Self-Organized Relay Selection for Cooperative Transmission in Vehicular Ad-Hoc Networks
Self-Organized Relay Selection for Cooperative Transmission in Vehicular Ad-Hoc Networks
复制标题
车载自组织网络中协作传输的自组织中继选择
DOI：
10.1109/tvt.2017.2715328
复制
发表时间：
2017-10-01
影响因子：
6.8
通讯作者：
Leung, Victor C. M.
中科院分区：
文献类型：
--
作者：
Tian, Daxin;Zhou, Jianshan;Leung, Victor C. M.
协作是提高车载自组织网络空间多样性的一种有效方法。在本文中，我们提出了一个基本的问题：如何贪婪和自私的个人节点的影响合作动态车载自组织网络。我们映射的自我利益驱动的中继选择决策问题的自动机博弈公式，并提出了一个非合作博弈论分析。我们证明了中继选择博弈是一个序数势博弈。基于随机学习方法，提出了一种分散的自组织中继选择算法，其中每个参与者都向纳什意义下的策略均衡状态进化。此外，我们还研究了多中继解码转发协作通信网络的精确中断行为。封闭形式的解决方案推导出的实际中断概率的多中继系统在独立和同分布的信道和广义信道，不需要假设一个渐近的或高的信噪比。两个紧密的近似与低计算复杂度的中断概率的下限也开发。利用精确的闭形式中断概率，我们进一步开发了一个优化模型来确定协作网络中的最优功率分配，该模型可以与基于分散学习的中继选择相结合。理论分析和数值计算验证了算法的精确和近似中断行为以及向纳什均衡状态的收敛性。仿真结果也表明，所提出的算法诱导的合作网络实现了高能量效率，传输可靠性，和全网的公平性性能。
Cooperation is a promising paradigm to improve spatial diversity in vehicular ad-hoc networks. In this paper, we pose a fundamental question: How the greediness and selfishness of individual nodes impact cooperation dynamics in vehicular ad-hoc networks. We map the self-interest-driven relay selection decision-making problem to an automata game formulation and present a noncooperative game-theoretic analysis. We show that the relay selection game is an ordinal potential game. A decentralized self-organized relay selection algorithm is proposed based on a stochastic learning approach where each player evolves toward a strategic equilibrium state in the sense of Nash. Furthermore, we study the exact outage behavior of the multirelay decode-and-forward cooperative communication network. Closed-form solutions are derived for the actual outage probability of this multirelay system in both independent and identically distributed channels and generalized channels, which need not assume an asymptotic or high signal-to-noise ratio. Two tight approximations with low computational complexity are also developed for the lower bound of the outage probability. With the exact closed-form outage probability, we further develop an optimization model to determine optimal power allocations in the cooperative network, which can be combined with the decentralized learning-based relay selection. The analysis of the exact and approximative outage behaviors and the convergence properties of the proposed algorithm toward a Nash equilibrium state are verified theoretically and numerically. Simulation results are also given to demonstrate that the resulting cooperative network induced by the proposed algorithm achieves high energy efficiency, transmission reliability, and network-wide fairness performance.