Throughput Estimation of Downlink Packet Access Systems Based on a Point Mass Approximation Concept

Although the system throughput of a wireless communication system considering multiple users' geographical distribution on a 2-D plane and various traffic characteristics is an important performance metric, its mathematical analysis is very difficult due to the nonindependent identically distributed distribution of the received signal-to-noise ratio (SNR) of each mobile terminal and the complex dynamics of the traffic patterns. Therefore, complicated system-level simulations have been the only approach to evaluate the system throughput of downlink packet-access systems. In this paper, we propose an efficient analytical approach to estimate the system throughput of downlink packet-access systems by using point mass approximation, which is widely used in physics and mechanics. The proposed analysis framework enables the mathematical analysis of the system throughput performance by considering various positions of mobile terminals and traffic patterns without the complicated and heavy system-level simulations. Although the proposed approach has a tradeoff relation between computation complexity and accuracy, we show that it is possible to obtain an effective accuracy with moderate complexity using the proposed analytical approach.

[1]  H. N. Nagaraja,et al.  Order Statistics, Third Edition , 2005, Wiley Series in Probability and Statistics.

[2]  Chiung-Jang Chen,et al.  A unified capacity analysis for wireless systems with joint multiuser scheduling and antenna diversity in Nakagami fading channels , 2006, IEEE Transactions on Communications.

[3]  Mohamed-Slim Alouini,et al.  Performance analysis of multiuser selection diversity , 2004, 2004 IEEE International Conference on Communications (IEEE Cat. No.04CH37577).

[4]  Thomas H. Cormen,et al.  Introduction to algorithms [2nd ed.] , 2001 .

[5]  Leonard Kleinrock,et al.  Queueing Systems: Volume I-Theory , 1975 .

[6]  Dan Keun Sung,et al.  Performance Analysis of Orthogonal Frequency and Code Hopping Multiplexing , 2007, IEEE Transactions on Wireless Communications.

[7]  Y. Li,et al.  Asymptotic throughput analysis for channel-aware scheduling , 2006, IEEE Transactions on Communications.

[8]  Seong-Lyun Kim,et al.  Comparison of opportunistic scheduling policies in time-slotted AMC wireless networks , 2006, 2006 1st International Symposium on Wireless Pervasive Computing.

[9]  Dan Keun Sung,et al.  Performance Analysis of Scheduling-Based Systems in Rayleigh Fading Channels , 2006, 2006 IEEE 17th International Symposium on Personal, Indoor and Mobile Radio Communications.