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低能耗高效率的分布式跨层资源分配算法 被引量:2

On Low Energy Consumption and High Efficiency Distributed Cross Layer Resource Allocation Algorithm
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摘要 为了最大化地减少过时CSI(Channel State Information,信道状态信息)对分布式无线多跳网络环境下跨层资源分配实际速率所造成的负面作用,提出了一种优化的补偿式跨层联合资源分配算法.该方法将信道存在相关性作为设计的理论前提,对瞬时和过时信道两种状态信息的概率密度函数进行详尽运算,并结合瑞利衰落信道模型进行分析,在得出运算结果之后就可以获得信噪比(SINR)模型下条件容量的闭式解.在提升网络性能方面,运用一种对过时信道状态信息展开有效处理的、可以联合拥塞控制、信道分配和功率控制的算法,将网络资源分配转变为一类NUM问题.实验结果表明,本文算法大幅度优化了分布式多跳网络资源分配机制,提高了网络资源的效用,并且减少了能耗. In order to maximize the reduction of outdated CSI (Channel State Information channel state in- formation) for distributed wireless multi-hop network environment the actual rate of cross-layer resource allocation resulting from the negative effects, an optimization compensating cross-layer joint resource allo- cation algorithm has been presented in this paper. With this method, in which channel correlation has been taken as a design theory premise, the two instantaneous and outdated channel states" probability density function have been calculated thoroughly, and Rayleigh fading channel model been combined to analysis, after calculation results could obtain the closed capacity solution under the conditions of SNR (SINR) mod el. In improving network performance, using an outdated channel state information algorithm which could develop effective treatment, congestion control, channel allocation and power control have been combined, and network resource allocation problem convert to a class of NUM has been taken. Experimental results show that the algorithm greatly optimizes distributed multi-hop network resource allocation mechanism, improves the effectiveness of the network resources and reduces energy consumption.
作者 邱彬
出处 《西南师范大学学报(自然科学版)》 CAS 北大核心 2017年第1期35-46,共12页 Journal of Southwest China Normal University(Natural Science Edition)
基金 汕头职业技术学院科研重点课题(SZK2016Z01)
关键词 多跳网络 跨层资源分配 相关性 信噪比 NUM问题 multi-hop network cross layer resource allocation correlation SNR NUM problem
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