A Signal Subspace Interference Alignment Scheme with Sum Rate Maximization and Altruistic-Egoistic Bayesian Gaming

Abstract

In this paper, we propose a distributed signal subspace interference alignment algorithm for single beam K − user (3 K ≥) MIMO interference channel based on sum rate maximization and game theory. A framework of game theory is provided to study relationship between interference signal subspace and altruistic-egoistic bayesian game cost function. We demonstrate that the asymptotic interference alignment under proposed scheme can be realized through a numerical algorithm using local channel state information at transmitters and receivers. Simulation results show that the proposed scheme can achieve the total degrees of freedom that is equivalent to the Cadambe-Jafar interference alignment algorithms with perfect channel state information. Furthermore, proposed scheme can effectively minimize leakage interference in desired signal subspace at each receiver and obtain a moderate average sum rate performance compared with several existing interference alignment schemes.

Interference Alignment Based Transceiver Design in OSG mode of HetNets

“…We then compare the total achievable rate with same parameters configuration when the CRE offset 12 dB α = in Fig. 6, the minimum antennas number which satified the feasible condition of every proposed scheme is used as follows: case 1: (2, 2, 6, 3, 3, 1); case 2: (2, 3, 12, 4, 4, 1); case 3: (3,3,12,8,4,1). It is shown from each case that the total achievable rate of ODC-IA scheme is largest and that of ZF-IA is smallest.…”

“…IA is pioneered in multi-user multiple input multiple output (MU-MIMO) interference channel [5][6][7][8]. It concluded that each user can use half of the channel resources to make an interference-free communication regardless of user number.…”

“…According to the process of solving precoding matrices, IA can be devided into two branches. One is the linear IA algorithms in closed-form expressions [5,6], and the other is the iterative IA algorithms utilizing the reciprocity of wireless channel in cellular networks [7,8]. Recently, IA has been employed to manage the interference in conventional single-tier cellular networks [9,10] and two-tier HetNets [3][4], [11][12][13][14][15][16][17][18][19][20].…”