A Novel Cooperative Strategy for Wireless Multihop Backhaul Networks

The 5G wireless network architecture will bring dense deployments of base stations called {\em small cells} for both outdoors and indoors traffic. The feasibility of their dense deployments depends on the existence of a high data-rate transport network that can provide high-data backhaul from an aggregation node where data traffic originates and terminates, to every such small cell. Due to the limited range of radio signals in the high frequency bands, multihop wireless connection may need to be established between each access node and an aggregation node. In this paper, we present a novel transmission scheme for wireless multihop backhaul for 5G networks. The scheme consists of 1) {\em group successive relaying} that established a relay schedule to efficiently exploit half-duplex relays and 2) an optimized quantize-map-and-forward (QMF) coding scheme that improves the performance of QMF and reduces the decoding complexity and the delay. We derive an achievable rate region of the proposed scheme and attain a closed-form expression in the asymptotic case for several network models of interests. It is shown that the proposed scheme provides a significant gain over multihop routing (based on decode-and-forward), which is a solution currently proposed for wireless multihop backhaul network. Furthermore, the performance gap increases as a network becomes denser. For the proposed scheme, we then develop energy-efficient routing that determines {\em groups} of participating relays for every hop. To reflect the metric used in the routing algorithm, we refer to it as {\em interference-harnessing} routing. By turning interference into a useful signal, each relay requires a lower transmission power to achieve a desired performance compared to other routing schemes. Finally, we present a low-complexity successive decoder, which makes it feasible to use the proposed scheme in practice.

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

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

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

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

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

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

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

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

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

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

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

[12]  Kien T. Truong,et al.  Relay Architectures for 3GPP LTE-Advanced , 2009, EURASIP J. Wirel. Commun. Netw..

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

[14]  Stefan Parkvall,et al.  Ultra-dense networks in millimeter-wave frequencies , 2015, IEEE Communications Magazine.

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

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

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

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

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

[20]  Zhouyue Pi,et al.  An introduction to millimeter-wave mobile broadband systems , 2011, IEEE Communications Magazine.

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

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

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

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

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

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

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

[28]  Stefan Parkvall,et al.  LTE-Advanced - Evolving LTE towards IMT-Advanced , 2008, 2008 IEEE 68th Vehicular Technology Conference.

[29]  Wei Yu,et al.  Two Birds and One Stone: Gaussian Interference Channel With a Shared Out-of-Band Relay of Limited Rate , 2013, IEEE Transactions on Information Theory.

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