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Capacity of multi-service cellular networks with transmission-rate control: a queueing analysis
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Source International Conference on Mobile Computing and Networking archive
Proceedings of the 8th annual international conference on Mobile computing and networking table of contents
Atlanta, Georgia, USA
SESSION: Resource Control and QoS in Wireless Systems table of contents
Pages: 205 - 214  
Year of Publication: 2002
ISBN:1-58113-486-X
Author
Eitan Altman  Univ. de Los Andes, Mérida, Venezuela
Sponsors
ACM: Association for Computing Machinery
SIGMOBILE: ACM Special Interest Group on Mobility of Systems, Users, Data and Computing
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 6,   Downloads (12 Months): 33,   Citation Count: 12
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ABSTRACT

In this paper we compute the uplink capacity of power-control CDMA mobile networks with an idealized power control, that contain best-effort type applications, i.e. applications whose transmission rate can be controlled. An arriving best-effort call is assumed to have a fixed amount of traffic to send, so the transmission rate assigned to it determines the duration of the call. We allow for multi-services (so that mobile stations have different quality of service requirements). Unlike some previous published work where soft blocking was considered (and the system was thus allowed to operate beyond capacity), we assume that a call admission mechanism is implemented in order to prevent a new call to arrive when the system is already saturated. This guarantees the quality of service of ongoing calls. Our first result is that slowing the transmission rates in the case of a single cell with homogeneous quality of service characteristics increases capacity. This suggests that there is a limit capacity that can be approached when slowing down the transmission rates. We identify this limit and show that it has the following property: as long as the arrival rate of information is below some level, blocking probability can become arbitrarily small by sufficiently slowing down the transmission rates. We then extend the results to the general heterogeneous and multi-cell case.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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CITED BY  12