The University of Southampton
University of Southampton Institutional Repository

Comparative Study of Adaptive Beam-Steering and Adaptive Modulation-Assisted Dynamic Channel Allocation Algorithms

Comparative Study of Adaptive Beam-Steering and Adaptive Modulation-Assisted Dynamic Channel Allocation Algorithms
Comparative Study of Adaptive Beam-Steering and Adaptive Modulation-Assisted Dynamic Channel Allocation Algorithms
Abstract—A range of dynamic channel allocation (DCA) algorithms, namely, distributed control and locally distributed control assisted DCA arrangements, are studied comparatively. The so-called locally optimized least interference algorithm (LOLIA) emerges as one of the best candidates for future mobile systems, supporting more than twice the number of subscribers in comparison to conventional fixed channel allocation (FCA). It can also cope with unexpected large increases in teletraffic demands while requiring no tedious frequency planning. This is achieved at the cost of more complex call setup and control, and the requirement of fast backbone networks for base station–base station signalling. Adaptive antennas are shown to significantly enhance the capacity of both the LOLIA and FCA-based networks, especially when used in conjunction with adaptive modulation techniques. Index Terms—Adaptive arrays, adaptive modulation, beam steering, dynamic channel allocation (DCA), smart antennas, wireless networking.
398-415
Blogh, J.S.
ddd94f26-9ce5-45cd-801e-eed0531aa3c5
Cherriman, P.J.
1e7d352c-2e6e-4892-bb0b-4f4744d3dc63
Hanzo, L.
66e7266f-3066-4fc0-8391-e000acce71a1
Blogh, J.S.
ddd94f26-9ce5-45cd-801e-eed0531aa3c5
Cherriman, P.J.
1e7d352c-2e6e-4892-bb0b-4f4744d3dc63
Hanzo, L.
66e7266f-3066-4fc0-8391-e000acce71a1

Blogh, J.S., Cherriman, P.J. and Hanzo, L. (2001) Comparative Study of Adaptive Beam-Steering and Adaptive Modulation-Assisted Dynamic Channel Allocation Algorithms. IEEE Transactions on Vehicular Technology, 50 (2), 398-415.

Record type: Article

Abstract

Abstract—A range of dynamic channel allocation (DCA) algorithms, namely, distributed control and locally distributed control assisted DCA arrangements, are studied comparatively. The so-called locally optimized least interference algorithm (LOLIA) emerges as one of the best candidates for future mobile systems, supporting more than twice the number of subscribers in comparison to conventional fixed channel allocation (FCA). It can also cope with unexpected large increases in teletraffic demands while requiring no tedious frequency planning. This is achieved at the cost of more complex call setup and control, and the requirement of fast backbone networks for base station–base station signalling. Adaptive antennas are shown to significantly enhance the capacity of both the LOLIA and FCA-based networks, especially when used in conjunction with adaptive modulation techniques. Index Terms—Adaptive arrays, adaptive modulation, beam steering, dynamic channel allocation (DCA), smart antennas, wireless networking.

Text
50vt02-blogh.pdf - Other
Download (459kB)

More information

Published date: March 2001
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 255916
URI: http://eprints.soton.ac.uk/id/eprint/255916
PURE UUID: efea9c8c-f8fe-46bf-a4f9-469d5254d8a1
ORCID for L. Hanzo: ORCID iD orcid.org/0000-0002-2636-5214

Catalogue record

Date deposited: 17 Dec 2003
Last modified: 20 Jul 2019 01:26

Export record

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×