Energy-Efficient Bandwidth and Power Allocation in Relay-Assisted Multi-Layer Heterogeneous Networks with Energy Harvesting

doi:10.1007/s12204-021-2336-y

Abstract

Abstract: Aiming at excessive users existing in a pico base station (PBS) in the multi-layer heterogeneous networks, the resource allocation problem of maximizing the energy efficiency of the networks is investigated in this paper. By deploying a relay node with energy harvesting function, the data of some users in the PBS can be transferred to an adjacent idle PBS. The bandwidth and transmitting power of users and the relay node are both considered to formulate the resource allocation optimization problem. The objective is to maximize the energy efficiency of the whole heterogeneous networks under the constraints of the user’s minimum data rate and energy consumption. The suboptimal solution is obtained by using the particle swarm optimization (PSO) algorithm and quantum-behaved particle swarm optimization (QPSO) algorithm. Simulation results show that the adopted methods have higher energy efficiency than the conventional fixed power and bandwidth method. In addition, the time complexity of the adopted methods is relatively low.

Key words: energy harvesting, heterogeneous networks, energy efficiency

摘要： 针对多层异构网络中微微基站存用户过多的情况，本文研究了异构网络中能量效率最大化的资源分配问题。微微基站中部分用户的数据通过具有能量收集功能的中继节点传输到相邻的空闲微微基站。考虑用户和中继节点的带宽和发射功率，建立资源分配优化问题。在用户最小数据速率和能量消耗的约束条件下，使整个异构网络的能量效率最大化。采用粒子群优化算法和量子行为粒子群优化算法获得次优解。仿真结果表明，采用的方法比传统的固定功率和带宽方法具有更高的能量效率。此外，采用的方法的时间复杂度相对较低。

关键词: 能量收集，异构网络，能量效率

CLC Number:

TN915.65

GAO Jincheng (高锦程)，ZHAO Yisheng* (赵宜升)，CHEN Jiafa (陈加法)，CHEN Zhonghui (陈忠辉). Energy-Efficient Bandwidth and Power Allocation in Relay-Assisted Multi-Layer Heterogeneous Networks with Energy Harvesting[J]. J Shanghai Jiaotong Univ Sci, 2023, 28(6): 822-830.

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