Throughput optimal beam alignment in millimeter wave networks
Throughput optimal beam alignment in millimeter wave networks
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DOI：
10.1109/ita.2017.8023460
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发表时间：
2017-02
期刊：
影响因子：
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通讯作者：
Muddassar Hussain;Nicolò Michelusi
中科院分区：
文献类型：
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作者：
Muddassar Hussain;Nicolò Michelusi
毫米波通信依靠窄波束传输来应对这些频率下的强信号衰减，因此要求发射器和接收器之间的精确波束对准。实现波束对准所产生的通信开销可能会严重损害移动网络。本文解决了优化光束对准采集的问题，目标是最大化吞吐量。具体而言，该算法使用马尔可夫决策过程的框架共同确定用于波束对准获取的时间部分，以及在这部分时间内的最佳波束搜索参数。事实证明，二分搜索算法是最优的，并且它优于文献中提出的穷举和迭代搜索算法。光束对准阶段的持续时间被优化，以最大化总体吞吐量。数值结果表明，针对光束对准阶段的持续时间进行优化后，穷举算法下可实现的吞吐量比二分算法下可实现的吞吐量低 88.3%。类似地，对于除法因子为4和8的迭代搜索算法可实现的吞吐量分别比二分算法可实现的吞吐量低12.8%和36.4%。
Millimeter wave communications rely on narrow-beam transmissions to cope with the strong signal attenuation at these frequencies, thus demanding precise beam alignment between transmitter and receiver. The communication overhead incurred to achieve beam alignment may become a severe impairment in mobile networks. This paper addresses the problem of optimizing beam alignment acquisition, with the goal of maximizing throughput. Specifically, the algorithm jointly determines the portion of time devoted to beam alignment acquisition, as well as, within this portion of time, the optimal beam search parameters, using the framework of Markov decision processes. It is proved that a bisection search algorithm is optimal, and that it outperforms exhaustive and iterative search algorithms proposed in the literature. The duration of the beam alignment phase is optimized so as to maximize the overall throughput. The numerical results show that the throughput, optimized with respect to the duration of the beam alignment phase, achievable under the exhaustive algorithm is 88.3% lower than that achievable under the bisection algorithm. Similarly, the throughput achievable by the iterative search algorithm for a division factor of 4 and 8 is, respectively, 12.8% and 36.4% lower than that achievable by the bisection algorithm.