位置:成果数据库 > 期刊 > 期刊详情页
Noisy Chaotic Neural Network for Resource Allocation in High-Speed Train OFDMA System
  • ISSN号:1006-4982
  • 期刊名称:《天津大学学报:英文版》
  • 时间:0
  • 分类:TN925.93[电子电信—通信与信息系统;电子电信—信息与通信工程] O224[理学—运筹学与控制论;理学—数学]
  • 作者机构:[1]Key Laboratory of Universal Wireless Communications, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing 100876, China, [2]College of Physics and Information Engineering, Fuzhou University, Fuzhou 350116, China
  • 相关基金:Supported by the National Natural Science Foundation of China (No. 61302080), Scientific Research Starting Foundation of Fuzhou University (No. 022572), and Science and Technology Development Foundation of Fuzhou University (No. 2013-XY-27).
中文摘要:

高速度的火车通讯系统是一个典型高活动性的无线通讯网络。资源分配问题在系统表演上有大影响。然而,在细胞的网络的常规资源分配途径不能直接被用于这种特殊通讯环境。多域资源分配策略在直角的频率部门被建议多重存取(OFDMA ) 高速度。由分析 Doppler 移动的效果,子通道,天线,时间槽和力量联合被认为在全部的传播力量的限制下面最大化精力效率。为减少计算复杂性的目的,吵闹的混乱神经网络算法被用来解决上述优化问题。模拟结果证明建议资源分配方法比传统的策略有更好的表演。

英文摘要:

High-speed train communication system is a typical high-mobility wireless communication network. Resource allocation problem has a great impact on the system performance. However, conventional resource allocation approaches in cellular network cannot be directly applied to this kind of special communication environment. A multidomain resource allocation strategy was proposed in the orthogonal frequency-division multiple access (OFDMA) of high-speed. By analyzing the effect of Doppler shift, sub-channels, antennas, time slots and power were jointly consid- ered to maximize the energy efficiency under the constraint of total transmission power. For the purpose of reducing the computational complexity, noisy chaotic neural network algorithm was used to solve the above optimization problem. Simulation results showed that the proposed resource allocation method had a better performance than the traditional strategy.

同期刊论文项目
同项目期刊论文
期刊信息
  • 《天津大学学报:英文版》
  • 主管单位:中华人民共和国教育部
  • 主办单位:天津大学
  • 主编:龚克
  • 地址:天津市南开区卫津路92号天津大学第19教学桉东配楼
  • 邮编:300072
  • 邮箱:trans@tju.edu.cn
  • 电话:022-27400281
  • 国际标准刊号:ISSN:1006-4982
  • 国内统一刊号:ISSN:12-1248/T
  • 邮发代号:6-128
  • 获奖情况:
  • 天津市一级期刊,被国内外十余家检索机构收录
  • 国内外数据库收录:
  • 俄罗斯文摘杂志,美国化学文摘(网络版),荷兰文摘与引文数据库,美国工程索引,英国英国皇家化学学会文摘
  • 被引量:153