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Anticipatory association for indoor visible light communications: Light, follow me!

Anticipatory association for indoor visible light communications: Light, follow me!
Anticipatory association for indoor visible light communications: Light, follow me!
In this paper, a radically new anticipatory perspective is taken into account when designing the user-to-Access Point (AP) associations for indoor Visible Light Communications (VLC) networks, in the presence of users' mobility and wirelesstraffic dynamics. In its simplest guise, by considering the users' future locations and their predicted traffic dynamics, the novel anticipatory association prepares the APs for users in advance, resulting in an enhanced location- and delay-awareness. This is technically realised by our contrived design of an efficient approximate dynamic programming algorithm. More importantly, our study is in contrast to most of the current research in the area of indoor VLC networks, where static network environment was mainly considered. Hence, our study is able to draw insights on the performance trade-off between delay and throughput in dynamic indoor VLC networks. It is shown that the novel anticipatory design is capable of significantly outperforming the conventional benchmarking designs, striking an attractive performance trade-off between delay and throughput. Quantitatively, the average system queue backlog is reduced from 15 [ms] to 8 [ms], when comparing the design advocated to the conventional benchmark at the per-user throughput of 100 [Mbps], in a 15×15×5 [m 3 ] indoor environment associated with 8×8 APs and 20 users walking at 1 [m/s].
1536-1276
2499-2510
Zhang, Rong
3be8f78f-f079-4a3f-a151-76ecd5f378f4
Cui, Ying
2cb66741-714f-425f-ad45-4b08214edb90
Claussen, Holger
de6f8584-39a9-428c-aea3-41ffd2937512
Harald, Haas
92c94b55-8aee-4590-90f3-540fd050b003
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Zhang, Rong
3be8f78f-f079-4a3f-a151-76ecd5f378f4
Cui, Ying
2cb66741-714f-425f-ad45-4b08214edb90
Claussen, Holger
de6f8584-39a9-428c-aea3-41ffd2937512
Harald, Haas
92c94b55-8aee-4590-90f3-540fd050b003
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1

Zhang, Rong, Cui, Ying, Claussen, Holger, Harald, Haas and Hanzo, Lajos (2018) Anticipatory association for indoor visible light communications: Light, follow me! IEEE Transactions on Wireless Communications, 17 (4), 2499-2510. (doi:10.1109/TWC.2018.2797182).

Record type: Article

Abstract

In this paper, a radically new anticipatory perspective is taken into account when designing the user-to-Access Point (AP) associations for indoor Visible Light Communications (VLC) networks, in the presence of users' mobility and wirelesstraffic dynamics. In its simplest guise, by considering the users' future locations and their predicted traffic dynamics, the novel anticipatory association prepares the APs for users in advance, resulting in an enhanced location- and delay-awareness. This is technically realised by our contrived design of an efficient approximate dynamic programming algorithm. More importantly, our study is in contrast to most of the current research in the area of indoor VLC networks, where static network environment was mainly considered. Hence, our study is able to draw insights on the performance trade-off between delay and throughput in dynamic indoor VLC networks. It is shown that the novel anticipatory design is capable of significantly outperforming the conventional benchmarking designs, striking an attractive performance trade-off between delay and throughput. Quantitatively, the average system queue backlog is reduced from 15 [ms] to 8 [ms], when comparing the design advocated to the conventional benchmark at the per-user throughput of 100 [Mbps], in a 15×15×5 [m 3 ] indoor environment associated with 8×8 APs and 20 users walking at 1 [m/s].

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Accepted/In Press date: 16 January 2018
e-pub ahead of print date: 26 January 2018
Published date: April 2018

Identifiers

Local EPrints ID: 417262
URI: http://eprints.soton.ac.uk/id/eprint/417262
ISSN: 1536-1276
PURE UUID: 2dbc57f7-6bcd-4a77-8345-f727c1249aee
ORCID for Lajos Hanzo: ORCID iD orcid.org/0000-0002-2636-5214

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Date deposited: 26 Jan 2018 17:30
Last modified: 07 Oct 2020 04:31

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