Towards Beyond 5G Future Wireless Networks with focus towards Indoor Localization

Qasim Ahmed; Maryam Hafeez; Faheem Khan; Pavlos Lazaridis

doi:10.1109/ComNet47917.2020.9306084

Towards Beyond 5G Future Wireless Networks with focus towards Indoor Localization

Qasim Ahmed, Maryam Hafeez, Faheem Khan, Pavlos Lazaridis

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

21 Citations (Scopus)

Abstract

Future wireless networks (FWNs) will require embedding artificial intelligence into beyond 5G communication systems for (i) smarter use of network-generated data; (ii) automated enabling of network operators; and (iii) service providers to adapt to changes in traffic patterns, security risks and user behaviour. These provisions can pave the way towards safe and reliable next-generation wireless ecosystems. The paper first reviews existing and emerging aspects of FWNs considering aspects for enhanced multi-antenna and data forwarding techniques; use of artificial intelligence for novel adaptive digital beamforming techniques for realistic antenna arrays; communications in the millimetre-wave bands; blockchain-based approach to spectrum management and sharing; and use of machine learning for enhanced quality of experience to sustain profitable operation of beyond 5G ecosystems. The focus of the paper is then steered towards exploring localization scenarios for FWNs and determining which key parameters will play an integral part when designing an indoor localized FWNs.

Original language	English
Title of host publication	2020 8th International Conference on Communications and Networking, ComNet2020 - Proceedings
Publisher	IEEE
Number of pages	5
ISBN (Electronic)	9781728153209, 9781728153193
ISBN (Print)	9781728153216
DOIs	https://doi.org/10.1109/ComNet47917.2020.9306084
Publication status	Published - 11 Jan 2021
Event	IEEE 8th International Conference on Communications and Networking - Virtual, Virtual, Hammamet, Tunisia Duration: 28 Oct 2020 → 30 Oct 2020 Conference number: 8 https://comnet.ieee.tn/

Conference

Conference	IEEE 8th International Conference on Communications and Networking
Abbreviated title	ComNet 2020
Country/Territory	Tunisia
City	Virtual, Hammamet
Period	28/10/20 → 30/10/20
Internet address	https://comnet.ieee.tn/

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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title = "Towards Beyond 5G Future Wireless Networks with focus towards Indoor Localization",

abstract = "Future wireless networks (FWNs) will require embedding artificial intelligence into beyond 5G communication systems for (i) smarter use of network-generated data; (ii) automated enabling of network operators; and (iii) service providers to adapt to changes in traffic patterns, security risks and user behaviour. These provisions can pave the way towards safe and reliable next-generation wireless ecosystems. The paper first reviews existing and emerging aspects of FWNs considering aspects for enhanced multi-antenna and data forwarding techniques; use of artificial intelligence for novel adaptive digital beamforming techniques for realistic antenna arrays; communications in the millimetre-wave bands; blockchain-based approach to spectrum management and sharing; and use of machine learning for enhanced quality of experience to sustain profitable operation of beyond 5G ecosystems. The focus of the paper is then steered towards exploring localization scenarios for FWNs and determining which key parameters will play an integral part when designing an indoor localized FWNs.",

keywords = "Artificial intelligence, Quality of experience, Wireless networks, Antennas, Prediction algorithms, Optimization, Data analysis",

author = "Qasim Ahmed and Maryam Hafeez and Faheem Khan and Pavlos Lazaridis",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE. Copyright: Copyright 2021 Elsevier B.V., All rights reserved.; IEEE 8th International Conference on Communications and Networking <br/>, ComNet 2020 ; Conference date: 28-10-2020 Through 30-10-2020",

year = "2021",

month = jan,

day = "11",

doi = "10.1109/ComNet47917.2020.9306084",

language = "English",

isbn = "9781728153216",

booktitle = "2020 8th International Conference on Communications and Networking, ComNet2020 - Proceedings",

publisher = "IEEE",

address = "United States",

url = "https://comnet.ieee.tn/",

}

Ahmed, Q, Hafeez, M, Khan, F & Lazaridis, P 2021, Towards Beyond 5G Future Wireless Networks with focus towards Indoor Localization. in 2020 8th International Conference on Communications and Networking, ComNet2020 - Proceedings., 9306084, IEEE, IEEE 8th International Conference on Communications and Networking
, Virtual, Hammamet, Tunisia, 28/10/20. https://doi.org/10.1109/ComNet47917.2020.9306084

TY - GEN

T1 - Towards Beyond 5G Future Wireless Networks with focus towards Indoor Localization

AU - Ahmed, Qasim

AU - Hafeez, Maryam

AU - Khan, Faheem

AU - Lazaridis, Pavlos

N1 - Conference code: 8

PY - 2021/1/11

Y1 - 2021/1/11

N2 - Future wireless networks (FWNs) will require embedding artificial intelligence into beyond 5G communication systems for (i) smarter use of network-generated data; (ii) automated enabling of network operators; and (iii) service providers to adapt to changes in traffic patterns, security risks and user behaviour. These provisions can pave the way towards safe and reliable next-generation wireless ecosystems. The paper first reviews existing and emerging aspects of FWNs considering aspects for enhanced multi-antenna and data forwarding techniques; use of artificial intelligence for novel adaptive digital beamforming techniques for realistic antenna arrays; communications in the millimetre-wave bands; blockchain-based approach to spectrum management and sharing; and use of machine learning for enhanced quality of experience to sustain profitable operation of beyond 5G ecosystems. The focus of the paper is then steered towards exploring localization scenarios for FWNs and determining which key parameters will play an integral part when designing an indoor localized FWNs.

AB - Future wireless networks (FWNs) will require embedding artificial intelligence into beyond 5G communication systems for (i) smarter use of network-generated data; (ii) automated enabling of network operators; and (iii) service providers to adapt to changes in traffic patterns, security risks and user behaviour. These provisions can pave the way towards safe and reliable next-generation wireless ecosystems. The paper first reviews existing and emerging aspects of FWNs considering aspects for enhanced multi-antenna and data forwarding techniques; use of artificial intelligence for novel adaptive digital beamforming techniques for realistic antenna arrays; communications in the millimetre-wave bands; blockchain-based approach to spectrum management and sharing; and use of machine learning for enhanced quality of experience to sustain profitable operation of beyond 5G ecosystems. The focus of the paper is then steered towards exploring localization scenarios for FWNs and determining which key parameters will play an integral part when designing an indoor localized FWNs.

KW - Artificial intelligence

KW - Quality of experience

KW - Wireless networks

KW - Antennas

KW - Prediction algorithms

KW - Optimization

KW - Data analysis

UR - http://www.scopus.com/inward/record.url?scp=85100066793&partnerID=8YFLogxK

U2 - 10.1109/ComNet47917.2020.9306084

DO - 10.1109/ComNet47917.2020.9306084

M3 - Conference contribution

SN - 9781728153216

BT - 2020 8th International Conference on Communications and Networking, ComNet2020 - Proceedings

PB - IEEE

T2 - IEEE 8th International Conference on Communications and Networking <br/>

Y2 - 28 October 2020 through 30 October 2020

ER -

Towards Beyond 5G Future Wireless Networks with focus towards Indoor Localization

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