Modeling and Analysis of Point-to-Multipoint Millimeter Wave Backhaul Networks
Modeling and Analysis of Point-to-Multipoint Millimeter Wave Backhaul Networks
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DOI：
10.1109/twc.2018.2879109
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发表时间：
2019-01
影响因子：
10.4
通讯作者：
Jia Shi;Lu Lv;Q. Ni;H. Pervaiz;C. Paoloni
中科院分区：
文献类型：
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作者：
Jia Shi;Lu Lv;Q. Ni;H. Pervaiz;C. Paoloni
提出了一种易于处理的随机几何模型来描述具有毫米波能力的新型点对多点(P2MP)辅助回程网络的性能。研究了基于一般回程网络(GBN)和简化回程网络(SBN)模型的性能分析方法。为了分析回程网络的信干噪比(SINR)覆盖概率，推导了GBN和SBN模型的一系列精确表达式和闭合表达式。针对毫米波回程网络，以能量效率(EE)和区域频谱效率(ASE)最大为目标，提出了基于易处理模型的最优功率控制算法。对SINR覆盖概率的分析结果进行了验证，并与蒙特卡罗实验结果进行了比较。ASE性能的数值结果表明，与传统的点对点设置相比，我们的P2MP架构具有显著的有效性。此外，我们的P2MP毫米波回程网络能够实现比超高频网络高得多的速率性能。此外，为了实现EE和ASE的最佳折衷，毫米波回程网络的设计应该在优化发射功率的同时限制链路距离和视距干扰。
A tractable stochastic geometry model is proposed to characterize the performance of novel point-to-multipoint (P2MP) assisted backhaul networks with millimeter-wave (mm-wave) capability. The novel performance analysis is studied based on the general backhaul network (GBN) and the simplified backhaul network (SBN) models. To analyze the signal-to-interference-plus-noise ratio (SINR) coverage probability of the backhaul networks, a range of the exact- and closed-form expressions are derived for both the GBN and SBN models. With the aid of the tractable model, the optimal power control algorithm is proposed for maximizing the trade-off between energy-efficiency (EE) and area spectral-efficiency (ASE) for the mm-wave backhaul networks. The analytical results of the SINR coverage probability are validated, and they match those obtained from Monte-Carlo experiments. The numerical results of the ASE performance demonstrate the significant effectiveness of our P2MP architecture over the traditional point-to-point setup. Moreover, our P2MP mm-wave backhaul networks are able to achieve dramatically higher rate performance than that obtained by the ultra-high-frequency networks. Furthermore, to achieve optimal EE and ASE tradeoff, the mm-wave backhaul networks should be designed to limit the link distances and line-of-sight interferences while optimizing the transmission power.