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Dynamic and Traffic-Aware Medium Access Control Mechanisms for Wireless NoC Architectures
Nanjing Univ, Sch Elect Sci & Engn, Nanjing 210023, Jiangsu, Peoples R China..
Nanjing Univ, Sch Elect Sci & Engn, Nanjing 210023, Jiangsu, Peoples R China..
KTH, School of Electrical Engineering and Computer Science (EECS), Electrical Engineering, Electronics and Embedded systems, Electronic and embedded systems.ORCID iD: 0000-0003-0061-3475
Nanjing Univ, Sch Elect Sci & Engn, Nanjing 210023, Jiangsu, Peoples R China..
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2021 (English)In: 2021 Ieee International Symposium On Circuits And Systems (ISCAS), IEEE , 2021Conference paper, Published paper (Refereed)
Abstract [en]

Wireless NoC (WiNoC) has low latency and simple wiring, which can reduce the energy consumption caused by the metal interconnection in traditional NoC architectures. However, traditional time division based media access control (MAC) mechanism in WiNoC is not aware of different wireless interfaces' (WIs) traffic demands, resulting in an unreasonable distribution of wireless communication channels and degradation in performance. Hence, in order to dynamically allocate wireless channels to the WIs based on their traffic demands, a dynamic and traffic-aware MAC mechanism is required. In this paper, we design a traffic demand predictor for each WI based on its current and history traffic conditions. According to the predicted demands, we are able to allocate access to wireless channels dynamically and switch between two kinds of time division based MAC mechanisms. Simulations under various conditions indicate that the average delay decreases by 30% and 20% on average compared with a traditional MAC mechanism and an existing dynamic time division based one, respectively. Moreover, the network with the dynamic and traffic-aware MAC enters the saturation point at a higher packet injection rate.

Place, publisher, year, edition, pages
IEEE , 2021.
Series
IEEE International Symposium on Circuits and Systems, ISSN 0271-4302
Keywords [en]
Wireless NoC, MAC mechanism, Traffic prediction, TDMA, Exponential Smoothing
National Category
Telecommunications
Identifiers
URN: urn:nbn:se:kth:diva-303774DOI: 10.1109/ISCAS51556.2021.9401309ISI: 000696765400254Scopus ID: 2-s2.0-85109042952OAI: oai:DiVA.org:kth-303774DiVA, id: diva2:1605358
Conference
IEEE International Symposium on Circuits and Systems (IEEE ISCAS), MAY 22-28, 2021, Daegu, SOUTH KOREA
Note

Part of proceedings: ISBN 978-1-7281-9201-7, QC 20230117

Available from: 2021-10-22 Created: 2021-10-22 Last updated: 2023-01-17Bibliographically approved

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Lu, Zhonghai

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