Nash bargaining solution based subcarrier allocation for uplink SC-FDMA distributed antenna network

The system capacity of single-carrier frequency division multiple access (SC-FDMA) can be increased by allocating subcarriers to users who are in a good channel condition. However, there is a tradeoff between system capacity and fairness among users. Nash bargaining solution (NBS) in cooperative game theory can be used to solve this tradeoff problem. However, very high computational complexity is required to find the NBS. In this paper, we propose a reduced complexity suboptimal NBS based subcarrier allocation, which requires lower computational complexity while achieving the system capacity and fairness among users similar to the NBS. The proposed suboptimal NBS subcarrier allocation is applied to distributed antenna network (DAN) using frequency-domain space-time transmit diversity (FD-STTD). Numerical computation results show that the proposed NBS based subcarrier allocation achieves the system capacity comparable to Proportionally Fair (PF) map while achieving a higher fairness than PF map.