北京邮电大学学报

  • EI核心期刊

北京邮电大学学报 ›› 2007, Vol. 30 ›› Issue (2): 67-70.doi: 10.13190/jbupt.200702.67.xujj

• 论文 • 上一篇    下一篇

基于微正则退火的频率分配方法

徐俊杰,忻展红   

  1. ( 1. 北京邮电大学 信息管理与经济信息产业部重点实验室, 北京 100876; 2.安庆师范学院 经济与管理学院, 安庆 246011)
  • 收稿日期:2006-04-04 修回日期:1900-01-01 出版日期:2007-04-30 发布日期:2007-04-30
  • 通讯作者: 徐俊杰

Frequency Assignment Approach Based on Microcanonical Annealing

XU Jun-jie, XIN Zhan-hong   

  1. ( 1. Key Laboratory for Information Management and Economics, Beijing University of Posts and Telecommunications, Beijing 100876, China; 2. Economics and Management College, Anqing Teachers College, Anqing 246011, China)
  • Received:2006-04-04 Revised:1900-01-01 Online:2007-04-30 Published:2007-04-30
  • Contact: XU Jun-jie

摘要:

为了提高蜂窝移动通信网中频率资源的利用效率,提出了一种基于微正则退火算法的频率分配方法. 该方法将电磁干扰作为系统能量函数,通过一只虚拟妖在状态空间中的随机行走实现频率配置的优化. 仿真表明,在可分配频点资源充分时,该算法与模拟退火算法性能相当. 当频点资源紧张时,微正则退火算法的优越性得以体现,其搜索成功率远高于模拟退火算法,能更快地得到最优解. 仿真中典型的优化轨迹也证明了微正则退火算法具有快速收敛的特点.

关键词: 微正则退火, 模拟退火, 频率分配, 组合优化

Abstract:

In order to utilize the available frequencies efficiently in cellular mobile communication network, a frequency assignment method based on microcanonical annealing algorithm was proposed. In this approach, the optimal frequency deployment was achieved by random walks of demon in the state space when the potential interference was defined as an energy function. Simulations show that if available frequencies are sufficient, the proposed algorithm can achieve equivalent results compared with simulated annealing algorithm. However when available frequencies are reduced, this new heuristic algorithm offers better results with higher probability to hit the global optimum at the cost of less function evaluations. In addition, its fast convergence is also demonstrated by typical optimization tracks.

Key words: microcanonical annealing, simulated annealing, frequency assignment, combinatorial optimization

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