多媒体多播组播单频网中免干扰动态信道分配

张海波; 刘盈娜; 李方伟; 刘开健

doi:10.11999/JEIT150044

多媒体多播组播单频网中免干扰动态信道分配

doi: 10.11999/JEIT150044

2.
(重庆邮电大学重庆市移动通信重点实验室重庆 400065) ②(北卡罗来纳州立大学电子与计算机工程系美国北卡罗来纳州 27695)

基金项目:

国家青年自然科学基金(61301122)，重庆市科委项目(cstc2014jcyjA 40052)和重庆市教委项目(KJ1400405)

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出版历程
- 收稿日期: 2015-01-08
- 修回日期: 2015-06-05
- 刊出日期: 2015-10-19

Interference-avoidance Dynamic Channel Allocation for Multimedia Broadcast Multicast Service Single Frequency Networks

2.
(Chongqing Key Laboratory of Mobile Communications Technology, Chongqing University of Posts and Telecommunications, Chongqing 400065, China)

Funds:

The National Natural Science Foundation of China (61301122)

摘要

摘要: 为了避免多媒体多播组播单频网(MBSFN)区域内部和区域之间的干扰，进一步提高频谱效率，该文提出一种改进的基于噪声调节时滞噪声混沌神经网络(NHNCNN)的动态信道分配方法。首先，根据MBSFN区域的特殊拓扑结构，重新定义了4种电磁兼容限制函数，在此基础上精心构建了免干扰的NHNCNN能量函数。其次对NHNCNN的稳态判定进程加以改进以提高系统的收敛速度。特别地，采用类二分法联合NHNCNN去搜索最小信道分配总数。仿真结果表明，利用富足的NHNCNN时滞、噪声和混沌神经动力，所提算法能有效地搜索到合理解，并最终找到全局最优解，提高了频谱效率。与现有方法相比，所提算法能够实现更好的收敛速度和合理解率。
- 抗干扰 /
- 动态信道分配 /
- 多媒体多播组播单频网 /
- 噪声调节时滞噪声混沌神经网络 /
- 类二分法
Abstract: A dynamic channel allocation algorithm is proposed to avoid all interference and improve spectrum efficiency in Multimedia Broadcast multicast service Single Frequency Networks (MBSFN). Four electromagnetic compatibility constraint functions are redefined according to the topology information of MBSFN. In order to avoid all intra-area and inter-area interference of MBSFN, a novel energy function of Noise-tuning-based Hysteretic Noisy Chaotic Neural Network (NHNCNN) is constructed elaborately based on renewed constraint functions. Also, the judgment process of the stable state of NHNCNN is developed to accelerate system convergence. Specifically, the dichotomy method is adopted jointly to minimize the total number of allocated channels so as to further improve spectrum efficiency. Simulation results show that a feasible solution without any interference can be effectively searched by the improved NHNCNN. Finally, the optimal solution with minimum total channel number is found. Compared with existing algorithms, the proposed algorithm achieves better convergence speed and quality of solution.

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