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A heuristics based approach for cellular mobile network planning
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Source International Conference On Communications And Mobile Computing archive
Proceedings of the 2006 international conference on Wireless communications and mobile computing table of contents
Vancouver, British Columbia, Canada
SESSION: M1-D: sensor and wireless resource management symposium table of contents
Pages: 79 - 84  
Year of Publication: 2006
ISBN:1-59593-306-9
Authors
Marwan H. Abu-Amara  King Fahd University of Petroleum & Minerals, Dhahran, Saudi Arabia
Sadiq M. Sait  King Fahd University of Petroleum & Minerals, Dhahran, Saudi Arabia
Abdul Subhan  King Fahd University of Petroleum & Minerals, Dhahran, Saudi Arabia
Sponsor
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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ABSTRACT

Designing and planning of the switching, signaling and support network is a fairly complex process in cellular mobile network. In this paper, the problem of assigning cells to switches in cellular mobile network, which is considered a planning problem, is addressed. The cell to switch assignment problem which falls under the category of the Quadratic Assignment Problem (QAP) is a proven NP--hard problem. Further, the problem is modeled to include an additional constraint in the formulation. The additional constraint is of the maximum number of switch ports that are used for a cell's Base Station Transceiver System (BTS) connectivity to the switch. The addition of the constraint on the number of ports on a switch has immense practical significance. This paper presents a non--deterministic heuristic based on Simulated Evolution (SimE) iterative algorithm to provide solutions. The methods adopted in this paper are a completely innovative formulation of the problem and involve application of Evolutionary Computing for this complex problem that may be extended to solutions of similar problems in VLSI design, distributed computing and many other applications.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Collaborative Colleagues:
Marwan H. Abu-Amara: colleagues
Sadiq M. Sait: colleagues
Abdul Subhan: colleagues