蜂窝网络中D2D中继的激励机制与中继选择

P. Mach, Zdenek Becvar, T. Spyropoulos
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引用次数: 5

摘要

如果蜂窝边缘用户(cue)利用设备对设备(D2D)通信通过适当的中继ue (rue)传输数据,则可以提高其性能。整个接力概念的关键方面是为规则提供方便的激励,以激励他们充当接力者。本文的贡献是双重的。首先,我们提出了一种新的规则激励机制,可以利用分配给CUE的一定数量的资源。根据用户的喜好,cue / rue可以从继电保护中获益,包括增强容量、减少能耗或两者兼而有之。在这方面,我们详细分析了继电器如何以及何时对双方都有利。其次,我们提出了一种低复杂度贪婪中继选择算法,该算法结合了激励机制,与最先进的方案相比,该算法可将容量提高32.1%,并/或减少能耗高达36.1%。此外,我们证明了贪婪方法给出了接近最优的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Incentive Mechanism and Relay Selection for D2D Relaying in Cellular Networks
The performance of the cell edge users (CUEs) can be improved if they transmit their data via suitable relay UEs (RUEs) exploiting device-to- device (D2D) communication. The critical aspect of the whole relaying concept is to offer convenient incentives for the RUEs to motivate them to act as relays. The contribution of this paper is twofold. First, we propose a new incentive mechanism for the RUEs that can exploit certain amount of resources allocated to the CUE. Depending on the preferences of users, the CUEs/RUEs can benefit from relaying in terms of capacity enhancement, reduction of energy consumption or both. In this respect, we provide a detailed analysis on how and when relaying is of benefit for both sides. Second, we propose a low-complexity greedy relay selection algorithm incorporating the incentive mechanism that increases capacity up to 32.1% and/or reduces energy consumption by up to 36.1% when compared to state-of-the-art schemes. Moreover, we show that the greedy approach gives close-to-optimal performance.
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