INTERFERENCE MITIGATION FOR DYNAMIC USER CONNECTIVITY USING SDN AND RADIO RESOURCE MANAGEMENT IN CELL-LESS NETWORKS

Next Generation communications aim to improve Quality of Service (QoS) via ultra-reliable low latency communication (URLLC), enhanced Mobile Broadband (eMBB), and massive machine type communication (mMTC). However, interference poses challenges in wireless domains. Interference mitigation is a fundamental goal, enabling centralized routing-based interference avoidance through Software Defined Networking (SDN) and Radio Resources Management (RRM). The goal of this paper employs SDN technology, RRM approach and the particle swarm optimization (PSO) technique to generate dynamic bias for calculate cell spectral efficiency (CSE) when users encounter interference from the same tier and other tiers BSs in both cellular and cell-less networks. The static biasing scheme's performance for values between 0 dB to 30 dB that compares with dynamic bias. The simulation results show that when the static bias value increases from 0 dB to 20 dB, the CSE increases. After the static value reaching 30 dB the interference occurs and the CSE value decreases in the cellular network. The CSE value rises with the increases of the static bias value from 0 dB to 30 dB in the cell-less network. The CSE value in cell-less network is higher than the CSE value in cellular network. The CSE value in the dynamic bias is higher than the static bias.