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Interference immune multi-hop relaying and efficient relay selection algorithm for arbitrarily large half-duplex Gaussian wireless networks

机译:任意大半双工高斯无线网络的干扰免疫多跳中继和高效中继选择算法

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It has been a challenge to develop efficient algorithms for relay selection and relay power optimization in arbitrarily large multi-hop wireless networks. In this paper, considering Gaussian networks with half-duplex decode-and-forward relays, we develop a practical network-wide signal processing procedure with which the relay's data rate is not degraded by mutual interference. Multi-hop relaying is thus immune to mutual interference. Then, we develop an algorithm to find approximately the optimal hop count and the optimal relays for source-destination transmission rate maximization. With a quadratic complexity O(N), where N is the network size, this algorithm is efficient for arbitrarily large wireless networks. More interestingly, this algorithm is similar to the well-known Dijkstra's algorithm of wired networks.
机译:在任意大型的多跳无线网络中开发用于中继选择和中继功率优化的有效算法一直是一个挑战。在本文中,考虑到具有半双工解码转发中继的高斯网络,我们开发了一种实用的全网信号处理程序,通过该程序,中继的数据速率不会因相互干扰而降低。因此,多跳中继不受相互干扰的影响。然后,我们开发一种算法,以找到近似的最佳跳数和最佳中继,以实现源-目标传输速率最大化。对于二次复杂度O(N),其中N是网络大小,此算法对于任意大的无线网络都是有效的。更有趣的是,该算法与著名的有线网络Dijkstra算法相似。

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