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Secrecy-oriented partner selection based on social trust in device-to-device communications

机译:设备间通信中基于社会信任的保密合作伙伴选择

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Device-to-device (D2D) communications recently have attracted broad attention owing to its potential ability to improve spectrum and energy efficiency within the existing cellular infrastructure. Lacking sophisticated control, D2D user equipments (DUEs) themselves are not powerful enough to resist eavesdropping or fight against security attacks. This work investigates selection of jamming partners for D2D users to thwart reception by social outcasts in D2D overlay, by exploiting social relationship to improve secrecy rate. We aim to maximize the secrecy rate of worst case, eavesdropping by any outcast, through selecting jammer node while allocating transmit power for both source and jammer. We present a heuristic genetic algorithm based solution to evaluate the problem directly. In addition, we also propose approximated optimization solutions by considering power allocation of upper and lower bounds to simplify the problem, by leveraging the fractional programming (GFP) oriented Dinkelbach-type algorithm. Numerical results show that the proposed schemes can achieve better performance through finding an appropriate partner.
机译:设备到设备(D2D)通信由于其在现有蜂窝基础设施中改善频谱和能源效率的潜在能力,最近引起了广泛的关注。由于缺乏复杂的控制,D2D用户设备(DUE)本身的功能不足以抵抗窃听或对抗安全攻击。这项工作通过利用社交关系来提高保密率,调查了D2D用户选择干扰伙伴以阻止D2D覆盖中的社交流浪者的接收。我们的目标是通过选择干扰节点,同时为源和干扰分配发射功率,以最大限度地提高最坏情况的保密率,无论被任何流亡者窃听。我们提出了一种基于启发式遗传算法的解决方案来直接评估问题。此外,我们还通过考虑面向分数编程(GFP)的Dinkelbach型算法,通过考虑上下限的功率分配来简化问题,从而提出了近似的优化解决方案。数值结果表明,所提出的方案可以通过找到合适的伙伴来实现更好的性能。

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