Adaptive resource allocation for the fading interference channel with source cooperation

In this paper, we consider the Gaussian interference channel consisting of two source-destination pairs where the sources cooperate to transmit their messages to their respective destination. We assume block fading and that the nodes are constrained to half-duplex operation. For this channel, assuming availability of channel state information (CSI), we determine the optimal adaptive scheduling of reception and transmission at the source nodes. Thereby, the proposed protocol chooses one of the information flows, decides whether to transmit directly or cooperatively to the corresponding destination, and specifies the required transmission strategy such that the achievable ergodic rate region is maximized. Numerical results reveal that the proposed protocol can effectively realize the diversity offered by the fading processes of the different links in the interference channel.

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

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

[3]  Vinod M. Prabhakaran,et al.  Interference Channels With Source Cooperation , 2011, IEEE Transactions on Information Theory.

[4]  Vinod M. Prabhakaran,et al.  Interference Channels With Destination Cooperation , 2009, IEEE Transactions on Information Theory.

[5]  Mohamed-Slim Alouini,et al.  Opportunistic transmitter selection for selfless overlay cognitive radios , 2013, 2013 Asilomar Conference on Signals, Systems and Computers.

[6]  Vahid Jamali,et al.  Achievable Rate Region of the Bidirectional Buffer-Aided Relay Channel With Block Fading , 2013, IEEE Transactions on Information Theory.

[7]  Vinod M. Prabhakaran,et al.  Interference Channels With Half-Duplex Source Cooperation , 2014, IEEE Trans. Inf. Theory.

[8]  Robert Schober,et al.  Buffer-aided cooperative communications: opportunities and challenges , 2014, IEEE Communications Magazine.

[9]  D. Slepian,et al.  A coding theorem for multiple access channels with correlated sources , 1973 .

[10]  Yong Peng,et al.  Capacity bounds of half-duplex gaussian cooperative interference channel , 2009, 2009 IEEE International Symposium on Information Theory.

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