A Spatio-Temporal Analytical Model for Statistical Priority-Based Multiple Access Network

被引：1

作者：

Zhang, Yan ^{[1
]}

Sun, Hongguang ^{[2
]}

He, Yao ^{[3
]}

Zhang, Zekun ^{[1
]}

Wang, Xijun ^{[4
]}

Quek, Tony Q. S. ^{[5
]}

机构：

[1] Xidian Univ, State Key Lab Integrated Serv Networks, Xian 710071, Peoples R China

[2] Northwest A&F Univ, Coll Informat Engn, Yangling 712100, Peoples R China

[3] Southwest China Res Inst Elect Equipment, Chengdu 610036, Peoples R China

[4] Sun Yat sen Univ, Sch Elect & Informat Technol, Guangzhou 510006, Peoples R China

[5] Singapore Univ Technol & Design, Informat Syst Technol & Design Pillar, Singapore 487372, Singapore

来源：

IEEE WIRELESS COMMUNICATIONS LETTERS | 2023年 / 12卷 / 01期

基金：

中国国家自然科学基金;

关键词：

Queueing analysis; Time-frequency analysis; Steady-state; Servers; Geometry; Receivers; Wireless sensor networks; SPMA; spatio-temporal model; vacation queues; stochastic geometry; success probability;

D O I：

10.1109/LWC.2022.3219641

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this letter, we propose a spatio-temporal analytical framework to comprehensively assess the performance of a statistical priority-based multiple access (SPMA) network. By combining tools from stochastic geometry with queueing theory, we characterize both the macroscopic interference distribution of the spatially interacting priority queues, and the microscopic temporal evolution of each priority queue. The proposed analytical framework allows to derive the analytical expressions of burst success probability, medium access probability (MAP), and packet success probability, and evaluate the impacts of key system parameters on a stable SPMA network. The advantage of SPMA is further highlighted by compared with the traditional CSMA scheme.

引用

页码：153 / 157

页数：5

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