNC; circumventing the higher signal processing complexity when higher order modulations are adopted; and exploiting OPNC in more sophisticated multichannel systems.

  • Building Blocks of Physical-Layer Network Coding
    IEEE Transactions on Wireless Communications, 2015
    Co-Authors: Jianghao He, Soung Chang Liew
    Abstract:

    This paper investigates the fundamental building blocks of physical-Layer Network coding (PNC). Most prior work on PNC focused on its application in a simple two-way-relay channel (TWRC) consisting of three nodes only. Studies of the application of PNC in general Networks are relatively few. This paper is an attempt to fill this gap. We put forth two ideas: a general Network can be decomposed into small building blocks of PNC, referred to as the PNC atoms, for scheduling of PNC transmissions; and we identify nine PNC atoms, with TWRC being one of them. Three major results are as follows. First, using the decomposition framework, the throughput performance of PNC is shown to be significantly better than those of the traditional multi-hop scheme and the conventional Network coding scheme. For example, under heavy traffic volume, PNC can achieve 100% throughput gain relative to the traditional multi-hop scheme. Second, PNC decomposition based on a variety of different PNC atoms can yield much better performance than PNC decomposition based on the TWRC atom alone. Third, three out of the nine atoms are most important to good performance. Specifically, the decomposition based on these three atoms is good enough most of the time, and it is not necessary to use the other six atoms.

Shengli Zhang - One of the best experts on this subject based on the ideXlab platform.

  • implementation of physical Layer Network coding
    Physical Communication, 2013
    Co-Authors: Lu Lü, Soung Chang Liew, Taotao Wang, Shengli Zhang
    Abstract:

    Abstract This paper presents the first implementation of a two-way relay Network based on the principle of physical-Layer Network coding (PNC). To date, only a simplified version of PNC, called analog Network coding (ANC), has been successfully implemented. The advantage of ANC is that it is simple to implement; the disadvantage, on the other hand, is that the relay amplifies the noise along with the signal before forwarding the signal. PNC systems in which the relay performs XOR or other denoising PNC mappings of the received signal have the potential for significantly better performance. However, the implementation of such PNC systems poses many challenges. For example, the relay in a PNC system must be able to deal with symbol and carrier-phase asynchronies of the simultaneous signals received from multiple nodes, and the relay must perform channel estimation before detecting the signals. We investigate a PNC implementation in the frequency domain, referred to as FPNC, to tackle these challenges. FPNC is based on OFDM. In FPNC, XOR mapping is performed on the OFDM samples in each subcarrier rather than on the samples in the time domain. We implement FPNC on the universal soft radio peripheral (USRP) platform. Our implementation requires only moderate modifications of the packet preamble design of 802.11a/g OFDM PHY. With the help of the cyclic prefix (CP) in OFDM, symbol asynchrony and the multi-path fading effects can be dealt with simultaneously in a similar fashion. Our experimental results show that symbol-synchronous and symbol-asynchronous FPNC have essentially the same BER performance, for both channel-coded and non-channel-coded FPNC systems.

  • implementation of physical Layer Network coding
    International Conference on Communications, 2012
    Co-Authors: Lu Lü, Soung Chang Liew, Taotao Wang, Shengli Zhang
    Abstract:

    This paper presents the first implementation of a two-way relay Network based on the principle of physical-Layer Network coding. To date, only a simplified version of physical-Layer Network coding (PNC), called analog Network coding (ANC), has been successfully implemented. The advantage of ANC is that it is simple to implement; the disadvantage, on the other hand, is that the relay amplifies the noise along with the signal before forwarding the signal. PNC systems in which the relay performs XOR or other denoising PNC mappings of the received signal have the potential for significantly better performance. However, their implementation also poses many challenges. For example, the relay must be able to deal with symbol and carrier-phase asynchronies of the simultaneous signals received from the two end nodes, and the relay must perform channel estimation before decoding. We investigate a PNC implementation in the frequency domain, referred to as FPNC, to tackle these challenges. FPNC is based on OFDM. In FPNC, XOR mapping is performed on the OFDM samples in each subcarrier rather than on the samples in the time domain. We implement FPNC on the universal soft radio peripheral (USRP) platform. Our implementation requires only moderate modifications of the packet preamble design of 802.11a/g OFDM PHY. With the help of the cyclic prefix (CP) in OFDM, symbol asynchrony and the multi-path fading effects can be dealt with simultaneously in a similar fashion. Our experimental results show that symbol-synchronous and symbol-asynchronous FPNC have essentially the same BER performance, for both channel-coded and unchannel-coded FPNC.

