论文标题
5G mmwave网络中的混合波束形成：全栈视角
Hybrid Beamforming in 5G mmWave Networks: a Full-stack Perspective
论文作者
论文摘要
本文研究了具有全堆栈TCP/IP流量和MAC调度的5G毫米波（MMWave）蜂窝网络中混合波束形成（HBF）和多用户多输入多输出（MU-MIMO）的跨层挑战和性能。虽然先前对HBF和MU-MIMO的研究重点是对全缓冲器传输的链接级分析，但这项工作揭示了HBF技术与协议堆栈的较高层之间的相互作用。为此，通过包括MU-MIMO和HBF的建模，可以扩展有关MMWave蜂窝网络的完整堆栈模拟的先前工作。我们的结果揭示了网络层与物理层中HBF MU-MIMO性能之间的新颖关系。特别是，通过空间分裂多重访问（SDMA），可以在5G网络中增加吞吐量。但是，为了获得这种收益，有必要考虑到某些权衡以及全栈HBF解决方案的实施复杂性。
This paper studies the cross-layer challenges and performance of Hybrid Beamforming (HBF) and Multi-User Multiple-Input Multiple-Output (MU-MIMO) in 5G millimeter wave (mmWave) cellular networks with full-stack TCP/IP traffic and MAC scheduling. While previous research on HBF and MU-MIMO has focused on link-level analysis of full-buffer transmissions, this work reveals the interplay between HBF techniques and the higher layers of the protocol stack. To this aim, prior work on full stack simulation of mmWave cellular network has been extended by including the modeling of MU-MIMO and HBF. Our results reveal novel relations between the networking layers and the HBF MU-MIMO performance in the physical layer. Particularly, throughput can be increased in 5G networks by means of Spatial Division Multiple Access (SDMA). However, in order to achieve such benefits it is necessary to take into account certain trade-offs and the implementation complexity of a full-stack HBF solution.
