Intelligent radio resource management for IEEE 802.11 WLAN

Y. Wang; L. G. Cuthbert; J. Bigham

Intelligent radio resource management for IEEE 802.11 WLAN

Y. Wang
, L. G. Cuthbert
, J. Bigham

Queen Mary University of London

研究成果: Conference contribution › 同行評審

22 引文斯高帕斯（Scopus）

摘要

IEEE 802.11 based WLANs have been widely deployed. Currently research is concentrating on how to find the best location for these access points plus tuning their antennas in order to seamlessly cover large areas. With more and more WLAN users, the air interface acts as bottleneck even in high-speed WLAN systems such as IEEE 802.11a. To improve the overall performance of IEEE 802.11 WLAN systems under congestion conditions, an agent-based radio resource management system is proposed that can dynamically change an AP's radio coverage pattern in cooperation with surrounding APs. A low-cost four sector semi-smart antenna array is used for access points. In this paper we present results from a simulation showing system performance. The use of intelligent agents and negotiations for in-door radio resource management is presented and discussed.

原文	English
主出版物標題	2004 IEEE Wireless Communications and Networking Conference, WCNC 2004
發行者	Institute of Electrical and Electronics Engineers Inc.
頁面	1365-1370
頁數	6
卷	3
ISBN（列印）	0780383443
出版狀態	Published - 2004
對外發佈	是
事件	2004 IEEE Wireless Communications and Networking Conference, WCNC 2004 - Atlanta, GA, United States 持續時間: 21 3月 2004 → 25 3月 2004

Conference

Conference	2004 IEEE Wireless Communications and Networking Conference, WCNC 2004
國家/地區	United States
城市	Atlanta, GA
期間	21/03/04 → 25/03/04

其它文件與鏈接

Link to publication in Scopus

引用此

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title = "Intelligent radio resource management for IEEE 802.11 WLAN",

abstract = "IEEE 802.11 based WLANs have been widely deployed. Currently research is concentrating on how to find the best location for these access points plus tuning their antennas in order to seamlessly cover large areas. With more and more WLAN users, the air interface acts as bottleneck even in high-speed WLAN systems such as IEEE 802.11a. To improve the overall performance of IEEE 802.11 WLAN systems under congestion conditions, an agent-based radio resource management system is proposed that can dynamically change an AP's radio coverage pattern in cooperation with surrounding APs. A low-cost four sector semi-smart antenna array is used for access points. In this paper we present results from a simulation showing system performance. The use of intelligent agents and negotiations for in-door radio resource management is presented and discussed.",

author = "Y. Wang and Cuthbert, \{L. G.\} and J. Bigham",

year = "2004",

language = "English",

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booktitle = "2004 IEEE Wireless Communications and Networking Conference, WCNC 2004",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

address = "United States",

note = "2004 IEEE Wireless Communications and Networking Conference, WCNC 2004 ; Conference date: 21-03-2004 Through 25-03-2004",

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TY - GEN

T1 - Intelligent radio resource management for IEEE 802.11 WLAN

AU - Wang, Y.

AU - Cuthbert, L. G.

AU - Bigham, J.

PY - 2004

Y1 - 2004

N2 - IEEE 802.11 based WLANs have been widely deployed. Currently research is concentrating on how to find the best location for these access points plus tuning their antennas in order to seamlessly cover large areas. With more and more WLAN users, the air interface acts as bottleneck even in high-speed WLAN systems such as IEEE 802.11a. To improve the overall performance of IEEE 802.11 WLAN systems under congestion conditions, an agent-based radio resource management system is proposed that can dynamically change an AP's radio coverage pattern in cooperation with surrounding APs. A low-cost four sector semi-smart antenna array is used for access points. In this paper we present results from a simulation showing system performance. The use of intelligent agents and negotiations for in-door radio resource management is presented and discussed.

AB - IEEE 802.11 based WLANs have been widely deployed. Currently research is concentrating on how to find the best location for these access points plus tuning their antennas in order to seamlessly cover large areas. With more and more WLAN users, the air interface acts as bottleneck even in high-speed WLAN systems such as IEEE 802.11a. To improve the overall performance of IEEE 802.11 WLAN systems under congestion conditions, an agent-based radio resource management system is proposed that can dynamically change an AP's radio coverage pattern in cooperation with surrounding APs. A low-cost four sector semi-smart antenna array is used for access points. In this paper we present results from a simulation showing system performance. The use of intelligent agents and negotiations for in-door radio resource management is presented and discussed.

UR - https://www.scopus.com/pages/publications/4544359956

M3 - Conference contribution

AN - SCOPUS:4544359956

SN - 0780383443

VL - 3

SP - 1365

EP - 1370

BT - 2004 IEEE Wireless Communications and Networking Conference, WCNC 2004

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2004 IEEE Wireless Communications and Networking Conference, WCNC 2004

Y2 - 21 March 2004 through 25 March 2004

ER -

Intelligent radio resource management for IEEE 802.11 WLAN

摘要

Conference

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