NDLI: Optimal HSDPA multi-cell power allocation in a moving hotspot scenario

Content Provider	IEEE Xplore Digital Library
Author	Abou-Jaoude, R. Dillinger, M. Mohyeldin, E. Luo, J. Koenig, W. Loewel, T. Hartmann, C.
Copyright Year	2005
Description	Author affiliation: Siemens AG, Munich (Abou-Jaoude, R.; Dillinger, M.; Mohyeldin, E.; Luo, J.)
Abstract	In the context of dynamic network management, the HSDPA power allocation in each cell is considered in this paper as a mean of assigning resources through a wireless network in an autonomic way. Under the umbrella of end-to-end reconfigurability as stated in the E2R EU funded project, dynamic management is enabled by allowing on the fly reconfiguration of network parameters, leading to an optimized use of resources and more flexibility in allocating resources of heterogeneous networks based on demand. The test scenario consists of a moving hotspot, where users are served by a high speed shared data channels. All available spreading codes are given to one user at a time, and a queuing model based on M/G/1-PS is used to evaluate the throughput and the response time both in the hotspot cell and the neighboring cells. A basic algorithm consisting of a total cell power allocation proportional to the number of user waiting to be served is investigated, of which gains in terms of hotspot throughput were proven to be higher than the losses incurring in neighboring and less populated cells. A typical scenario where the hotspot occurs is for example when users move to an area known to be crowded at a certain point of time during the day, but then move again to a neighboring area due to another interest there. The hotspot could also occur in an unexpected way (traffic jam, special events), and resources have to be adapted intelligently and autonomously. The efficiency of such an algorithm is investigated in terms of different parameters. Moreover, in the course of looking for a boundary for the performance of such an algorithm, we propose a simulated annealing based approach to find the optimal power distribution to evaluate the proximity of simpler and faster algorithms to such an optimum
Starting Page	1698
Ending Page	1702
File Size	1001015
Page Count	5
File Format	PDF
ISBN	9783800729098
DOI	10.1109/PIMRC.2005.1651733
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-09-11
Publisher Place	Germany
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Multiaccess communication Resource management Throughput Energy management Wireless networks Project management Testing Delay Traffic control Simulated annealing
Content Type	Text
Resource Type	Article

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