A Cooperative Power Control Scheme for Two-User Gaussian Interference Channel

In this paper, a cooperative power control scheme is proposed for two-user Gaussian interference channel (GIC) to mitigate the interference and improve the sum-rate. In the proposed scheme, codewords are divided into several segments. By jointly adjusting the power of each segment for the two users, the proposed scheme achieves a balance between increasing the entropy of signal and decreasing the entropy of interference, and thus maximizes the sum-rate. To solve the sum-rate maximization problem, an iterative algorithm combining both simulated annealing and gradient descent methods is also proposed. Numerical results show that the proposed scheme not only achieves higher sum-rate, but also provides better user fairness compared with the traditional schemes.

[1]  Amir K. Khandani,et al.  Achievable sum-rate of the two-user Gaussian interference channel through rate-splitting and successive decoding , 2015, 2015 53rd Annual Allerton Conference on Communication, Control, and Computing (Allerton).

[2]  Te Sun Han,et al.  A new achievable rate region for the interference channel , 1981, IEEE Trans. Inf. Theory.

[3]  Thomas M. Cover,et al.  An achievable rate region for the broadcast channel , 1975, IEEE Trans. Inf. Theory.

[4]  Aydano B. Carleial,et al.  A case where interference does not reduce capacity (Corresp.) , 1975, IEEE Trans. Inf. Theory.

[5]  Xin Wang,et al.  Interference Cancellation in Broadband Wireless Systems Utilizing Phase-Aligned Injection-Locked Oscillators , 2008, IEEE Transactions on Circuits and Systems II: Express Briefs.

[6]  Yang Weng,et al.  On the Han-Kobayashi achievable region for Gaussian interference channels , 2008, 2008 IEEE International Symposium on Information Theory.

[7]  Rahim Tafazolli,et al.  On Interference Avoidance Through Inter-Cell Interference Coordination (ICIC) Based on OFDMA Mobile Systems , 2013, IEEE Communications Surveys & Tutorials.

[8]  Lizhong Zheng,et al.  A Coordinate System for Gaussian Networks , 2010, IEEE Transactions on Information Theory.

[9]  Hua Wang,et al.  Gaussian Interference Channel Capacity to Within One Bit , 2007, IEEE Transactions on Information Theory.

[10]  R. Ahlswede The Capacity Region of a Channel with Two Senders and Two Receivers , 1974 .

[11]  H. Vincent Poor,et al.  Simplified Han-Kobayashi region for one-sided and mixed Gaussian interference channels , 2016, 2016 IEEE International Conference on Communications (ICC).

[12]  Aydano B. Carleial,et al.  Interference channels , 1978, IEEE Trans. Inf. Theory.

[13]  Hiroshi Sato,et al.  The capacity of the Gaussian interference channel under strong interference , 1981, IEEE Trans. Inf. Theory.

[14]  Venugopal V. Veeravalli,et al.  Gaussian interference networks: sum capacity in the low-interference regime and new outer bounds on the capacity region , 2009, IEEE Trans. Inf. Theory.

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

[16]  Daniela Tuninetti,et al.  Interference as Noise: Friend or Foe? , 2015, IEEE Transactions on Information Theory.

[17]  Claude E. Shannon,et al.  Two-way Communication Channels , 1961 .

[18]  Taesoo Kwon,et al.  Design and implementation of a simulator based on a cross-layer protocol between MAC and PHY layers in a WiBro Compatible.IEEE 802.16e OFDMA system , 2005, IEEE Commun. Mag..