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Gradual Removals in Cellular PCS with Constrained Power Control and Noise
KTH, Superseded Departments, Signals, Sensors and Systems.
IBM, Haifa Research Laboratory.
KTH, Superseded Departments, Signals, Sensors and Systems.ORCID iD: 0000-0003-4986-6123
1996 (English)In: Wireless networks, ISSN 1022-0038, E-ISSN 1572-8196, Vol. 2, no 1, 27-43 p.Article in journal (Refereed) Published
Abstract [en]

In this paper we study the mobile removal problem in a cellular PCS network where  transmitter powers are constrained and controlled by a Distributed Constrained  Power Control (DCPC) algorithm. Receivers are subject to non­negligible noise,  and the DCPC attempts to bring each receiver's CIR above a given target. To  evaluate feasibility and computational complexity, we assume a paradigm where  radio bandwidth is scarce and inter­base station connection is fast.  We show that finding the optimal removal set is an NP-Complete problem,  giving rise for heuristic algorithms. We study and compare among three classes  of transmitter removal algorithms. Two classes consist of algorithms which are  invoked only when reaching a stable power vector under DCPC. The third class  consist of algorithms which combine transmitter removals with power control.  These are One-by-one Removals, Multiple Removals, and Power Control with Removals Combined. In the class of power control with removals combined, we also  consider a distributed algorithm which uses the same local information as DCPC  does.

All removal algorithms are compared with respect to their outage probabilities  and their time to converge to a stable state. Comparisons are made in a hexagonal macro-cellular system, and in two metropolitan micro-cellular systems. The  Power Control with Removals Combined algorithm emerges as practically the best  approach with respect to both criteria.

Place, publisher, year, edition, pages
Kluwer Academic Publishers , 1996. Vol. 2, no 1, 27-43 p.
National Category
Computer and Information Science
Research subject
URN: urn:nbn:se:kth:diva-28554DOI: 10.1007/BF01201460OAI: diva2:387981
QC 20110117Available from: 2011-01-16 Created: 2011-01-16 Last updated: 2011-01-17Bibliographically approved

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