Resource Sharing for Cellular-Assisted D2D Communications With Imperfect CSI: A Many-to-Many Strategy

Abstract

The rising demand for higher access rate and higher data rate applications will lead to the shortage of available spectrum resources. In this article, we propose a scalable framework to share resources and design a reasonable and effective resource management scheme to solve the resource allocation and power control problems of device-to-device (D2D) communication in dense scenarios. First, in order to maximize system throughput and user access rate by using many-to-many resource sharing to improve spectrum utilization. Second, considering imperfect channel state information, we propose a subcell division strategy based on location information, with the set partitioning algorithm to model intracell users as multiple many-to-many resource sharing sets satisfy the constraints. Finally, the problems of interference accumulation and low computational efficiency, a distributed power optimization algorithm based on quadratic transform is devised, which solves the multiratio fractional planning problem through the three steps of convex relaxation, fractional programming and alternating optimization. Experimental results show that the system throughput and D2D user access rate can be significantly enhanced with the proposed resource sharing framework and resource management scheme, especially in systems with a dense D2D deployment.