Short Message Noisy Network Coding With Sliding-Window Decoding for Half-Duplex Multihop Relay Networks

In this paper, we present a cooperative relaying strategy for half-duplex multihop relay networks. This scheme consists of three parts: 1) relay selection to yield a layered relay network; 2) group successive relaying that establishes a relay schedule to efficiently exploit half-duplex relays; and 3) a cooperative relaying scheme named short message noisy network coding with sliding-window decoding (SNNC-SW) that outperforms other state-of-the-art information theoretical schemes with lower decoding complexity and delay. We derive an achievable rate region of the proposed SNNC-SW scheme and attain a closed-form rate expression in the asymptotic case for several network models of interests. We then focus on the first part of our relaying strategy regarding efficient relay selection. We develop interference-harnessing routing that exploits the fact that in SNNC-SW, interference is treated as a useful signal. We show that, due to the efficient treatment of interference, this scheme can outperform routing schemes that deploy store-and-forward, a solution previously proposed for practical wireless multihop networks. Finally, we develop a low-complexity successive decoder of our scheme (implemented by a conventional MIMO decoder), which is a solution that can readily be implemented in practice. It is shown that also this practical scheme provides a significant gain over routing (based on store-and-forward) and the performance gap increases as the network becomes denser.

[1]  David Tse,et al.  Coding and system design for quantize-map-and-forward relaying , 2013, IEEE Journal on Selected Areas in Communications.

[2]  László Lovász,et al.  Factoring polynomials with rational coefficients , 1982 .

[3]  Suhas N. Diggavi,et al.  Quantize-map-forward (QMF) relaying: an experimental study , 2013, MobiHoc '13.

[4]  Dennis Hui,et al.  Joint routing and resource allocation for wireless self-backhaul in an indoor ultra-dense network , 2013, PIMRC 2013.

[5]  Aaron D. Wyner,et al.  Shannon-theoretic approach to a Gaussian cellular multiple-access channel , 1994, IEEE Trans. Inf. Theory.

[6]  Giuseppe Caire,et al.  On maximum-likelihood detection and the search for the closest lattice point , 2003, IEEE Trans. Inf. Theory.

[7]  Sae-Young Chung,et al.  Capacity Bounds for Alternating Two-Path Relay Channels , 2007 .

[8]  Lili Qiu,et al.  Impact of Interference on Multi-Hop Wireless Network Performance , 2003, MobiCom '03.

[9]  P. R. Kumar,et al.  Critical power for asymptotic connectivity , 1998, Proceedings of the 37th IEEE Conference on Decision and Control (Cat. No.98CH36171).

[10]  Jitendra Padhye,et al.  Routing in multi-radio, multi-hop wireless mesh networks , 2004, MobiCom '04.

[11]  Georgios Parissidis Interference-Aware Routing in Wireless Multihop Networks , 2008 .

[12]  Srikrishna Bhashyam,et al.  A Decode and Forward Protocol for Two-Stage Gaussian Relay Networks , 2012, IEEE Transactions on Communications.

[13]  Shlomo Shamai,et al.  Multihop Backhaul Compression for the Uplink of Cloud Radio Access Networks , 2016 .

[14]  Gerhard Kramer,et al.  Short Message Noisy Network Coding With a Decode–Forward Option , 2013, IEEE Transactions on Information Theory.

[15]  Thomas M. Cover,et al.  Elements of Information Theory , 2005 .

[16]  Giuseppe Caire,et al.  Virtual Full-Duplex Relaying With Half-Duplex Relays , 2015, IEEE Transactions on Information Theory.

[17]  Sae-Young Chung,et al.  Noisy network coding , 2010 .

[18]  Robert W. Heath,et al.  The future of WiMAX: Multihop relaying with IEEE 802.16j , 2009, IEEE Communications Magazine.

[19]  Suhas N. Diggavi,et al.  Wireless Network Information Flow: A Deterministic Approach , 2009, IEEE Transactions on Information Theory.

[20]  Giuseppe Caire,et al.  Compute-and-Forward Strategies for Cooperative Distributed Antenna Systems , 2012, IEEE Transactions on Information Theory.

[21]  Ayfer Özgür,et al.  Operating Regimes of Large Wireless Networks , 2011, Found. Trends Netw..

[22]  RankovBoris,et al.  Spectral efficient protocols for half-duplex fading relay channels , 2007 .

[23]  Theodore S. Rappaport,et al.  60 GHz Wireless Communication Systems , 2012 .

[24]  Frank R. Kschischang,et al.  An Algebraic Approach to Physical-Layer Network Coding , 2010, IEEE Transactions on Information Theory.

[25]  Michael Gastpar,et al.  Integer-forcing linear receivers , 2010, 2010 IEEE International Symposium on Information Theory.

[26]  Shlomo Shamai,et al.  Uplink Macro Diversity of Limited Backhaul Cellular Network , 2008, IEEE Transactions on Information Theory.

[27]  Michael Gastpar,et al.  Reliable Physical Layer Network Coding , 2011, Proceedings of the IEEE.

[28]  Michael Gastpar,et al.  Compute-and-Forward: Harnessing Interference Through Structured Codes , 2009, IEEE Transactions on Information Theory.

[29]  Ayfer Özgür,et al.  Capacity Approximations for Gaussian Relay Networks , 2015, IEEE Transactions on Information Theory.

[30]  J. Nicholas Laneman,et al.  Window decoding for the multiaccess channel with generalized feedback , 2004, International Symposium onInformation Theory, 2004. ISIT 2004. Proceedings..

[31]  Armin Wittneben,et al.  Spectral efficient protocols for half-duplex fading relay channels , 2007, IEEE Journal on Selected Areas in Communications.

[32]  Emanuele Viterbo,et al.  A universal lattice code decoder for fading channels , 1999, IEEE Trans. Inf. Theory.

[33]  Giuseppe Caire,et al.  Beyond Scaling Laws: On the Rate Performance of Dense Device-to-Device Wireless Networks , 2015, IEEE Transactions on Information Theory.