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Optimum model-based non-real-time downlink data transmission in heterogeneous, DS-CDMA cellular networks

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Article number9611740
<mark>Journal publication date</mark>06/2007
<mark>Journal</mark>IEEE Transactions on Wireless Communications
Issue number6
Volume6
Number of pages11
Pages (from-to)2357-2367
Publication statusPublished
Original languageEnglish
EventIEEE International Conference on Wireless and Mobile Computing, Networking and Communications - Montreal, Canada
Duration: 22/08/200524/08/2005

Conference

ConferenceIEEE International Conference on Wireless and Mobile Computing, Networking and Communications
CountryCanada
Period22/08/0524/08/05

Abstract

Motivated by the results in [ 1] on the self-similarity of the downlink interference in heterogenous service DS-CDMA' networks, in this paper, we propose a model-based linear adaptive-predictive method to estimate the level of interference for optimizing the system throughput and minimizing the delay for non-real-time data transmission. We use a fractional Gaussian noise (fGn) model in an appropriate time-scale to represent the self-similarity in the downlink interference. The estimated interference is utilized to allocate the available power to non-real-time services. In doing so, we use a utility-based optimization scheme and dynamic programming for time-domain optimal scheduling of non-real-time traffic. Simulation results validate the fGn model and show a substantial improvement in the delay fairness and a significant increase in the average cell throughput using our proposed scheme; and confirm that the interference model is valid for a broad range of arrival rates of non-real time traffic.