Controlling self healing cellular networks using fuzzy logic

Arsalan Saeed; Osianoh Glenn Aliu; Muhammad Ali Imran

doi:10.1109/WCNC.2012.6214334

Controlling self healing cellular networks using fuzzy logic

Arsalan Saeed
, Osianoh Glenn Aliu
, Muhammad Ali Imran

University of Surrey

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

31 Scopus citations

Abstract

Wireless cellular communication networks is undergoing a transition from being a simply optional voice communication to becoming a necessity in our everyday lives. In order to ensure uninterrupted high Quality of Experience for subscribers, network operators must ensure 100% reliability of their networks without any discontinuity either for planned maintenance or breakdown. This paper demonstrates self healing capability to the fault recovery process for each cell. It is proposed to compensate cells in failure by neighboring cells optimizing their coverage with antenna reconfiguration and power compensation resulting in filling the coverage gap and improving the QoS for users. The right choice of these reconfigured parameters is determined through a process involving fuzzy logic control and reinforcement learning. Results show an improvement in the network performance for the area under outage as perceived by each user in the system.

Original language	English
Title of host publication	2012 IEEE Wireless Communications and Networking Conference, WCNC 2012
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	3080-3084
Number of pages	5
ISBN (Print)	9781467304375
DOIs	https://doi.org/10.1109/WCNC.2012.6214334
State	Published - 2012
Externally published	Yes
Event	2012 IEEE Wireless Communications and Networking Conference, WCNC 2012 - Paris, France Duration: 1 Apr 2012 → 4 Apr 2012

Publication series

Name	IEEE Wireless Communications and Networking Conference, WCNC
ISSN (Print)	1525-3511
ISSN (Electronic)	1558-2612

Conference

Conference	2012 IEEE Wireless Communications and Networking Conference, WCNC 2012
Country/Territory	France
City	Paris
Period	1/04/12 → 4/04/12

Access to Document

10.1109/WCNC.2012.6214334

Cite this

Saeed, A., Aliu, O. G., & Imran, M. A. (2012). Controlling self healing cellular networks using fuzzy logic. In 2012 IEEE Wireless Communications and Networking Conference, WCNC 2012 (pp. 3080-3084). Article 6214334 (IEEE Wireless Communications and Networking Conference, WCNC). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/WCNC.2012.6214334

@inproceedings{23f2073ffe774a9c8124621fbc483ef6,

title = "Controlling self healing cellular networks using fuzzy logic",

abstract = "Wireless cellular communication networks is undergoing a transition from being a simply optional voice communication to becoming a necessity in our everyday lives. In order to ensure uninterrupted high Quality of Experience for subscribers, network operators must ensure 100\% reliability of their networks without any discontinuity either for planned maintenance or breakdown. This paper demonstrates self healing capability to the fault recovery process for each cell. It is proposed to compensate cells in failure by neighboring cells optimizing their coverage with antenna reconfiguration and power compensation resulting in filling the coverage gap and improving the QoS for users. The right choice of these reconfigured parameters is determined through a process involving fuzzy logic control and reinforcement learning. Results show an improvement in the network performance for the area under outage as perceived by each user in the system.",

author = "Arsalan Saeed and Aliu, \{Osianoh Glenn\} and Imran, \{Muhammad Ali\}",

year = "2012",

doi = "10.1109/WCNC.2012.6214334",

language = "English",

isbn = "9781467304375",

series = "IEEE Wireless Communications and Networking Conference, WCNC",

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

pages = "3080--3084",

booktitle = "2012 IEEE Wireless Communications and Networking Conference, WCNC 2012",

address = "United States",

note = "2012 IEEE Wireless Communications and Networking Conference, WCNC 2012 ; Conference date: 01-04-2012 Through 04-04-2012",

}

Saeed, A, Aliu, OG & Imran, MA 2012, Controlling self healing cellular networks using fuzzy logic. in 2012 IEEE Wireless Communications and Networking Conference, WCNC 2012., 6214334, IEEE Wireless Communications and Networking Conference, WCNC, Institute of Electrical and Electronics Engineers Inc., pp. 3080-3084, 2012 IEEE Wireless Communications and Networking Conference, WCNC 2012, Paris, France, 1/04/12. https://doi.org/10.1109/WCNC.2012.6214334

Controlling self healing cellular networks using fuzzy logic. / Saeed, Arsalan; Aliu, Osianoh Glenn; Imran, Muhammad Ali.
2012 IEEE Wireless Communications and Networking Conference, WCNC 2012. Institute of Electrical and Electronics Engineers Inc., 2012. p. 3080-3084 6214334 (IEEE Wireless Communications and Networking Conference, WCNC).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Controlling self healing cellular networks using fuzzy logic

AU - Saeed, Arsalan

AU - Aliu, Osianoh Glenn

AU - Imran, Muhammad Ali

PY - 2012

Y1 - 2012

N2 - Wireless cellular communication networks is undergoing a transition from being a simply optional voice communication to becoming a necessity in our everyday lives. In order to ensure uninterrupted high Quality of Experience for subscribers, network operators must ensure 100% reliability of their networks without any discontinuity either for planned maintenance or breakdown. This paper demonstrates self healing capability to the fault recovery process for each cell. It is proposed to compensate cells in failure by neighboring cells optimizing their coverage with antenna reconfiguration and power compensation resulting in filling the coverage gap and improving the QoS for users. The right choice of these reconfigured parameters is determined through a process involving fuzzy logic control and reinforcement learning. Results show an improvement in the network performance for the area under outage as perceived by each user in the system.

AB - Wireless cellular communication networks is undergoing a transition from being a simply optional voice communication to becoming a necessity in our everyday lives. In order to ensure uninterrupted high Quality of Experience for subscribers, network operators must ensure 100% reliability of their networks without any discontinuity either for planned maintenance or breakdown. This paper demonstrates self healing capability to the fault recovery process for each cell. It is proposed to compensate cells in failure by neighboring cells optimizing their coverage with antenna reconfiguration and power compensation resulting in filling the coverage gap and improving the QoS for users. The right choice of these reconfigured parameters is determined through a process involving fuzzy logic control and reinforcement learning. Results show an improvement in the network performance for the area under outage as perceived by each user in the system.

UR - https://www.scopus.com/pages/publications/84864362520

U2 - 10.1109/WCNC.2012.6214334

DO - 10.1109/WCNC.2012.6214334

M3 - Conference contribution

AN - SCOPUS:84864362520

SN - 9781467304375

T3 - IEEE Wireless Communications and Networking Conference, WCNC

SP - 3080

EP - 3084

BT - 2012 IEEE Wireless Communications and Networking Conference, WCNC 2012

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2012 IEEE Wireless Communications and Networking Conference, WCNC 2012

Y2 - 1 April 2012 through 4 April 2012

ER -

Controlling self healing cellular networks using fuzzy logic

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