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Cross-layer Throughput Optimization in Slow Fading Wireless Channel

机译:慢衰落无线信道中的跨层吞吐量优化

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In this paper the optimizing cross-layer algorithm is presented which minimizes long-term average packet dropping subject to an average transmission power of single user wireless channel. The optimization problem is defined as Markov decision process (MDP) and the composite state space of the communication system with transition matrices of probabilities is determined. The structure of the obtained optimal policies for Rayleigh and independent and identically distributed (i.i.d.) fading channel is taken into consideration. Simulation results confirm that the proposed cross-layer algorithm provides adaptation of network parameters and makes it possible for satisfying QoS in a wide range according to application demands.
机译:在本文中,提出了一种优化的跨层算法,该算法在受单用户无线信道的平均传输功率影响最大的情况下,将长期平均丢包率降至最低。将优化问题定义为马尔可夫决策过程(MDP),并确定具有概率转移矩阵的通信系统的复合状态空间。考虑所获得的用于瑞利和独立且均匀分布的(i.i.d.)衰落信道的最优策略的结构。仿真结果表明,所提出的跨层算法可以适应网络参数,并可以根据应用需求在较大范围内满足QoS。

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