Diversity-Multiplexing Trade-off for Coordinated Direct and Relay Schemes

The recent years have brought a significant body of research on wireless Two-Way Relaying (TWR), where the use of network coding brings an evident advantage in terms of data rates. Yet, TWR scenarios represent only a special case and it is of interest to devise similar techniques in more general multi-flow scenarios. Such techniques can leverage on the two principles used in Wireless Network Coding to design throughput-efficient schemes: (1) aggregation of communication flows and (2) embracing and subsequently cancel/mitigate the interference. Using these principles, we investigate Coordinated Direct/Relay (CDR) schemes, which involve two flows, of a direct and a relayed user. In this paper we characterize a CDR scheme by deriving/bounding the Diversity-Multiplexing Trade-off (DMT) function. Two cases are considered. In the first case a transmitter knows the Channel State Information (CSI) of all the links in the network, while in the second case each node knows only CSI of the links towards its neighbors. The results show that the new CDR scheme outperforms the reference scheme in terms of DMT characterization. Several interesting features are identified with respect to the impact of the CSI knowledge to the improvement in diversity or multiplexing brought by the CDR scheme.

[1]  Petar Popovski,et al.  Coordinated Transmissions to Direct and Relayed Users in Wireless Cellular Systems , 2010, 2011 IEEE International Conference on Communications (ICC).

[2]  Kin K. Leung,et al.  Wireless Network Coding with Imperfect Overhearing , 2010, ArXiv.

[3]  Petar Popovski,et al.  Multi-Flow Scheduling for Coordinated Direct and Relayed Users in Cellular Systems , 2013, IEEE Transactions on Communications.

[4]  H. Vincent Poor,et al.  Diversity-Multiplexing Trade-off in Adaptive Two-Way Relaying , 2011, IEEE Transactions on Information Theory.

[5]  Petar Popovski,et al.  Coordinated Direct and Relay Transmission with Interference Cancelation in Wireless Systems , 2011, IEEE Communications Letters.

[6]  E. Akuiyibo,et al.  Diversity-Multiplexing Tradeoff for the Slow Fading Interference Channel , 2008, 2008 IEEE International Zurich Seminar on Communications.

[7]  Petar Popovski,et al.  Bi-directional Amplification of Throughput in a Wireless Multi-Hop Network , 2006, 2006 IEEE 63rd Vehicular Technology Conference.

[8]  David Tse,et al.  Fundamentals of Wireless Communication , 2005 .

[9]  Lizhong Zheng,et al.  Diversity and multiplexing: a fundamental tradeoff in multiple-antenna channels , 2003, IEEE Trans. Inf. Theory.

[10]  Candice King,et al.  Fundamentals of wireless communications , 2013, 2014 67th Annual Conference for Protective Relay Engineers.

[11]  Sachin Katti,et al.  Embracing wireless interference: analog network coding , 2007, SIGCOMM '07.

[12]  Elza Erkip,et al.  Diversity-multiplexing tradeoff for MIMO wire-tap channels with CSIT , 2010, 2010 European Wireless Conference (EW).

[13]  Zixiang Xiong,et al.  Compress-forward coding with BPSK modulation for the half-duplex Gaussian relay channel , 2009, IEEE Trans. Signal Process..

[14]  Pooi Yuen Kam,et al.  Differential modulation for decode-and-forward multiple relay systems , 2010, IEEE Transactions on Communications.

[15]  Petar Popovski,et al.  Cell-Edge Multi-User Relaying with Overhearing , 2013, IEEE Communications Letters.

[16]  A. Bayesteh,et al.  Diversity-Multiplexing Trade-off in Z-channel , 2007, 2007 10th Canadian Workshop on Information Theory (CWIT).

[17]  Petar Popovski,et al.  Coordinated Direct and Relay Transmission With Linear Non-Regenerative Relay Beamforming , 2012, IEEE Signal Processing Letters.

[18]  Norman C. Beaulieu,et al.  Capacity of amplify-and-forward multi-hop relaying systems under adaptive transmission , 2010, IEEE Transactions on Communications.

[19]  Petar Popovski,et al.  Coordination of regenerative relays and direct users in wireless cellular networks , 2011, 2011 8th International Symposium on Wireless Communication Systems.