Performance analysis of reliability filling on quasi-static fading channels

Cooperative communication techniques are network-based approaches to achieve spatial diversity in systems in which each node only has a single antenna. Many such techniques are based on relaying, which is effective in terms of error performance but requires a large information exchange among the cooperating nodes. Cooperative reception techniques that offer near-optimal performance with a smaller information exchange are an area of ongoing research. One promising approach is to investigate combining techniques that can be used as a model for designing efficient cooperative reception schemes. In this paper, we consider one such technique, called reliability filling, that combines only as much information as needed to meet some reliability threshold. We analyze the performance of this technique for several scenarios of interest. Analytical estimates of the overhead involved in reliability filling are also given. Analysis and simulation results show that reliability filling can offer performance close to maximal-ratio combining while combining fewer symbols.

[1]  Aria Nosratinia,et al.  Cooperation diversity through coding , 2002, Proceedings IEEE International Symposium on Information Theory,.

[2]  Matthew C. Valenti,et al.  Distributed turbo coded diversity for relay channel , 2003 .

[3]  Sergio Benedetto,et al.  Design of fixed-point iterative decoders for concatenated codes with interleavers , 2001, IEEE J. Sel. Areas Commun..

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

[5]  John M. Shea,et al.  Cooperative Diversity through Reliability Filling , 2003 .

[6]  Panganamala Ramana Kumar,et al.  An achievable rate for the multiple-level relay channel , 2005, IEEE Transactions on Information Theory.

[7]  Guido Tartara,et al.  Probability density functions of soft information , 2002, IEEE Communications Letters.

[8]  John M. Shea,et al.  Distributed decoding of r ectangular parity-check code , 2002 .

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

[10]  Mohamed-Slim Alouini,et al.  Digital Communication Over Fading Channels: A Unified Approach to Performance Analysis , 2000 .

[11]  Harry Leib,et al.  Evaluating the performance of convolutional codes over block fading channels , 1999, IEEE Trans. Inf. Theory.

[12]  Xin Li,et al.  Reliability exchange schemes for iterative packet combining in distributed arrays , 2003, 2003 IEEE Wireless Communications and Networking, 2003. WCNC 2003..

[13]  John Cocke,et al.  Optimal decoding of linear codes for minimizing symbol error rate (Corresp.) , 1974, IEEE Trans. Inf. Theory.

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

[15]  David Chase,et al.  Code Combining - A Maximum-Likelihood Decoding Approach for Combining an Arbitrary Number of Noisy Packets , 1985, IEEE Transactions on Communications.

[16]  Arun Avudainayagam ON APPROXIMATING THE DENSITY FUNCTION OF RELIABILITIES OF THE MAX-LOG-MAP DECODER , 2004 .

[17]  M. K. Simon,et al.  Digital communication over generalized fading channels: a unified approach to performance analysis , 2002 .

[18]  Sergio Benedetto,et al.  Design of fixed-point iterative decoders for concatenated codes with interleavers , 2000, Globecom '00 - IEEE. Global Telecommunications Conference. Conference Record (Cat. No.00CH37137).