  • physical Layer Network coding tutorial survey and beyond
    arXiv: Networking and Internet Architecture, 2011
    Co-Authors: Soung Chang Liew, Shengli Zhang, Lu Lü
    Abstract:

    The concept of physical-Layer Network coding (PNC) was proposed in 2006 for application in wireless Networks. Since then it has developed into a subfield of Network coding with wide followings. The basic idea of PNC is to exploit the Network coding operation that occurs naturally when electromagnetic (EM) waves are superimposed on one another. This simple idea turns out to have profound and fundamental ramifications. Subsequent works by various researchers have led to many new results in the domains of 1) wireless communication; 2) wireless information theory; and 3) wireless Networking. The purpose of this paper is fourfold. First, we give a brief tutorial on the basic concept of PNC. Second, we survey and discuss recent key results in the three aforementioned areas. Third, we examine a critical issue in PNC: synchronization. It has been a common belief that PNC requires tight synchronization. Our recent results suggest, however, that PNC may actually benefit from asynchrony. Fourth, we propose that PNC is not just for wireless Networks; it can also be useful in optical Networks. We provide an example showing that the throughput of a passive optical Network (PON) could potentially be raised by 100% with PNC.

  • implementation of physical Layer Network coding
    arXiv: Networking and Internet Architecture, 2011
    Co-Authors: Lu Lü, Soung Chang Liew, Taotao Wang, Shengli Zhang
    Abstract:

    This paper presents the first implementation of a two-way relay Network based on the principle of physical-Layer Network coding. To date, only a simplified version of physical-Layer Network coding (PNC) method, called analog Network coding (ANC), has been successfully implemented. The advantage of ANC is that it is simple to implement; the disadvantage, on the other hand, is that the relay amplifies the noise along with the signal before forwarding the signal. PNC systems in which the relay performs XOR or other denoising PNC mappings of the received signal have the potential for significantly better performance. However, the implementation of such PNC systems poses many challenges. For example, the relay must be able to deal with symbol and carrier-phase asynchronies of the simultaneous signals received from the two end nodes, and the relay must perform channel estimation before detecting the signals. We investigate a PNC implementation in the frequency domain, referred to as FPNC, to tackle these challenges. FPNC is based on OFDM. In FPNC, XOR mapping is performed on the OFDM samples in each subcarrier rather than on the samples in the time domain. We implement FPNC on the universal soft radio peripheral (USRP) platform. Our implementation requires only moderate modifications of the packet preamble design of 802.11a/g OFDM PHY. With the help of the cyclic prefix (CP) in OFDM, symbol asynchrony and the multi-path fading effects can be dealt with in a similar fashion. Our experimental results show that symbol-synchronous and symbol-asynchronous FPNC have essentially the same BER performance, for both channel-coded and unchannel-coded FPNC.

  • Synchronization Analysis in Physical Layer Network Coding
    Arxiv preprint arXiv10010069, 2009
    Co-Authors: Shengli Zhang, Soung Chang Liew, Huahui Wang
    Abstract:

    Physical-Layer Network Coding (PNC) makes use of the additive nature of the electromagnetic (EM) waves to apply Network coding arithmetic at the physical Layer. With PNC,the destructive effect of interference in wireless Networks is eliminated and the capacity of Networks can be boosted significantly. This paper addresses a key outstanding issue in PNC: synchronization among transmitting nodes. We first investigate the impact of imperfect synchronization (i.e., finite synchronization errors) in a 3-node Network. It is shown that with QPSK modulation, PNC still yields significantly higher capacity than straightforward Network coding when there are synchronization errors. Significantly, this remains to be so even in the extreme case when synchronization is not performed at all. Moving beyond a 3-node Network, we propose and investigate a synchronization scheme for PNC in a general chain Network. At last, numerical simulation verifies that PNC is robust to synchronization errors. In particular, for the mutual information performance, there is about 0.5dB loss without time synchronization and there is at most 2dB loss without phase synchronization.

Lu Lü - One of the best experts on this subject based on the ideXlab platform.

