Approximate performance analysis of slotted downlink channel in a wireless CDMA system supporting integrated voice and data services

• Published in: Journal of Telecommunications and Information Technology no. 2
• Main Author: Jacek Świderski
• Format: Journal Article
• Language: English
• Published: National Institute of Telecommunications 30.06.2004
• Subjects: queueing analysis; synchronous downlink; voice and data integration; wireless CDMA system
• ISSN: 1509-4553; 1899-8852
• DOI: 10.26636/jtit.2004.2.241

This paper is concerned with the performance analysis of a slotted downlink channel in a wireless CDMA communication system with integrated packet voice and data transmission. The system model consists of mobile terminals (MT) and a single base station (BS). It is assumed that the voice (data) packet error rate (PER) does not exceed 10-2 (10-5). With this requirement the number of simultaneous transmissions over the downlink channel is limited. Therefore, the objective of the call admission control is to restrict the maximum number of CDMA codes available to voice and data traffic. Packets of accepted voice calls are transmitted immediately while accepted data packets are initially buffered at the BS. This station distinguishes between silence and talkspurt periods of voice sources, so that data packets can use their own codes for transmission during silent time slots. Data packets are buffered in queues created separately for each destination. Discrete-time Markov processes are used to model the system operation. Statistical dependence between queues is the main difficulty which arises during the analysis. This dependence leads to serious computational complexity. The aim of this paper is to present an approximate analytical method based on the restricted occupancy urn model which enables to evaluate system performance despite the dependence. Numerical calculations compared with simulation results show excellent agreement for the average system throughput and the blocking probability of data packets for higher system loads. On the other hand, when the average data packet delay is considered, analytical results underestimate simulation and therefore only approximate system performance evaluation is possible.