Cross layer interference mitigation using a convergent two-stage game for ad hoc networks
Cross layer interference mitigation using a convergent two-stage game for ad hoc networks
复制标题
使用自组织网络的融合两阶段博弈减轻跨层干扰
DOI：
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发表时间：
2008
期刊：
影响因子：
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通讯作者：
U. Tureli
中科院分区：
文献类型：
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作者：
E. Zeydan;D. Kivanc;U. Tureli
在本文中，我们集中在一个两阶段的游戏，即联合波束形成和信道分配在ad hoc网络的收敛问题。最大化的接收信号与干扰加噪声（SINR）比在两个通信节点之间的恒定发射功率被认为是。提出了一种收敛的顺序无失真波束形成（SDRB）和协作信道分配（CCA）算法，我们称之为SDRB_CCA，以减轻网络中的干扰。该算法在物理层采用次优波束形成算法，在MAC层根据潜在博弈的定义，以迭代的方式分配协作（或非贪婪）信道。每个信道选择的收益包括在每个节点处接收到的干扰以及该选择将对其他节点造成的干扰。仿真结果支持我们的分析结果的意义上，SDRB_CCA收敛的平均速率下降的代价相比，最佳的联合迭代波束成形和贪婪信道分配（O_JIBGCA）算法，特别是在过载的情况下。
In this paper, we concentrate on convergence issues of a two stage game namely on joint beamforming and channel allocation in an ad hoc network. Maximization of the received signal-to-interference-plus-noise (SINR) ratios between two communicating nodes under constant transmit power is considered. We propose a convergent sequential distortionless beamforming (SDRB) and cooperative channel allocation (CCA) algorithm which we call as SDRB_CCA, to mitigate the interference in the network. In this algorithm, a suboptimum beamforming algorithm is performed in PHY layer and a cooperative (or non-greedy) channel allocation is assigned based on the definition of potential games in MAC layer in an iterative manner. The payoff of each channel selection includes the interference received at each node as well as the interference that this selection will cause on the other nodes. Simulation results supported our analytical results in the sense that SDRB_CCA converges at the expense of decrease in average rate compared to the optimum joint iterative beamforming and greedy channel allocation (O_JIBGCA) algorithm especially in over-loaded scenarios.