Macro- and femtocell interference mitigation in OFDMA wireless systems
Macro- and femtocell interference mitigation in OFDMA wireless systems
We conceive an interference mitigation scheme, for twin-layer networks for protecting the macrocell-users, from the interference imposed by the femtocells as well as for mitigating the interference amongst femtocells. Femtocells are capable of finding the available sub-bands using cognitive radio techniques, where the lowest interference is observed by the nearby macrocell-users. A sub-channel allocation algorithm is developed with the aid of graph-theoretic approaches for optimizing the femtocell throughput in dense femtocells deployment scenarios. The femto-users are grouped into different clusters for suppressing the interference amongst them. Each cluster is assigned a unique sub-channel by using the classic cluster-coloring approach. Adaptive power allocation is performed among the femtocells for further enhancing the system throughput and the attainable performance is quantified.
5290-5296
Ning, Gang
c132a057-71ba-4811-b29d-ea6abe00fc01
Yang, Qinghai
46fa2e62-819f-4d76-9032-2e03827b70ec
Kwak, Sup Kyung
7b9cb4b2-2dfc-4022-9342-1be1eff48ce5
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
3 December 2012
Ning, Gang
c132a057-71ba-4811-b29d-ea6abe00fc01
Yang, Qinghai
46fa2e62-819f-4d76-9032-2e03827b70ec
Kwak, Sup Kyung
7b9cb4b2-2dfc-4022-9342-1be1eff48ce5
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Ning, Gang, Yang, Qinghai, Kwak, Sup Kyung and Hanzo, Lajos
(2012)
Macro- and femtocell interference mitigation in OFDMA wireless systems.
In 2012 IEEE Global Communications Conference (GLOBECOM).
IEEE.
.
(doi:10.1109/GLOCOM.2012.6503924).
Record type:
Conference or Workshop Item
(Paper)
Abstract
We conceive an interference mitigation scheme, for twin-layer networks for protecting the macrocell-users, from the interference imposed by the femtocells as well as for mitigating the interference amongst femtocells. Femtocells are capable of finding the available sub-bands using cognitive radio techniques, where the lowest interference is observed by the nearby macrocell-users. A sub-channel allocation algorithm is developed with the aid of graph-theoretic approaches for optimizing the femtocell throughput in dense femtocells deployment scenarios. The femto-users are grouped into different clusters for suppressing the interference amongst them. Each cluster is assigned a unique sub-channel by using the classic cluster-coloring approach. Adaptive power allocation is performed among the femtocells for further enhancing the system throughput and the attainable performance is quantified.
More information
Published date: 3 December 2012
Venue - Dates:
2012 IEEE Global Communications Conference (GLOBECOM), , Anaheim, United States, 2012-12-03 - 2012-12-07
Organisations:
Southampton Wireless Group
Identifiers
Local EPrints ID: 346083
URI: http://eprints.soton.ac.uk/id/eprint/346083
ISSN: 1930-529X
PURE UUID: 064084f6-996e-442a-b63c-17018959278f
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Date deposited: 10 Dec 2012 21:09
Last modified: 18 Mar 2024 02:35
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Contributors
Author:
Gang Ning
Author:
Qinghai Yang
Author:
Sup Kyung Kwak
Author:
Lajos Hanzo
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