论文标题
自适应毫米波通信利用移动性和阻塞动力学
Adaptive Millimeter-Wave Communications Exploiting Mobility and Blockage Dynamics
论文作者
论文摘要
移动性可能会降低在毫米波频谱上运行的下一代车辆网络的性能：频繁的对齐方式损失和堵塞需要重复的光束训练和移交，从而产生了巨大的开销。在本文中，提出了梁训练，数据传输和移交的自适应和联合设计，该设计利用了移动用户的移动性过程以及障碍物的动态，以最佳的权衡吞吐量和功耗。在每个时间插槽中，服务基站决定在检测到阻塞时执行梁训练，数据通信或切换。该问题被视为可观察到的马尔可夫决策过程，并通过基于Perseus的近似动态编程算法解决[2]。数值结果表明，基于珀尔修斯的策略的表现非常优势，并且与周期性梁训练的基线方案相比，光谱效率的增长率为55％。受自适应启发式政策的启发，提出了计算复杂性低和较小的性能降解。
Mobility may degrade the performance of next-generation vehicular networks operating at the millimeter-wave spectrum: frequent loss of alignment and blockages require repeated beam training and handover, thus incurring huge overhead. In this paper, an adaptive and joint design of beam training, data transmission and handover is proposed, that exploits the mobility process of mobile users and the dynamics of blockages to optimally trade-off throughput and power consumption. At each time slot, the serving base station decides to perform either beam training, data communication, or handover when blockage is detected. The problem is cast as a partially observable Markov decision process, and solved via an approximate dynamic programming algorithm based on PERSEUS [2]. Numerical results show that the PERSEUS-based policy performs near-optimally, and achieves a 55% gain in spectral efficiency compared to a baseline scheme with periodic beam training. Inspired by its structure, an adaptive heuristic policy is proposed with low computational complexity and small performance degradation.
