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    Optimized LTE Cell Planning with Varying Spatial and Temporal User Densities

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    Type
    Article
    Authors
    Ghazzai, Hakim cc
    Yaacoub, Elias
    Alouini, Mohamed-Slim cc
    Dawy, Zaher
    Abu Dayya, Adnan
    KAUST Department
    Communication Theory Lab
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Electrical Engineering Program
    Date
    2015-03-09
    Online Publication Date
    2015-03-09
    Print Publication Date
    2016-03
    Permanent link to this record
    http://hdl.handle.net/10754/550519
    
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    Abstract
    Base station deployment in cellular networks is one of the fundamental problems in network design. This paper proposes a novel method for the cell planning problem for the fourth generation (4G) cellular networks using meta-heuristic algorithms. In this approach, we aim to satisfy both cell coverage and capacity constraints simultaneously by formulating an optimization problem that captures practical planning aspects. The starting point of the planning process is defined through a dimensioning exercise that captures both coverage and capacity constraints. Afterwards, we implement a meta-heuristic algorithm based on swarm intelligence (e.g., particle swarm optimization or the recently-proposed grey wolf optimizer) to find suboptimal base station locations that satisfy both problem constraints in the area of interest which can be divided into several subareas with different spatial user densities. Subsequently, an iterative approach is executed to eliminate eventual redundant base stations. We also perform Monte Carlo simulations to study the performance of the proposed scheme and compute the average number of users in outage. Next, the problems of green planning with regards to temporal traffic variation and planning with location constraints due to tight limits on electromagnetic radiations are addressed, using the proposed method. Finally, in our simulation results, we apply our proposed approach for different scenarios with different subareas and user distributions and show that the desired network quality of service targets are always reached even for large-scale problems.
    Citation
    Optimized LTE Cell Planning with Varying Spatial and Temporal User Densities 2015:1 IEEE Transactions on Vehicular Technology
    Publisher
    Institute of Electrical and Electronics Engineers (IEEE)
    Journal
    IEEE Transactions on Vehicular Technology
    DOI
    10.1109/TVT.2015.2411579
    Additional Links
    http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=7056465
    ae974a485f413a2113503eed53cd6c53
    10.1109/TVT.2015.2411579
    Scopus Count
    Collections
    Articles; Electrical Engineering Program; Communication Theory Lab; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

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