
FOLLOWUS
1.School of Electronic and Information Engineering, South China University of Technology, Guangzhou 510640, China
2.School of Physics and Telecommunication Engineering, South China Normal University, Guangzhou 510006, China
Sui-li FENG, E-mail: Fengsl@scut.edu.cn
收稿:2013-10-29,
修回:2014-;4-11,
纸质出版:2014-05
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无线多跳网络中考虑过时信道状态信息的跨层资源分配[J]. 信息与电子工程前沿(英文), 2014,15(5):337-350.
Wei FENG, Sui-li FENG, Yue-hua DING, et al. Cross-layer resource allocation in wireless multi-hop networks with outdated channel state information[J]. Frontiers of Information Technology & Electronic Engineering, 2014, 15(5): 337-350.
无线多跳网络中考虑过时信道状态信息的跨层资源分配[J]. 信息与电子工程前沿(英文), 2014,15(5):337-350. DOI: 10.1631/jzus.C1300315.
Wei FENG, Sui-li FENG, Yue-hua DING, et al. Cross-layer resource allocation in wireless multi-hop networks with outdated channel state information[J]. Frontiers of Information Technology & Electronic Engineering, 2014, 15(5): 337-350. DOI: 10.1631/jzus.C1300315.
研究目的
2
针对无线多跳环境,考虑信道状态信息时效性,进行系统性能分析或动态资源优化算法设计,目前尚无文献述及。在实际环境中,因节点的信道状态信息或要通过多于一跳的传输从而反馈到基站或其它节点,反馈延时的影响往往在多跳网络环境中占主导地位。因此,对于无线多跳网络,有必要设计一个分布式的、考虑信道状态信息时效性的算法,以提高资源分配的准确性。
创新要点
2
在信道存在相关性的前提下,基于瑞利衰落信道模型,利用瞬时信道状态信息和过时信道状态信息之间的条件概率密度函数,求得该条件下基于SINR模型的平均容量闭式解,研究了信道状态信息过时对联合信道分配、功率分配、拥塞控制的影响,通过考虑过时信道状态信息补偿了部分性能损失。
方法提亮
2
首次利用条件概率密度分布求得基于SINR模型的平均容量闭式解,并将这一方法运用到动态无线多跳网络资源分配,得到一个考虑过时信道状态信息的分布式资源分配方法。
重要结论
2
本文首次在动态无线多跳网络中考虑了过时CSI对跨层资源分配带来的影响,首次得到考虑过时CSI下的平均容量闭式解,并提出一种考虑过时CSI影响的联合拥塞控制、信道分配和功率控制的分布式算法。相比于集中式优化算法,分布式算法具有较低的计算复杂度,能够改进网络资源分配的合理性,提高网络总体效用,降低能耗。
The cross-layer resource allocation problem in wireless multi-hop networks (WMHNs) has been extensively studied in the past few years. Most of these studies assume that every node has the perfect channel state information (CSI) of other nodes. In practical settings
however
the networks are generally dynamic and CSI usually becomes outdated when it is used
due to the time-variant channel and feedback delay. To deal with this issue
we study the cross-layer resource allocation problem in dynamic WMHNs with outdated CSI under channel conditions where there is correlation between the outdated CSI and current CSI. Two major contributions are made in this work: (1) a closed-form expression of conditional average capacity is derived under the signal-to-interferenceplus-noise ratio (SINR) model; (2) a joint optimization problem of congestion control
power control
and channel allocation in the context of outdated CSI is formulated and solved in both centralized and distributed manners. Simulation results show that the network utility can be improved significantly using our proposed algorithm.
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