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Performance Analysis of Cooperative Communication in Decentralized Wireless Networks With Unsaturated Traffic

机译:非饱和流量分散无线网络中协作通信的性能分析

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In this paper, we investigate the performance of cooperative communication in decentralized wireless networks under unsaturated traffic conditions with randomly positioned single-hop source-destination pairs and relays, where interference is the main performance-limiting factor. The traffic unsaturation and concurrent cooperative transmissions introduce a correlation between the interferer density and the packet retransmission probability, and a correlation of interference power in both space and time domains, which complicate the interference characterization. Based on queueing theory and stochastic geometry, the stationary interferer density is derived by solving a fixed-point equation, which is proved to have a unique solution. According to the relay selection scheme, we characterize the correlation of interference power in two consecutive time-slots by identifying the densities of source and relay retransmissions. Based on the interferer density and interference correlation, we derive the outage probability and average packet delay of the cooperative scheme, while taking into account the dynamic traffic arrivals, interference correlation, relay selection scheme, and spatial node distribution. The performance analysis is validated by extensive simulations. The analytical results provide useful insights on cooperative communication in large-scale networks.
机译:在本文中,我们研究了分散无线网络在不饱和流量条件下,随机放置的单跳源-目标对和中继的协作通信的性能,其中干扰是主要的性能限制因素。业务量不饱和和同时进行的协作传输会在干扰源密度和数据包重传概率之间引入相关性,并在时域和时域中引入干扰功率的相关性,从而使干扰的特性变得复杂。基于排队论和随机几何,通过求解一个定点方程来推导平稳的干扰源密度,这被证明具有唯一的解决方案。根据中继选择方案,我们通过识别源和中继重传的密度来表征两个连续时隙中干扰功率的相关性。基于干扰源密度和干扰相关性,我们在考虑动态业务到达,干扰相关性,中继选择方案和空间节点分布的基础上,得出了协作方案的中断概率和平均分组延迟。性能分析已通过广泛的仿真验证。分析结果为大规模网络中的协作通信提供了有用的见解。

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