User-centric clustering aided design of ultra dense networks
User-centric clustering aided design of ultra dense networks
User-centric clustering is becoming an innovative design principle for ultra dense networks (UDNs) that supports dynamically fluctuating adaptive network topologies. In this article, we introduce the user-centric UDN (UC-UDN) architecture and provide a tutorial on user-centric clustering design by generalizing the problem under practical constraints. In the context of user-centric clustering, we briefly present diverse promising methods, representative constraint options as well as provide a pair of case studies on design tradeoffs. Finally, the salient future directions of UC-UDNs are identified.
Lin, Yan
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Zhang, Rong
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Yang, Luxi
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Li, Chunguo
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Hanzo, Lajos
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Lin, Yan
47e4ee77-1450-4dc1-98b2-d629072f011d
Zhang, Rong
3be8f78f-f079-4a3f-a151-76ecd5f378f4
Yang, Luxi
66464b8a-7efa-4535-84a6-2410a364e855
Li, Chunguo
f4f495d5-0c61-493e-9a7a-e5a7488afeda
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Lin, Yan, Zhang, Rong, Yang, Luxi, Li, Chunguo and Hanzo, Lajos
(2019)
User-centric clustering aided design of ultra dense networks.
IEEE Vehicular Technology Magazine.
(In Press)
Abstract
User-centric clustering is becoming an innovative design principle for ultra dense networks (UDNs) that supports dynamically fluctuating adaptive network topologies. In this article, we introduce the user-centric UDN (UC-UDN) architecture and provide a tutorial on user-centric clustering design by generalizing the problem under practical constraints. In the context of user-centric clustering, we briefly present diverse promising methods, representative constraint options as well as provide a pair of case studies on design tradeoffs. Finally, the salient future directions of UC-UDNs are identified.
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Accepted/In Press date: 5 March 2019
Identifiers
Local EPrints ID: 428659
URI: http://eprints.soton.ac.uk/id/eprint/428659
ISSN: 1556-6072
PURE UUID: 5de34cb5-4b24-4d68-9ee4-6159cc3fcbbc
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Date deposited: 06 Mar 2019 17:30
Last modified: 16 Mar 2024 02:37
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Contributors
Author:
Yan Lin
Author:
Rong Zhang
Author:
Luxi Yang
Author:
Chunguo Li
Author:
Lajos Hanzo
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