Resource Allocation Schemes Based on Intelligent Optimization Algorithms for D2D Communications Underlaying Cellular Networks

Abstract EN

In this paper, the resource allocation problem for device-to-device (D2D) communications underlaying cellular networks is formulated and analyzed.

In our scenario, we consider that the number of D2D user equipment (DUE) pairs is far larger than that of cellular user equipments (CUEs).

Meanwhile, the resource blocks are divided into two types: resource blocks for CUEs and the ones for CUEs and DUEs.

Firstly, the system model is presented, and the resource allocation problem is formulated.

Then, a resource allocation scheme based on the genetic algorithm is proposed.

To overcome the problem that the dedicated resource is not fully shared in the genetic algorithm, an improved harmony search algorithm is proposed for resource allocation.

Finally, the analysis and simulation results show that the performances of the proposed genetic algorithm and the improved harmony search algorithm outperform than that of the random algorithm and are very close to that of the exhaustive algorithm.

This result can provide an effective optimization for resource allocation of D2D communications.