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

Yan Zhang; Hongguang Sun; Yao He; Zekun Zhang; Xijun Wang; Tony Q.S. Quek

doi:10.1109/LWC.2022.3219641

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

Yan Zhang, Hongguang Sun, Yao He, Zekun Zhang, Xijun Wang, Tony Q.S. Quek

Department of Computer Science and Information Engineering

Research output: Contribution to journal › Article › peer-review

3 Citations (Scopus)

Abstract

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.

Original language	English
Pages (from-to)	153-157
Number of pages	5
Journal	IEEE Wireless Communications Letters
Volume	12
Issue number	1
DOIs	https://doi.org/10.1109/LWC.2022.3219641
Publication status	Published - 2023 Jan 1

All Science Journal Classification (ASJC) codes

Control and Systems Engineering
Electrical and Electronic Engineering

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10.1109/LWC.2022.3219641

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abstract = "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.",

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AU - Wang, Xijun

AU - Quek, Tony Q.S.

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AB - 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.

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

Abstract

All Science Journal Classification (ASJC) codes

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