信道不确定中继辅助D2D通信的联合功率分配与中继选择

Uyoata Uyoata, M. Dlodlo
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引用次数: 7

摘要

设备到设备(D2D)通信利用移动设备之间的接近性来实现直接通信。这样做的好处包括更少的能量消耗,跳增益,减少基站的负载等。对于D2D设备之间的通道不允许有效的直接通信的实例,适当选择的空闲移动设备可以充当中继来转发预期的信号。当中继移动设备处于运动状态时,可能会产生信道不确定性,从而在发送端和接收端对构成信道估计误差,影响中继选择过程。近年来,匹配理论作为无线通信系统资源分配的一种方法得到了广泛的研究。本文考虑了联合功率分配和中继选择,重点比较了匈牙利分配(HA)方法和稳定匹配(SM)方法两种匹配理论方案。在此工作中考虑了多个D2D用户对的全双工通信。将继电选择问题分解为功率分配和实际继电选择两个优化问题。我们将继电器选择问题表述为一个一对一的加权二部匹配问题。HA和SM方法都通过降低总发射功率而优于随机选择。虽然HA算法和SM算法的性能基本相似,但在信道不确定性误差方面,HA算法比SM算法对误差的鲁棒性更强。
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Joint power allocation and relay selection for relay assisted D2D communication with channel uncertainties
Device to device(D2D) communication exploits the proximity between mobile devices to allow direct communication. Doing so offers advantages which include less energy consumption, hop gain, reduced load on the base station among others. For instances where the channel between the D2D devices does not allow for efficient direct communication, a suitably selected idle mobile device can act as a relay to forward intended signals. When the relaying mobile is in motion, channel uncertainties may arise and so constitute channel estimation errors at the transmitter and receiver pairs affecting the relay selection process. Recently matching theory has been studied as an approach for allocating resources in wireless communication system. In this paper joint power allocation and relay selection is considered with focus on comparing two matching theory schemes namely the Hungarian assignment(HA) approach and the stable matching(SM)approach. Full duplex communication with multiple D2D user pairs are considered in this work. The relay selection problem is formulated as an optimization problem which is decomposed into power allocation and actual relay selection. We formulate the relay selection problem as a one to one weighted bipartite matching. Both HA and SM approaches outperform random selection by offering reduced total transmit power. Whereas the performance of HA and SM are mostly similar, with respect to channel uncertainty errors the HA algorithm is more robust against errors than SM.
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