Two-dimensional distributed spectrum reusing in cognitive radio network: Based on game theory

We investigate the global throughput maximization of distributed spectrum reusing (DSR) in cognitive radio (CR) network, which reaches the two-dimensional spectrum multiplexing. Most previous works only consider the temporal-domain accessing, which greatly underutilize the spectrum resources. In this paper, we propose a new temporal-spatial spectrum reusing scheme by fully exploiting the location information of devices, where multiple users can access one channel simultaneously. In distributed applications, the global information will be unavailable, and therefore a non-cooperative game is formulated. It is proved as an exact potential game (EPG), which has at least one pure strategy Nash equilibrium (NE). Then, an improved decentralized reinforcement learning (RL) algorithm is developed to achieve the NE points. The network performance is evaluated by computer simulations.