NDLI: Uplink capacity of a variable density cellular system with multicell processing

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Uplink capacity of a variable density cellular system with multicell processing

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Uplink capacity of a variable density cellular system with multicell processing

Content Provider	IEEE Xplore Digital Library
Author	Katranaras, E. Imran, M. Tzaras, C.
Copyright Year	1972
Abstract	In this work we investigate the information theoretic capacity of the uplink of a cellular system. Assuming centralised processing for all base stations, we consider a power-law path loss model along with variable cell size (variable density of Base Stations) and we formulate an average path-loss approximation. Considering a realistic Rician flat fading environment, the analytical result for the per-cell capacity is derived for a large number of users distributed over each cell. We extend this general approach to model the uplink of sectorized cellular system. To this end, we assume that the user terminals are served by perfectly directional receiver antennas, dividing the cell coverage area into perfectly non-interfering sectors. We show how the capacity is increased (due to degrees of freedom gain) in comparison to the single receiving antenna system and we investigate the asymptotic behaviour when the number of sectors grows large. We further extend the analysis to find the capacity when the multiple antennas used for each Base Station are omnidirectional and uncorrelated (power gain on top of degrees of freedom gain). We validate the numerical solutions with Monte Carlo simulations for random fading realizations and we interpret the results for the real-world systems.
File Size	801611
File Format	PDF
ISSN	00906778
Volume Number	57
Issue Number	7
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-07-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Base stations Fading Communication systems Receiving antennas Multiaccess communication Wireless networks Decoding Power system modeling Rician channels Directive antennas Information theory, land mobile radio cellular systems, multiaccess communication, Gaussian channels, multipath channels, propagation
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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