Achievable Rates and Optimal Resource Allocation for Imperfectly-Known Fading Relay Channels

In this paper, achievable rates and optimal resource allocation strategies for imperfectly-known fading relay channels are studied. It is assumed that communication starts with the network training phase in which the receivers estimate the fading coefficients of their respective channels. In the data transmission phase, amplify-and-forward and decode-and-forward relaying schemes with different degrees of cooperation are considered, and the corresponding achievable rate expressions are obtained. Three resource allocation problems are addressed: 1) power allocation between data and training symbols; 2) time/bandwidth allocation to the relay; 3) power allocation between the source and relay in the presence of total power constraints. The achievable rate expressions are employed to identify the optimal resource allocation strategies. Finally, energy efficiency is investigated by studying the bit energy requirements in the low-SNR regime.

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

[2]  Sergio Verdú,et al.  Spectral efficiency in the wideband regime , 2002, IEEE Trans. Inf. Theory.

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

[4]  Mohammad Reza Aref,et al.  The capacity of the semideterministic relay channel , 1982, IEEE Trans. Inf. Theory.

[5]  Petar Popovski,et al.  Cooperation in Wireless Networks , 2006 .

[6]  Massimo Franceschetti,et al.  SPECIAL ISSUE ON MODELS, THEORY, AND CODES FOR RELAYING AND COOPERATION IN COMMUNICATION NETWORKS , 2007 .

[7]  Helmut Bölcskei,et al.  Fading relay channels: performance limits and space-time signal design , 2004, IEEE Journal on Selected Areas in Communications.

[8]  Muriel Médard,et al.  The effect upon channel capacity in wireless communications of perfect and imperfect knowledge of the channel , 2000, IEEE Trans. Inf. Theory.

[9]  E. Meulen,et al.  Three-terminal communication channels , 1971, Advances in Applied Probability.

[10]  Sami Akin,et al.  Achievable rates and training optimization for fading relay channels with memory , 2008, 2008 42nd Annual Conference on Information Sciences and Systems.

[11]  Bo Wang,et al.  Achievable Rates and Scaling Laws of Power-Constrained Wireless Sensory Relay Networks , 2006, IEEE Transactions on Information Theory.

[12]  David Tse,et al.  Outage Capacity of the Fading Relay Channel in the Low-SNR Regime , 2006, IEEE Transactions on Information Theory.

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

[14]  Mustafa Cenk Gursoy,et al.  To Cooperate, or not to cooperate in imperfectly-known fading channels , 2008, 2008 IEEE 9th Workshop on Signal Processing Advances in Wireless Communications.

[15]  Mustafa Cenk Gursoy An Energy Efficiency Perspective on Training for Fading Channels , 2007, 2007 IEEE International Symposium on Information Theory.

[16]  Anders Høst-Madsen,et al.  Capacity bounds for Cooperative diversity , 2006, IEEE Transactions on Information Theory.

[17]  Yingbin Liang,et al.  Gaussian orthogonal relay channels: optimal resource allocation and capacity , 2005, IEEE Transactions on Information Theory.

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

[19]  Gerhard Kramer,et al.  Cooperative Communications , 2007, Found. Trends Netw..

[20]  Babak Hassibi,et al.  How much training is needed in multiple-antenna wireless links? , 2003, IEEE Trans. Inf. Theory.

[21]  Georgios B. Giannakis,et al.  On energy efficiency and optimum resource allocation of relay transmissions in the low-power regime , 2005, IEEE Transactions on Wireless Communications.

[22]  Frank H. P. Fitzek,et al.  Cooperation in Wireless Networks: Principles and Applications , 2006 .

[23]  Patrick Mitran,et al.  Space-time diversity enhancements using collaborative communications , 2005, IEEE Transactions on Information Theory.

[24]  Elza Erkip,et al.  User cooperation diversity. Part II. Implementation aspects and performance analysis , 2003, IEEE Trans. Commun..