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Joint optimization of relay strategies and resource allocations in cooperative cellular networks

机译:协作蜂窝网络中中继策略和资源分配的联合优化

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This paper considers a wireless cooperative cellular data network with a base station and many subscribers in which the subscribers have the ability to relay information for each other to improve the overall network performance. For a wireless network operating in a frequency-selective slow-fading environment, the choices of relay node, relay strategy, and the allocation of power and bandwidth for each user are important design parameters. The design challenge is compounded further by the need to take user traffic demands into consideration. This paper proposes a centralized utility maximization framework for such a network. We show that for a cellular system employing orthogonal frequency-division multiple-access (OFDMA), the optimization of physical-layer transmission strategies can be done efficiently by introducing a set of pricing variables as weighting factors. The proposed solution incorporates both user traffic demands and the physical channel realizations in a cross-layer design that not only allocates power and bandwidth optimally for each user, but also selects the best relay node and best relay strategy (i.e. decode-and-forward vs. amplify-and-forward) for each source-destination pair
机译:本文考虑了一个无线协作蜂窝数据网络,该网络具有一个基站和许多用户,其中用户可以相互中继信息以改善整体网络性能。对于在频率选择慢衰落环境中运行的无线网络,中继节点的选择,中继策略以及每个用户的功率和带宽分配是重要的设计参数。考虑到用户流量需求,使设计挑战进一步复杂化。本文提出了一种针对这种网络的集中式效用最大化框架。我们表明,对于采用正交频分多址(OFDMA)的蜂窝系统,可以通过引入一组定价变量作为加权因子来有效地完成物理层传输策略的优化。所提出的解决方案在跨层设计中结合了用户流量需求和物理信道实现,不仅可以为每个用户最佳地分配功率和带宽,还可以选择最佳的中继节点和最佳的中继策略(即解码转发与(放大并转发)每个源-目的地对

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