  • implementation of physical Layer Network coding
    Physical Communication, 2013
    Co-Authors: Lu Lü, Soung Chang Liew, Taotao Wang, Shengli Zhang
    Abstract:

    Abstract This paper presents the first implementation of a two-way relay Network based on the principle of physical-Layer Network coding (PNC). To date, only a simplified version of PNC, called analog Network coding (ANC), has been successfully implemented. The advantage of ANC is that it is simple to implement; the disadvantage, on the other hand, is that the relay amplifies the noise along with the signal before forwarding the signal. PNC systems in which the relay performs XOR or other denoising PNC mappings of the received signal have the potential for significantly better performance. However, the implementation of such PNC systems poses many challenges. For example, the relay in a PNC system must be able to deal with symbol and carrier-phase asynchronies of the simultaneous signals received from multiple nodes, and the relay must perform channel estimation before detecting the signals. We investigate a PNC implementation in the frequency domain, referred to as FPNC, to tackle these challenges. FPNC is based on OFDM. In FPNC, XOR mapping is performed on the OFDM samples in each subcarrier rather than on the samples in the time domain. We implement FPNC on the universal soft radio peripheral (USRP) platform. Our implementation requires only moderate modifications of the packet preamble design of 802.11a/g OFDM PHY. With the help of the cyclic prefix (CP) in OFDM, symbol asynchrony and the multi-path fading effects can be dealt with simultaneously in a similar fashion. Our experimental results show that symbol-synchronous and symbol-asynchronous FPNC have essentially the same BER performance, for both channel-coded and non-channel-coded FPNC systems.

  • implementation of physical Layer Network coding
    International Conference on Communications, 2012
    Co-Authors: Lu Lü, Soung Chang Liew, Taotao Wang, Shengli Zhang
    Abstract:

    This paper presents the first implementation of a two-way relay Network based on the principle of physical-Layer Network coding. To date, only a simplified version of physical-Layer Network coding (PNC), called analog Network coding (ANC), has been successfully implemented. The advantage of ANC is that it is simple to implement; the disadvantage, on the other hand, is that the relay amplifies the noise along with the signal before forwarding the signal. PNC systems in which the relay performs XOR or other denoising PNC mappings of the received signal have the potential for significantly better performance. However, their implementation also poses many challenges. For example, the relay must be able to deal with symbol and carrier-phase asynchronies of the simultaneous signals received from the two end nodes, and the relay must perform channel estimation before decoding. We investigate a PNC implementation in the frequency domain, referred to as FPNC, to tackle these challenges. FPNC is based on OFDM. In FPNC, XOR mapping is performed on the OFDM samples in each subcarrier rather than on the samples in the time domain. We implement FPNC on the universal soft radio peripheral (USRP) platform. Our implementation requires only moderate modifications of the packet preamble design of 802.11a/g OFDM PHY. With the help of the cyclic prefix (CP) in OFDM, symbol asynchrony and the multi-path fading effects can be dealt with simultaneously in a similar fashion. Our experimental results show that symbol-synchronous and symbol-asynchronous FPNC have essentially the same BER performance, for both channel-coded and unchannel-coded FPNC.

  • asynchronous physical Layer Network coding
    IEEE Transactions on Wireless Communications, 2012
    Co-Authors: Lu Lü, Soung Chang Liew
    Abstract:

    A key issue in physical-Layer Network coding (PNC) is how to deal with the asynchrony between signals transmitted by multiple transmitters. That is, symbols transmitted by different transmitters could arrive at the receiver with symbol misalignment as well as relative carrier-phase offset. A second important issue is how to integrate channel coding with PNC to achieve reliable communication. This paper investigates these two issues and makes the following contributions: 1) We propose and investigate a general framework for decoding at the receiver based on belief propagation (BP). The framework can effectively deal with symbol and phase asynchronies while incorporating channel coding at the same time. 2) For unchannel-coded PNC, we show that for BPSK and QPSK modulations, our BP method can significantly reduce the asynchrony penalties compared with prior methods. 3) For QPSK unchannel-coded PNC, with a half symbol offset between the transmitters, our BP method can drastically reduce the performance penalty due to phase asynchrony, from more than 6 dB to no more than 1 dB. 4) For channel-coded PNC, with our BP method, both symbol and phase asynchronies actually improve the system performance compared with the perfectly synchronous case. Furthermore, the performance spread due to different combinations of symbol and phase offsets between the transmitters in channel-coded PNC is only around 1 dB. The implication of 3) is that if we could control the symbol arrival times at the receiver, it would be advantageous to deliberately introduce a half symbol offset in unchannel-coded PNC. The implication of 4) is that when channel coding is used, symbol and phase asynchronies are not major performance concerns in PNC.

