Power-Controlled Rate and Coverage Adaptation for WCDMA Cellular Networks

Ali, Khaled A.; Hassanein, Hossam S.; Mouftah, Hussein T.

doi:10.1109/iscc.2008.4625628

Cited by 3 publications

(1 citation statement)

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“…In literature, Adjusting the transmission power of the eNodeB is always the most common way for coverage optimization [4,5]. However, employing only power adjustment for coverage optimization is sub optimal since when the power adjustment limits are reached, persisting abnormal coverage can't be optimized.…”

Section: Introductionmentioning

confidence: 99%

Intra-cluster autonomous coverage optimization for dense LTE-A networks

Esswie

2016

2016 IEEE 27th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC)

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Abstract-Self Organizing Networks (SONs) are considered as vital deployments towards upcoming dense cellular networks. From a mobile carrier point of view, continuous coverage optimization is critical for better user perceptions. The majority of SON contributions introduce novel algorithms that optimize specific performance metrics. However, they require extensive processing delays and advanced knowledge of network statistics that may not be available. In this work, a progressive Autonomous Coverage Optimization (ACO) method combined with adaptive cell dimensioning is proposed. The proposed method emphasizes the fact that the effective cell coverage is a variant on actual user distributions. ACO algorithm builds a generic Space-Time virtual coverage map per cell to detect coverage holes in addition to limited or extended coverage conditions. Progressive levels of optimization are followed to timely resolve coverage issues with maintaining optimization stability. Proposed ACO is verified under both simulations and practical deployment in a pilot cluster for a worldwide mobile carrier. Key Performance Indicators show that proposed ACO method significantly enhances system coverage and performance.

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Section: Introductionmentioning

confidence: 99%