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Packet Scheduling Technique In HSDPA Systems

Posted on:2008-02-12Degree:MasterType:Thesis
Country:ChinaCandidate:Z Y WuFull Text:PDF
GTID:2178360215462639Subject:Communication and Information System
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HSDPA provides impressive enhancements over WCDMA for the downlink. HSDPA can not only support the dissymmetry data service, but also increase the system throughput greatly and minimize the investment of the operators. Since data services are expected to have significant growth over the next few years and will likely become the dominant source of 3G traffic and revenue, packet scheduling algorithms is an important part of the Radio Resource Management (RRM). Therefore, it is significant for the development of telecommunication to carry out the research in the packet scheduling algorithms of HSDPA system in our country.We develop a system-level simulation platform which is for HSDPA. The platform is developed by MATLAB. All modules are designed according to corresponding standards of 3GPP. The platform is easy to use and expand. The platform can serve as the basement of further research about HSDPA.We discuss typical wireless packet scheduling algorithms for HSDPA systems in literatures and investigate their performance via simulations. We mainly evaluate the fairness and system throughput performance of the scheduling algorithms of modern wireless packet scheduling algorithms. The conclusions drawn from the simulation results are helpful for practical utilization.We propose a wireless packet scheduling algorithm which is called J0SMA. Firstly, we introduce a stochastic discrete event model for a HSDPA system. By employing the discrete event model, we transform the scheduling problem of providing uninterrupted play-out to a feasibility problem. We then present an algorithm joined user-scheduling and MCM assignment policy which is as the solution to the above feasibility problem.
Keywords/Search Tags:high-speed downlink packet access (HSDPA), Adaptive modulation and coding (AMC), HybridARQ (HARQ), Markov Fading Channel, opportunistic scheduling, Quality-of-Service (QoS), stability
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