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Resource Allocation and Routing in MIMO-WPM Cognitive Radio Ad-Hoc Networks

机译:MIMO-WPM认知无线电Ad-Hoc网络中的资源分配和路由

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In this paper, we reconsider the resource allocation and routing problem in multi-hop Multiple-Input Multiple-Output (MIMO) Wavelet Packet Modulation (WPM) Cognitive Radio (CR) ad-hoc networks. We comply with four principles to design our resource allocation scheme with the goal to maximize the capacity of entire network. First, Primary Users (PUs) have higher priority to access to the subcarrier in private bands, while PUs and Secondary Users (SUs) have the equal opportunity in public bands. Second, the MIMO channel of each link on each subcarrier in each time slot is decomposed by Block Diagonal Geometric Mean Decomposition (BD-GMD) into multiple sub-channels with identical gains. In addition, the sub-channel gain of one link is determined by all other links sharing the same source node on the same subcarrier in the same time slot. Third, PUs have the privilege of higher signal to interference and noise ratio (SINR) threshold for the successful decoding in private bands, but PUs and SUs have the same SINR threshold in public bands. Fourth, the interference caused by one link to all other links having the same destination node should be avoided, moreover, the power of all other links is not assumed to be known but also need to be allocated at the same time. Based on our proposed resource allocation scheme, we investigate a multicast routing strategy that aims to maximize network throughput. Numerical results demonstrate that our proposed resource allocation and routing scheme can noticeably improve network throughput.
机译:在本文中,我们重新考虑了多跳多输入多输出(MIMO)小波包调制(WPM)认知无线电(CR)自组织网络中的资源分配和路由问题。我们遵循四个原则来设计资源分配方案,以最大程度地提高整个网络的容量为目标。首先,主要用户(PU)在私有频带中具有较高的优先级访问子载波,而PU和次要用户(SU)在公共频带中具有平等的机会。其次,通过块对角几何均值分解(BD-GMD)将每个时隙中每个子载波上每个链路的MIMO信道分解为具有相同增益的多个子信道。另外,一个链路的子信道增益由在相同时隙中在相同子载波上共享相同源节点的所有其他链路确定。第三,PU具有较高的信干噪比(SINR)阈值以在私有频带中成功解码,但是PU和SU在公共频带中具有相同的SINR阈值。第四,应避免由一个链路对具有相同目的节点的所有其他链路造成的干扰,此外,假定所有其他链路的功率都不是已知的,而是需要同时分配。基于我们提出的资源分配方案,我们研究了旨在最大化网络吞吐量的多播路由策略。数值结果表明,我们提出的资源分配和路由方案可以显着提高网络吞吐量。

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