Uncoordinated Massive Wireless Networks: Spatiotemporal Models and Multiaccess Strategies

Giovanni Chisci, Hesham Elsawy, Andrea Conti, Mohamed-Slim Alouini, Moe Z. Win

Research output: Contribution to journalArticlepeer-review

16 Scopus citations

Abstract

The massive wireless networks (MWNs) enable surging applications for the Internet of Things and cyber physical systems. In these applications, nodes typically exhibit stringent power constraints, limited computing capabilities, and sporadic traffic patterns. This paper develops a spatiotemporal model to characterize and design uncoordinated multiple access (UMA) strategies for MWNs. By combining stochastic geometry and queueing theory, the paper quantifies the scalability of UMA via the maximum spatiotemporal traffic density that can be accommodated in the network, while satisfying the target operational constraints (e.g., stability) for a given percentile of the nodes. The developed framework is then used to design UMA strategies that stabilize the node data buffers and achieve desirable latency, buffer size, and data rate.
Original languageEnglish (US)
Pages (from-to)918-931
Number of pages14
JournalIEEE/ACM Transactions on Networking
Volume27
Issue number3
DOIs
StatePublished - Jun 2019

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