Modified Sine-Cosine Algorithm-Based Resource Allocation Scheme for 5G Networks

The 5G networks support two types of users: cellular (CU) users and device-to-device (D2D) users. The D2D users communicate to each other within closed proximity with the partial involvement of base station (BS). The D2D users reuse CU user's resource block for their communication so that interference is generated at the CU user and D2D user side which reduces the network throughput. To minimize interference, a proper resource allocation scheme is required. Therefore, in this paper, a resource allocation scheme is proposed for 5G network. The proposed scheme is based on graph-based and modified sine-cosine algorithm. The resource allocation problem is a non-convex optimization problem; therefore, the constraints are relaxed and modified in convex optimization. The proposed scheme is comprises of two steps. In first step, we have design an interference matrix. This matrix contains the interference information of each user. In second step, the modified sine-cosine optimization technique is applied over interference matrix. The proposed scheme is compared with random, graph-based and optimization-based scheme (particle swarm optimization) and it is observed that proposed scheme gives better result.