| 基于萤火虫算法的多中继选择策略 |
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| 引用本文： | 程铜龙,张涵.基于萤火虫算法的多中继选择策略[J].华南师范大学学报(自然科学版),2016,48(3):88-92. |
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| 作者姓名： | 程铜龙 张涵 |
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| 作者单位： | 1.（华南师范大学物理与电信工程学院,广州 510006） |
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| 基金项目： | 国家自然科学基金项目（61471176,61002012）;广东省自然科学基金项目（S2013010016297）;广东省数字信号与图像处理技术重点实验室开放基金项目（2015）;广东省高等学校优秀青年教师培养计划项目（YQ2015046） |
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| 摘 要： | 〖JP2〗中继选择(RS)和功率控制是无线中继网络的2个重要组成部分.当中继节点以全功率协作和不协作时,中继选择等同于功率控制.因此,最佳信噪比（SNR）被描述称为0-1非线性整数规划问题（0-1 nonlinear programming integer problem,NLIP）.文中提出了基于萤火虫算法（Glowworm Swarm Optimization, GSO）的多中继选择策略,仿真结果表明,基于GSO算法的多中继选择能够获得最佳信噪比值,且性能优于穷举搜索、单一RS方案及其他次优化方案.〖JP〗
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| 关 键 词： | 无线网络 多中继选择 萤火虫算法 |
| 收稿时间： | 2015-04-27 |
Multiple Relay Selection Scheme Based on Glowworm Swarm Optimization Algorithm |
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| Institution: | 1.(School of Physics and Telecommunication Engineering,South China Normal University,Guangzhou 510006,China) |
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| Abstract: | Relay selection (RS) and power control are two essential parts in wireless relay network. RS is equal to power control in the condition that a relay cooperates with its full power or without any cooperation. Thus, the optimal signal-to-noise ratio (SNR) is interpreted as a 0-1 nonlinear programming integer problem (NLIP). A Glowworm Swarm Optimization (GSO) based multiple relay selection (MRS) scheme is proposed, which can fully obtain the optimal SNR value. Simulations results show that the proposed GSO-aided MRS scheme is superior to the conventional schemes, including the exhaustive search methods, single RS scheme and other suboptimal MRS schemes. |
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