PSO-based Resource Allocation in Software-Defined Heterogeneous Cellular Networks
PSO-based Resource Allocation in Software-Defined Heterogeneous Cellular Networks
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DOI：
10.3837/tiis.2019.05.001
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发表时间：
2019-05
期刊：
影响因子：
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通讯作者：
Wenrong Gong;Lihua Pang;Jing Wang;Meng Xia
中科院分区：
文献类型：
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作者：
Wenrong Gong;Lihua Pang;Jing Wang;Meng Xia
异构蜂窝网络（HCN）对于增加无线网络的频谱和能量效率以及减少来自宏小区的业务负载是有用的。次级用户设备（SUE）的性能受到来自宏小区中的eNodeB（eNB）的干扰的影响。为了减少宏小区和小小区之间的干扰，适当地分配资源对于HCN是必不可少的。本研究考虑软件定义的异构蜂窝网络的场景，并执行资源分配过程。首先，我们展示了HCN的系统模型，并制定了优化问题。优化问题是一个复杂的过程，包括功率和频率资源分配，这给HCN带来了极高的复杂性。为此，提出了一种分层资源分配方案，包括子信道选择和基于粒子群优化的功率分配算法。仿真结果表明，该分层调度方案能有效提高系统容量和能量效率。
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.