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Multi-channel medium access control protocols for wireless networks within computing packages

Authors :
Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors
Universitat Politècnica de Catalunya. Departament d'Enginyeria Electrònica
Universitat Politècnica de Catalunya. IDEAI-UPC - Intelligent Data sciEnce and Artificial Intelligence Research Group
Ollé Ferrayuoli, Bernat
Talarn Bell-lloch, Pau
Cabellos Aparicio, Alberto
Lemic, Filip
Alarcón Cot, Eduardo José
Abadal Cavallé, Sergi
Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors
Universitat Politècnica de Catalunya. Departament d'Enginyeria Electrònica
Universitat Politècnica de Catalunya. IDEAI-UPC - Intelligent Data sciEnce and Artificial Intelligence Research Group
Ollé Ferrayuoli, Bernat
Talarn Bell-lloch, Pau
Cabellos Aparicio, Alberto
Lemic, Filip
Alarcón Cot, Eduardo José
Abadal Cavallé, Sergi
Publication Year :
2023

Abstract

Wireless communications at the chip scale emerge as a interesting complement to traditional wire-based approaches thanks to their low latency, inherent broadcast nature, and capacity to bypass pin constraints. However, as current trends push towards massive and bandwidth-hungry processor architectures, there is a need for wireless chip-scale networks that exploit and share as many channels as possible. In this context, this work addresses the issue of channel sharing by exploring the design space of multi-channel Medium Access Control (MAC) protocols for chip-scale networks. Distinct channel assignment strategies for both random access and token passing are presented and evaluated under realistic traffic patterns. It is shown that, even with the improvements enabled by the multiple channels, both protocols maintain their intrinsic advantages and disadvantages.<br />This work is supported by the European Commission under H2020 grant WiPLASH (GA 863337) and HE grant WINC (GA 101042080).<br />Peer Reviewed<br />Postprint (author's final draft)

Details

Database :
OAIster
Notes :
5 p., application/pdf, English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1409474750
Document Type :
Electronic Resource