Adaptive Partitioning based Downlink Call Admission Control in 3G LTE 


Vol. 32,  No. 6, pp. 565-572, Jun.  2007


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  Abstract

3G Long Term Evolution (3G LTE) is a next generation cellular networks system capable of providing various mobile multimedia services by using OFDMA and MIMO based radio access technology. Among many differences from existing WCDMA based systems, the facts that 3G LTE uses Physical Resource Block (PRB) as its radio resources and provides all services through the PS domain make the development of new resource management schemes necessary. This paper proposes an adaptive partitioning based downlink call admission control scheme. It separates realtime call requests from non-realtime ones, specifies maximum allowable resource amounts for each type, but if the maximum is exceeded, call requests are accepted with probability proportional to remaining resource amounts. Despite the fact that such adaptive concept has been already adopted by other call admission schemes, the contributions of our paper, which are that we are able to find an efficient way to apply the proposed scheme exploiting PRB characteristics and measure the resource usage of base stations by PRB utilization and payload ratio, are still valid. When judging from simulation results in comparison with others, our scheme is able to prioritize realtime call requests over non-realtime ones, and at the same time, overall system performance is superior.

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  Cite this article

[IEEE Style]

K. Jun, "Adaptive Partitioning based Downlink Call Admission Control in 3G LTE," The Journal of Korean Institute of Communications and Information Sciences, vol. 32, no. 6, pp. 565-572, 2007. DOI: .

[ACM Style]

Kyungkoo Jun. 2007. Adaptive Partitioning based Downlink Call Admission Control in 3G LTE. The Journal of Korean Institute of Communications and Information Sciences, 32, 6, (2007), 565-572. DOI: .

[KICS Style]

Kyungkoo Jun, "Adaptive Partitioning based Downlink Call Admission Control in 3G LTE," The Journal of Korean Institute of Communications and Information Sciences, vol. 32, no. 6, pp. 565-572, 6. 2007.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880