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IEEE 802.16e系统中的软切换策略 被引量:1
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作者 朱诗威 张华熊 贾会玲 《计算机工程与应用》 CSCD 北大核心 2010年第17期113-116,共4页
切换是移动网络最重要的技术之一,直接影响着通信系统的整体性能。研究了IEEE 802.16e系统基于CINR(Carrier to Interference+Noise Ratio,载波干扰噪声比)的软切换机制,提出绝对门限和相对门限相结合的软切换触发和判决算法。通过仿真... 切换是移动网络最重要的技术之一,直接影响着通信系统的整体性能。研究了IEEE 802.16e系统基于CINR(Carrier to Interference+Noise Ratio,载波干扰噪声比)的软切换机制,提出绝对门限和相对门限相结合的软切换触发和判决算法。通过仿真研究了各参数对平均切换次数、切换损耗概率和网络资源利用率的影响,并在这些系统性能之间寻求折中。 展开更多
关键词 IEEE 802.16e 载波干扰噪声比 服务质量 快速基站转换 宏分集切换 软切换
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基于负载平衡的IEEE 802.16切换机制改进
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作者 张书聃 陶洋 《计算机应用》 CSCD 北大核心 2009年第B06期15-17,共3页
针对802.16标准中目标基站总是被动接受切换可能引起的网络负载不均的问题,提出一种基于负载平衡的目标基站选择性主动切换的方法来解决这个问题。通过仿真证明,该方法具有较好性能,在吞吐量和端到端时延上都得到了一定程度的提高。
关键词 切换 载波干扰加噪声比 主动切换
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Optimal Power Allocation Strategy for TBLAST Based 4G Systems
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作者 Wu YIN Pei XIAO 《Engineering(科研)》 2009年第2期91-98,共8页
There is a big demand for increasing number of subscribers in the fourth generation mobile communication systems. However, the system performance is limited by multi-path propagations and lack of efficient power alloc... There is a big demand for increasing number of subscribers in the fourth generation mobile communication systems. However, the system performance is limited by multi-path propagations and lack of efficient power allocation algorithms in conventional wireless communication systems. Optimal resource allocation and interference cancellation issues are critical for the improvement of system performance such as throughput and transmission reliability. In this paper, a turbo coded bell lab space time system (TBLAST) with optimal power allocation techniques based on eigen mode, Newton and convex optimization method and carrier-interference-and-noise ratio (CINR) are proposed to improve link reliability and to increase throughput with reasonable computational complexity. The proposed scheme is evaluated by Monte-Carlo simulations and is shown to outperform the conventional power allocation scheme. 展开更多
关键词 carrier Interference and Noise ratio (cinr) Convolutional TURBO CODED BELL Space Time (TBLAST) EIGEN Mode (EM) Optimal Power Allocation (OPL) Automatic Differentiation (AD) SYMBOLIC DERIVATIVE (S
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