多媒體多播組播單頻網(wǎng)中免干擾動(dòng)態(tài)信道分配
doi: 10.11999/JEIT150044
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2.
(重慶郵電大學(xué)重慶市移動(dòng)通信重點(diǎn)實(shí)驗(yàn)室 重慶 400065) ②(北卡羅來納州立大學(xué)電子與計(jì)算機(jī)工程系 美國北卡羅來納州 27695)
基金項(xiàng)目:
國家青年自然科學(xué)基金(61301122)，重慶市科委項(xiàng)目(cstc2014jcyjA 40052)和重慶市教委項(xiàng)目(KJ1400405)
Interference-avoidance Dynamic Channel Allocation for Multimedia Broadcast Multicast Service Single Frequency Networks
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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)
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摘要: 為了避免多媒體多播組播單頻網(wǎng)(MBSFN)區(qū)域內(nèi)部和區(qū)域之間的干擾，進(jìn)一步提高頻譜效率，該文提出一種改進(jìn)的基于噪聲調(diào)節(jié)時(shí)滯噪聲混沌神經(jīng)網(wǎng)絡(luò)(NHNCNN)的動(dòng)態(tài)信道分配方法。首先，根據(jù)MBSFN區(qū)域的特殊拓?fù)浣Y(jié)構(gòu)，重新定義了4種電磁兼容限制函數(shù)，在此基礎(chǔ)上精心構(gòu)建了免干擾的NHNCNN能量函數(shù)。其次對(duì)NHNCNN的穩(wěn)態(tài)判定進(jìn)程加以改進(jìn)以提高系統(tǒng)的收斂速度。特別地，采用類二分法聯(lián)合NHNCNN去搜索最小信道分配總數(shù)。仿真結(jié)果表明，利用富足的NHNCNN時(shí)滯、噪聲和混沌神經(jīng)動(dòng)力，所提算法能有效地搜索到合理解，并最終找到全局最優(yōu)解，提高了頻譜效率。與現(xiàn)有方法相比，所提算法能夠?qū)崿F(xiàn)更好的收斂速度和合理解率。
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關(guān)鍵詞:
- 抗干擾 /
- 動(dòng)態(tài)信道分配 /
- 多媒體多播組播單頻網(wǎng) /
- 噪聲調(diào)節(jié)時(shí)滯噪聲混沌神經(jīng)網(wǎng)絡(luò) /
- 類二分法
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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