PSO-based Resource Allocation in Software-Defined Heterogeneous Cellular Networks

• Wenrong Gong,
• Lihua Pang,
• Jing Wang,
• Meng Xia,

Vol. 13, No. 5, May 30, 2019
10.3837/tiis.2019.05.001, Download Paper (Free):

• SDN
• Heterogeneous Cellular Network
• Resource Allocation
• PSO
• Energy Efficiency

Abstract

A heterogeneous cellular network (HCN) is useful to increase the spectral and energy efficiency of wireless networks and to reduce the traffic load from the macro cell. The performance of the secondary user equipment (SUE) is affected by interference from the eNodeB (eNB) in a macro cell. To decrease the interference between the macro cell and the small cell, allocating resources properly is essential to an HCN. This study considers the scenario of a software-defined heterogeneous cellular network and performs the resource allocation process. First, we show the system model of HCN and formulate the optimization problem. The optimization problem is a complex process including power and frequency resource allocation, which imposes an extremely high complexity to the HCN. Therefore, a hierarchical resource allocation scheme is proposed, which including subchannel selection and a particle swarm optimization (PSO)-based power allocation algorithm. Simulation results show that the proposed hierarchical scheme is effective in improving the system capacity and energy efficiency.

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