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Extended Cell Planning for Capacity Expansion and Power Optimization by Using MEMETIC Algorithm

Extended Cell Planning for Capacity Expansion and Power Optimization by Using MEMETIC Algorithm

Hemraj Saini, L. K. Sharma, T. C. Panda, H. N. Pratihari
Copyright: © 2012 |Volume: 2 |Issue: 2 |Pages: 11
ISSN: 2155-6261|EISSN: 2155-627X|EISBN13: 9781466614826|DOI: 10.4018/ijwnbt.2012040103
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MLA

Saini, Hemraj, et al. "Extended Cell Planning for Capacity Expansion and Power Optimization by Using MEMETIC Algorithm." IJWNBT vol.2, no.2 2012: pp.36-46. http://doi.org/10.4018/ijwnbt.2012040103

APA

Saini, H., Sharma, L. K., Panda, T. C., & Pratihari, H. N. (2012). Extended Cell Planning for Capacity Expansion and Power Optimization by Using MEMETIC Algorithm. International Journal of Wireless Networks and Broadband Technologies (IJWNBT), 2(2), 36-46. http://doi.org/10.4018/ijwnbt.2012040103

Chicago

Saini, Hemraj, et al. "Extended Cell Planning for Capacity Expansion and Power Optimization by Using MEMETIC Algorithm," International Journal of Wireless Networks and Broadband Technologies (IJWNBT) 2, no.2: 36-46. http://doi.org/10.4018/ijwnbt.2012040103

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Abstract

In the current era of cellular world, cell planning plays an important role to achieve better performance of the cellular network. Capacity expansion and cost optimization of a newly activated base station by placing it at an optimized location is one of the primary objectives of the current manuscript. The locations of the new as well as the existing base stations are directly correlated to the required capacity demand and the power of the received signal at the base station which becomes the sensitive parameter for the cell planning. Therefore, cell planning is to be modeled to optimize the location of the base stations in the form of a linear programming problem. Further, the MEMETIC algorithm has to be used for the optimization of the multi-objectives of the scenario. The simulated results show that there is a significant enhancement in the capacity of the base stations (1% to 5%) as compared with the orientation of base stations achieved by random deployment.

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