Joint Resource Allocation Algorithm for D2D Communication in 5G Wireless Networks

Device-to-device (D2D) communication is one of the most emerging technology ies for improving spectrum efficiency and Data rate requirements in 5G wireless networks. It also reduces the offload traffic rate in advanced network communications employing wireless methods. In the present work, a Kuhn-Munkres-based joint uplink-downlink resource allocation approach (AKMJUDRA) is presented for obtaining optimized throughput for the network. This is at the time of considering the D2D users’ Quality of Service as well as cellular users (CUs). To be specific, the method in the proposal is allowing the device users for reusing the resource provisions of CUs during either downlink or uplink. Formulation of optimizing problems is done as a mixed integer non-linear programming language generally called NP-hard (Non-Polynomial time hardness). The issue is addressed in a couple of different stages. The first stage is assigning Sub Channel (SC) and the second stage is Power Allocation (PA). Finally, the results are compared with the existing Joint Uplink Downlink Resource Allocation (JUDRA) techniques. This verifies the performance of the SC assignment and PA with network throughput, maximum transmission power and distance as primary parameters. The Proposed AKMJUDRA approach is a convergence of an optimal solution in polynomial time.