  • Optical Physical-Layer Network Coding
    Photonics Technology Letters IEEE, 2012
    Co-Authors: Liu Zhixin, Chan Chun-kit, Liew Soung-chang, Lu Lü, Li Zai-ming, Chen Lian-kuan
    Abstract:

    The application of physical-Layer Network coding (PNC) in optical communications is explored. We propose and demonstrate a practical optical PNC prototype for multicast protection in optical flow, burst, and packet switching Networks. Different from conventional theoretical PNC studies, our proposed optical PNC system does not require bit synchronization and can be easily implemented.

  • physical Layer Network coding tutorial survey and beyond
    arXiv: Networking and Internet Architecture, 2011
    Co-Authors: Soung Chang Liew, Shengli Zhang, Lu Lü
    Abstract:

    The concept of physical-Layer Network coding (PNC) was proposed in 2006 for application in wireless Networks. Since then it has developed into a subfield of Network coding with wide followings. The basic idea of PNC is to exploit the Network coding operation that occurs naturally when electromagnetic (EM) waves are superimposed on one another. This simple idea turns out to have profound and fundamental ramifications. Subsequent works by various researchers have led to many new results in the domains of 1) wireless communication; 2) wireless information theory; and 3) wireless Networking. The purpose of this paper is fourfold. First, we give a brief tutorial on the basic concept of PNC. Second, we survey and discuss recent key results in the three aforementioned areas. Third, we examine a critical issue in PNC: synchronization. It has been a common belief that PNC requires tight synchronization. Our recent results suggest, however, that PNC may actually benefit from asynchrony. Fourth, we propose that PNC is not just for wireless Networks; it can also be useful in optical Networks. We provide an example showing that the throughput of a passive optical Network (PON) could potentially be raised by 100% with PNC.

Y. Qian - One of the best experts on this subject based on the ideXlab platform.

  • SER Performance Analysis for Physical Layer Network Coding over AWGN Channels
    GLOBECOM 2009 - 2009 IEEE Global Telecommunications Conference, 2009
    Co-Authors: K. Lu, S. Fu, Y. Qian, Hsiao-hwa Chen
    Abstract:

    While original Network coding is proposed over the data link Layer, recent work suggests that it can also be implemented on the physical Layer. In fact it is more natural for wireless Networks because of its omnidirectional transmission. In this paper, we investigate the symbol-error-rate (SER) for binary phase-shift keying (BPSK) and quadrature phase-shift keying (QPSK), but the approaches can be generalized to other constellation schemes. The closed-form SER results are derived for physical Layer Network coding over AWGN channels. The theoretical analysis is also validated by numerical simulation.

  • Capacity of Random Wireless Networks: Impact of Physical-Layer Network Coding
    2008 IEEE International Conference on Communications, 2008
    Co-Authors: K. Lu, S. Fu, Y. Qian
    Abstract:

    Since the pioneer work by Gupta and Kumar, the throughput capacity of random wireless Networks has been studied extensively in the literature. Nevertheless, most existing studies are based on the assumption that each node can receive at most one transmission at a time. However, several recent studies have shown that such a constraint can be relaxed. Particularly, with physical-Layer Network coding, one node can receive more than one transmission from different transmitters simultaneously. In this paper, we investigate the impact of physical-Layer Network coding on the throughput capacity of random wireless Networks. Our analysis show that the physical-Layer Network coding scheme can improve the throughput capacity but cannot change the scaling law. Specifically, for one-dimensional random wireless Network, our analysis provides the capacity of Network with physical-Layer Network coding. For two-dimensional random wireless Networks, we derive tighter capacity bounds for existing transmission schemes, as well as the bounds for physical-Layer Network coding.

