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Device-to-Device Communications: A Performance Analysis in the Context of Social Comparison-Based Relaying

机译:设备间通信:基于社会比较的中继环境下的性能分析

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Device-to-device (D2D) communications are recognized as a key enabler of future cellular networks, which will help to drive improvements in spectral efficiency and assist with the offload of network traffic. Relay-assisted D2D communications will be essential when there is an extended distance between the source and the destination or when the transmit power is constrained below a certain level. Although a number of works on relay-assisted D2D communications have been presented in the literature, most of those assume that relay nodes cooperate unequivocally. In reality, this cannot be assumed, since there is little incentive to cooperate without a guarantee of future reciprocal behavior. To incorporate the social behavior of D2D nodes, we consider the decision to relay using the donation game based on social comparison, characterize the probability of cooperation in an evolutionary context and then evaluate the network performance of relay-assisted D2D communications. Through numerical evaluations, we investigate the performance gap between the ideal case of 100% cooperation and practical scenarios with a lower cooperation probability. It shows that practical scenarios achieve lower transmission capacity and higher outage probability than idealistic network views, which assume full cooperation. After a sufficient number of generations, however, the cooperation probability follows the natural rules of evolution and the transmission performance of practical scenarios approach that of the full cooperation case, indicating that all D2D relay nodes adapt the same dominant cooperative strategy based on social comparison, without the need for external enforcement.
机译:设备到设备(D2D)通信被公认为是未来蜂窝网络的关键推动力,这将有助于推动频谱效率的提高并帮助减轻网络流量。当源与目的地之间的距离过长或发射功率被限制在一定水平以下时,中继辅助的D2D通信将至关重要。尽管在文献中已经提出了许多有关中继辅助D2D通信的工作,但是大多数工作都假设中继节点是毫不含糊地合作的。实际上,这是不能假定的,因为在没有保证未来互惠行为的情况下,很少有合作动机。为了整合D2D节点的社交行为,我们考虑基于社交比较使用捐赠游戏进行中继的决定,在演化环境中表征合作的可能性,然后评估中继辅助D2D通信的网络性能。通过数值评估,我们研究了100%合作的理想情况与合作可能性较低的实际方案之间的性能差距。它表明,与完全协作的理想网络视图相比,实际方案具有更低的传输容量和更高的中断概率。然而,经过足够多的世代之后,合作概率遵循进化的自然法则,实际场景的传输性能接近完全合作案例的传输性能,这表明所有D2D中继节点基于社会比较都采用相同的主导合作策略,无需外部执行。

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