Oblivious Sequential Decode and Forward Cooperative Strategies for the Wireless Relay Channel

In a dynamic wireless network where a source terminal communicates with a destination, in presence of other users in the network, it is worthwhile to consider oblivious relaying strategies of a relay in close proximity to the source transmitter. The source-relay channel is assumed to be a fixed gain additive white Gaussian noise (AWGN) channel due to source-relay colocation. The source-destination and the relay-destination transmissions are subject to block flat fading dynamics. A perfect channel state information (CSI) at the respective receivers only is assumed. With the expected throughput as a performance measure, we incorporate a two-layer broadcast approach into a cooperative strategy based on the decode-and-forward scheme - Sequential Decode-and Forward (SDF). The broadcast approach splits the transmitted rate into superimposed layers, corresponding to a "bad" and a "good" channel states, allowing better adaptation to the actual channel conditions. The achievable rate expressions for the SDF strategy are derived under the broadcast approach for multiple settings including single user, multiple-input single-output (MISO) and the general relay setting using successive decoding technique, both numerically and analytically. Continuous broadcasting lower bounds are derived for the MISO and for the oblivious cooperation scenarios.

[1]  Anders Høst-Madsen,et al.  Capacity bounds and power allocation for wireless relay channels , 2005, IEEE Transactions on Information Theory.

[2]  M. Yuksel,et al.  Broadcast strategies for the fading relay channel , 2004, IEEE MILCOM 2004. Military Communications Conference, 2004..

[3]  Shlomo Shamai,et al.  Single-User Broadcasting Protocols Over a Two-Hop Relay Fading Channel , 2006, IEEE Transactions on Information Theory.

[4]  Shlomo Shamai,et al.  Cooperative Schemes for a Source and an Occasional Nearby Relay in Wireless Networks , 2009, IEEE Transactions on Information Theory.

[5]  Abbas El Gamal,et al.  Capacity theorems for the relay channel , 1979, IEEE Trans. Inf. Theory.

[6]  Youjian Liu,et al.  Optimal rate allocation for superposition coding in quasi-static fading channels , 2002, Proceedings IEEE International Symposium on Information Theory,.

[7]  Shlomo Shamai,et al.  Transmitting to colocated users in wireless ad hoc and sensor networks , 2005, IEEE Transactions on Information Theory.

[8]  Frans M. J. Willems,et al.  The discrete memoryless multiple access channel with partially cooperating encoders , 1983, IEEE Trans. Inf. Theory.

[9]  Gregory W. Wornell,et al.  Cooperative diversity in wireless networks: Efficient protocols and outage behavior , 2004, IEEE Transactions on Information Theory.

[10]  Prakash Ishwar,et al.  Interaction strictly improves the Wyner-Ziv rate-distortion function , 2010, 2010 IEEE International Symposium on Information Theory.

[11]  Shlomo Shamai,et al.  Multi-Layer Broadcasting over a Block Fading MIMO Channel , 2007, IEEE Transactions on Wireless Communications.

[12]  Shlomo Shamai,et al.  On the Outage Probability of a Multiple-Input Single-Output Communication Link , 2007, IEEE Transactions on Wireless Communications.

[13]  Michael Gastpar,et al.  Cooperative strategies and capacity theorems for relay networks , 2005, IEEE Transactions on Information Theory.

[14]  Shlomo Shamai,et al.  Relaying protocols for two colocated users , 2006, IEEE Transactions on Information Theory.

[15]  Shlomo Shamai,et al.  A broadcast approach for a single-user slowly fading MIMO channel , 2003, IEEE Trans. Inf. Theory.

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

[17]  Shlomo Shamai,et al.  Iterative and One-shot Conferencing in Relay Channels , 2006, 2006 IEEE Information Theory Workshop - ITW '06 Punta del Este.

[18]  Thomas M. Cover,et al.  Broadcast channels , 1972, IEEE Trans. Inf. Theory.

[19]  Shlomo Shamai,et al.  Broadcast Cooperation Strategies for Two Colocated Users , 2006, IEEE Transactions on Information Theory.

[20]  Elza Erkip,et al.  User cooperation diversity. Part I. System description , 2003, IEEE Trans. Commun..

[21]  Uri Erez,et al.  Multi-layer SISO coding for MIMO channels , 2008, 2008 IEEE International Symposium on Information Theory.

[22]  Suhas N. Diggavi,et al.  Fundamental limits of diversity-embedded codes over fading channels , 2005, Proceedings. International Symposium on Information Theory, 2005. ISIT 2005..