Optimal Base Station Deployment with Downlink Rate Coverage Probability Constraint

被引：14
|
作者：
Chatterjee, Shubhajeet [1 ]
Ahdel-Rahman, Mohammad J. [2 ]
MacKenzie, Allen B. [1 ]
机构：
[1] Virginia Tech, Dept Elect & Comp Engn, Blacksburg, VA 24061 USA
[2] Al Hussein Tech Univ, Dept Elect Engn, Amman 11821, Jordan
来源：
IEEE WIRELESS COMMUNICATIONS LETTERS | 2018年 / 7卷 / 03期
关键词：
Rate coverage probability; BS deployment; Poisson point process; chance-constrained stochastic programming;
D O I：
10.1109/LWC.2017.2776929
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The uncertainty in user locations and channel conditions makes the deployment and performance analysis of wireless networks challenging. Stochastic geometry has emerged as a powerful tool for analyzing the performance of wireless networks, assuming certain stochastic models for the distribution of both users and base stations (BSs). In this letter, seeking further precision, we derive the downlink rate coverage probability of a wireless network with deterministically known BS locations. Then, we use this result to optimize the placement of BSs while keeping the downlink rate coverage probability above a certain threshold.
引用
收藏
页码：340 / 343
页数：4
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