Spectrum Slicing for Multiple Access Channels with Heterogeneous Services

Wireless mobile networks from the fifth generation (5G) and beyond serve as platforms for flexible support of heterogeneous traffic types with diverse performance requirements. In particular, the broadband services aim for the traditional rate optimization, while the time-sensitive services aim for...

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Main Authors: Federico Chiariotti, Israel Leyva-Mayorga, Čedomir Stefanović, Anders E. Kalør, Petar Popovski
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Entropy
Subjects:
Online Access:https://www.mdpi.com/1099-4300/23/6/686
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author Federico Chiariotti
Israel Leyva-Mayorga
Čedomir Stefanović
Anders E. Kalør
Petar Popovski
author_facet Federico Chiariotti
Israel Leyva-Mayorga
Čedomir Stefanović
Anders E. Kalør
Petar Popovski
author_sort Federico Chiariotti
collection DOAJ
description Wireless mobile networks from the fifth generation (5G) and beyond serve as platforms for flexible support of heterogeneous traffic types with diverse performance requirements. In particular, the broadband services aim for the traditional rate optimization, while the time-sensitive services aim for the optimization of latency and reliability, and some novel metrics such as Age of Information (AoI). In such settings, the key question is the one of spectrum slicing: how these services share the same chunk of available spectrum while meeting the heterogeneous requirements. In this work we investigated the two canonical frameworks for spectrum sharing, Orthogonal Multiple Access (OMA) and Non-Orthogonal Multiple Access (NOMA), in a simple, but insightful setup with a single time-slotted shared frequency channel, involving one broadband user, aiming to maximize throughput and using packet-level coding to protect its transmissions from noise and interference, and several intermittent users, aiming to either to improve their latency-reliability performance or to minimize their AoI. We analytically assessed the performances of Time Division Multiple Access (TDMA) and ALOHA-based schemes in both OMA and NOMA frameworks by deriving their Pareto regions and the corresponding optimal values of their parameters. Our results show that NOMA can outperform traditional OMA in latency-reliability oriented systems in most conditions, but OMA performs slightly better in age-oriented systems.
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spelling doaj.art-19a5ec5773524e2394bfc69e760bad962023-11-21T21:55:16ZengMDPI AGEntropy1099-43002021-05-0123668610.3390/e23060686Spectrum Slicing for Multiple Access Channels with Heterogeneous ServicesFederico Chiariotti0Israel Leyva-Mayorga1Čedomir Stefanović2Anders E. Kalør3Petar Popovski4Department of Electronic Systems, Aalborg University, Fredrik Bajers Vej 7C, 9100 Aalborg, DenmarkDepartment of Electronic Systems, Aalborg University, Fredrik Bajers Vej 7C, 9100 Aalborg, DenmarkDepartment of Electronic Systems, Aalborg University, Fredrik Bajers Vej 7C, 9100 Aalborg, DenmarkDepartment of Electronic Systems, Aalborg University, Fredrik Bajers Vej 7C, 9100 Aalborg, DenmarkDepartment of Electronic Systems, Aalborg University, Fredrik Bajers Vej 7C, 9100 Aalborg, DenmarkWireless mobile networks from the fifth generation (5G) and beyond serve as platforms for flexible support of heterogeneous traffic types with diverse performance requirements. In particular, the broadband services aim for the traditional rate optimization, while the time-sensitive services aim for the optimization of latency and reliability, and some novel metrics such as Age of Information (AoI). In such settings, the key question is the one of spectrum slicing: how these services share the same chunk of available spectrum while meeting the heterogeneous requirements. In this work we investigated the two canonical frameworks for spectrum sharing, Orthogonal Multiple Access (OMA) and Non-Orthogonal Multiple Access (NOMA), in a simple, but insightful setup with a single time-slotted shared frequency channel, involving one broadband user, aiming to maximize throughput and using packet-level coding to protect its transmissions from noise and interference, and several intermittent users, aiming to either to improve their latency-reliability performance or to minimize their AoI. We analytically assessed the performances of Time Division Multiple Access (TDMA) and ALOHA-based schemes in both OMA and NOMA frameworks by deriving their Pareto regions and the corresponding optimal values of their parameters. Our results show that NOMA can outperform traditional OMA in latency-reliability oriented systems in most conditions, but OMA performs slightly better in age-oriented systems.https://www.mdpi.com/1099-4300/23/6/686Age of InformationNon-Orthogonal Multiple Accessreliabilityheterogeneous accessslotted ALOHA
spellingShingle Federico Chiariotti
Israel Leyva-Mayorga
Čedomir Stefanović
Anders E. Kalør
Petar Popovski
Spectrum Slicing for Multiple Access Channels with Heterogeneous Services
Entropy
Age of Information
Non-Orthogonal Multiple Access
reliability
heterogeneous access
slotted ALOHA
title Spectrum Slicing for Multiple Access Channels with Heterogeneous Services
title_full Spectrum Slicing for Multiple Access Channels with Heterogeneous Services
title_fullStr Spectrum Slicing for Multiple Access Channels with Heterogeneous Services
title_full_unstemmed Spectrum Slicing for Multiple Access Channels with Heterogeneous Services
title_short Spectrum Slicing for Multiple Access Channels with Heterogeneous Services
title_sort spectrum slicing for multiple access channels with heterogeneous services
topic Age of Information
Non-Orthogonal Multiple Access
reliability
heterogeneous access
slotted ALOHA
url https://www.mdpi.com/1099-4300/23/6/686
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