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Publication Type : Journal Article
Publisher : Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
Source : Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, Springer Verlag, Volume 276, p.1-16 (2019)
ISBN : 9783030206147
Keywords : Access mechanism, Bit error rate, Blocking probability, Capacity increase, channel allocation, Channel Assignment, Femtocell, Femtocell Networks, Hybrid-access, Mobile telecommunication systems, Open access, Performance analysis, Performance parameters, probability, Ubiquitous computing
Campus : Bengaluru
School : School of Engineering
Department : Electronics and Communication
Year : 2019
Abstract : Femtocell channel assignment is an important design criteria in cellular systems. In femtocell, access mechanisms are classified in to three classes: open access, closed access and, hybrid access. Additionally, the subscribers in the femtocell network are divided into two groups: subscriber group (SG) and non-subscriber group (NSG). Normally, some channels are reserved for SG. In this paper, five channel assignment models are briefly discussed and analyzed. The performance parameters such as blocking probability for each case is derived and analyzed. Furthermore, other parameters such as bit error rate (BER), the capacity for different path loss condition are also analyzed. We also identified the optimum reserved percentage of channel for SG so that performance remains the highest. The results show that the increase in offered traffic increases the blocking probability. Also, as the base stations increase, BER decreases and the capacity increases. © 2019, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.
Cite this Research Publication : M. Lalapeta, Sagar B., and Dr. Navin Kumar, “Performance Analysis of Femtocell on Channel Allocation”, Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, vol. 276, pp. 1-16, 2019.