  • ICC - Capacity of Random Wireless Networks: Impact of Physical-Layer Network Coding
    2008 IEEE International Conference on Communications, 2008
    Co-Authors: K. Lu, S. Fu, Y. Qian
    Abstract:

    Since the pioneer work by Gupta and Kumar, the throughput capacity of random wireless Networks has been studied extensively in the literature. Nevertheless, most existing studies are based on the assumption that each node can receive at most one transmission at a time. However, several recent studies have shown that such a constraint can be relaxed. Particularly, with physical-Layer Network coding, one node can receive more than one transmission from different transmitters simultaneously. In this paper, we investigate the impact of physical-Layer Network coding on the throughput capacity of random wireless Networks. Our analysis show that the physical-Layer Network coding scheme can improve the throughput capacity but cannot change the scaling law. Specifically, for one-dimensional random wireless Network, our analysis provides the capacity of Network with physical-Layer Network coding. For two-dimensional random wireless Networks, we derive tighter capacity bounds for existing transmission schemes, as well as the bounds for physical-Layer Network coding.

Dong Li-fang - One of the best experts on this subject based on the ideXlab platform.

  • Physical Layer Network Coding for Distributed Massive MIMO
    WSA 2015; 19th International ITG Workshop on Smart Antennas, 2015
    Co-Authors: Alister Burr, Dong Li-fang
    Abstract:

    We consider distributed "massive MIMO" schemes as a compromise between small cells and massive MIMO for 5G wireless. We consider a scheme we call massive MIMO-CoMP which combines the benefits of distributed massive MIMO and CoMP, and propose the use of physical Layer Network coding for the backhaul of such a Network. We show that this provides a better performance with much smaller backhaul load than would a practical CoMP scheme. The performance is also only fractionally poorer than collocated massive MIMO with joint MMSE detection, but enables the benefits of distributed antennas.

  • WSA - Physical Layer Network Coding for Distributed Massive MIMO
    2015
    Co-Authors: Alister G. Burr, Dong Li-fang
    Abstract:

    We consider distributed "massive MIMO" schemes as a compromise between small cells and massive MIMO for 5G wireless. We consider a scheme we call massive MIMO-CoMP which combines the benefits of distributed massive MIMO and CoMP, and propose the use of physical Layer Network coding for the backhaul of such a Network. We show that this provides a better performance with much smaller backhaul load than would a practical CoMP scheme. The performance is also only fractionally poorer than collocated massive MIMO with joint MMSE detection, but enables the benefits of distributed antennas.

  • Linear physical-Layer Network coding for 5G radio access Networks
    1st International Conference on 5G for Ubiquitous Connectivity, 2014
    Co-Authors: Alain Burr, Dong Li-fang
    Abstract:

    We consider the application of linear physical Layer Network coding to next generation radio access Networks (LPNC-RAN). We introduce a linear physical Layer Network coding scheme based on binary matrices, and illustrate its application to a simple example Network topology. We compare this to benchmark schemes based on coordinated multipoint (CoMP), and show that while its performance is poorer than ideal CoMP with unlimited backhaul, it is significantly better than a practical CoMP scheme, while also giving rise to much lower backhaul load.

  • Linear physical Layer Network coding for multihop wireless Networks
    2014 22nd European Signal Processing Conference (EUSIPCO), 2014
    Co-Authors: Alister Burr, Dong Li-fang
    Abstract:

    We consider linear Network coding functions that can be employed at the relays in wireless physical Layer Network coding, applied to a general multi-hop Network topology. We introduce a general model of such a Network, and discuss the algebraic basis of linear functions, deriving conditions for unambiguous decodability of the source data at the destination. We consider the use of integer rings, integer fields, binary extension fields and the ring of binary matrices as potential algebraic constructs, and show that the ring constructs provide more flexibility. We use the two-way relay channel and a Network containing two sources and two relays to illustrate the concept and to demonstrate the effect of fading of the wireless channels. We show the capacity benefits of the more flexible rings.

  • Linear wireless physical-Layer Network coding based on binary matrices for multiLayer relay Networks
    2014 11th International Symposium on Wireless Communications Systems (ISWCS), 2014
    Co-Authors: Alister Burr, Dong Li-fang, Mehdi Molu
    Abstract:

    We consider the application of linear physical-Layer Network coding over a general multiLayer wireless relay Network. We introduce a model of the Network and show conditions under which at least one source can be unambiguously decoded at at least one destination. We also discuss some potential linear algebraic constructs upon which the Network coding functions may be based, and give some example Networks.