Resource Allocation for D2D Underlaying Cellular Networks with Incomplete CSI

Device-to-device (D2D) communications support direct communications of users in proximity. It is a potential technology to improve the spectral efficiency and network capacity. Most researches on D2D resource allocation assume full Channel State Information (CSI). Considering the high overhead of obtaining full CSI, we investigate the resource allocation problem of D2D communications with incomplete CSI. Based on the Modulation and Coding Scheme (MCS), we first derive the closed-form expression of the rate selection probability with incomplete CSI by characterizing the unknown small-scale channel fading factor as Nakagami-m distribution. We then propose a bio-inspired power allocation and matching-based channel assignment strategy. Simulation results demonstrate that our algorithm outperforms the compared algorithms by achieving higher network capacities.