State-dependent Gaussian Z-channel with mismatched side-information and interference

A state-dependent Gaussian Z-interference channel model is investigated in the regime of high state power, in which transmitters 1 and 2 communicate with receivers 1 and 2, and only receiver 2 is interfered by transmitter 1's signal and a random state sequence. The state sequence is known noncausally only to transmitter 1, not to the corresponding transmitter 2. A layered coding scheme is designed for transmitter 1 to help interference cancelation at receiver 2 (using a cognitive dirty paper coding) and to transmit its own message to receiver 1. Inner and outer bounds are derived, and are further analyzed to characterize the boundary of the capacity region either fully or partially for all Gaussian channel parameters. Our results imply that the capacity region of such a channel with mismatched transmitter-side state cognition and receiver-side state interference is strictly less than that of the corresponding channel without state, which is in contrast to Costa type of dirty channels, for which dirty paper coding achieves the capacity of the corresponding channels without state.

[1]  Igal Sason,et al.  On achievable rate regions for the Gaussian interference channel , 2004, IEEE Transactions on Information Theory.

[2]  Shlomo Shamai,et al.  Cognitive interference channels with state information , 2008, 2008 IEEE International Symposium on Information Theory.

[3]  Yingbin Liang,et al.  Gaussian cognitive interference channels with state , 2012, 2012 IEEE International Symposium on Information Theory Proceedings.

[4]  Lili Zhang,et al.  Gaussian Interference Channel with State Information , 2013, IEEE Transactions on Wireless Communications.

[5]  Uri Erez,et al.  Lattice Strategies for the Dirty Multiple Access Channel , 2007, IEEE Transactions on Information Theory.

[6]  I-Hsiang Wang Approximate Capacity of the Dirty Multiple-Access Channel With Partial State Information at the Encoders , 2012, IEEE Transactions on Information Theory.

[7]  Shlomo Shamai,et al.  Bounds on the Capacity of the Relay Channel With Noncausal State at the Source , 2011, IEEE Transactions on Information Theory.

[8]  Hamid Behroozi,et al.  On the Achievable Rate-Regions for State-Dependent Gaussian Interference Channel , 2013, ArXiv.

[9]  I-Hsiang Wang Distributed Interference Cancellation in Multiple Access Channels , 2010, ArXiv.

[10]  S. Hajizadeh,et al.  State-dependent Z channel , 2013, 2014 48th Annual Conference on Information Sciences and Systems (CISS).

[11]  Azadeh Vosoughi,et al.  On the capacity of the state-dependent cognitive interference channel , 2013, 2013 IEEE International Symposium on Information Theory.

[12]  Yingbin Liang,et al.  Bounds and Capacity Theorems for Cognitive Interference Channels With State , 2012, IEEE Transactions on Information Theory.

[13]  Shlomo Shamai,et al.  On the capacity region of Gaussian interference channels with state , 2013, 2013 IEEE International Symposium on Information Theory.

[14]  Lili Zhang,et al.  Symmetric Gaussian interference channel with state information , 2011, 2011 49th Annual Allerton Conference on Communication, Control, and Computing (Allerton).

[15]  Max H. M. Costa,et al.  Writing on dirty paper , 1983, IEEE Trans. Inf. Theory.

[16]  J. Nicholas Laneman,et al.  Multiaccess Channels with State Known to Some Encoders and Independent Messages , 2008, EURASIP J. Wirel. Commun. Netw..