Stochastic Geometric Coverage Analysis in mmWave Cellular Networks with a Realistic Channel Model

被引：0

作者：

Rebato, Mattia ^{[1
]}

Park, Jihong ^{[2
]}

Popovski, Petar ^{[2
]}

De Carvalho, Elisabeth ^{[2
]}

Zorzi, Michele ^{[1
]}

机构：

[1] Univ Padua, Padua, Italy

[2] Aalborg Univ, Aalborg, Denmark

来源：

GLOBECOM 2017 - 2017 IEEE GLOBAL COMMUNICATIONS CONFERENCE | 2017年

关键词：

Millimeter-wave; channel models; large-scale networks; stochastic geometry; performance analysis; FEASIBILITY;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Millimeter-wave (mmWave) bands have been attracting growing attention as a possible candidate for next-generation cellular networks, since the available spectrum is orders of magnitude larger than in current cellular allocations. To precisely design mmWave systems, it is important to examine mmWave interference and SIR coverage under large-scale deployments. For this purpose, we apply an accurate mmWave channel model, derived from experiments, into an analytical framework based on stochastic geometry. In this way we obtain an analytical expression for the SIR coverage probability in mmWave cellular networks.

引用

页数：6

共 16 条

[1] Millimeter Wave Channel Modeling and Cellular Capacity Evaluation [J].