Soft Computing Based Power Control for Interference Mitigation in LTE Femtocell Networks

Sivaraj, Nirmala; Palanisamy, Padmaloshani

doi:10.1016/j.procs.2016.03.013

Cited by 2 publications

(1 citation statement)

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“…Environmental and atmospheric conditions, operating frequency and distance between transmitter and receiver are factors that can affect signal path loss (Premchandra et al, 2015). Sivaraja and Palanisamy (2016) explain that cellular coverage can be evaluated from the Non-Line Of Sight (NLOS) path loss (Path-Loss) formula by considering the distance between the different equipment and some network parameters (Sivaraja and Palanisamy, 2016). Buenestado et al (2017) propose a self-planning algorithm that adjusts the transmission power of a base station in the system (network) cell by cell by improving the overall spectral efficiency of the network in the downward direction with reduction of the transmission power of specific cells to eliminate interference problems (Buenestado et al, 2017).…”

Section: Related Workmentioning

confidence: 99%

Evaluation of the Impact of Obstacles on the Capacity of a LTE Network in Urban Area in the Uplink

Alex¹,

Konaté²,

Pacôme³

et al. 2019

American Journal of Engineering and Applied Sciences

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Power control is a major issue in the deployment of 4G mobile networks. Indeed, environmental constraints (relief, Air, noise,...) affect the propagation channels of mobile network systems. The new multimedia services, which consume large amounts of radio resources (frequencies), then lead to an optimization of power control in the cellular coverage in the uplink direction. The aim is to optimize the capacity of radio resources in the cellular coverage based on a COST-231 Walfisch-Ikegami semi-empirical propagation model for power control in the upward direction. It is a question of studying the signal quality between a mobile station and the base station under the constraint of obstacles (Buildings) in order to evaluate the effect of propagation losses on the transmission power in Uplink using different frequencies of the network. Results show that the transmission power is strongly influenced by the path losses that depend on the carrier frequency. Higher the transmission frequency, the less the wave propagates due to propagation and penetration losses due to different barriers.

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