This paper discusses the interaction between high speed downlink packet access (HSDPA) Alcatel-Lucent. © 2007 Alcatel-Lucent. management between the radio network controller (RNC) and Node B. First, the RNC provides the total resource target, which then is distributed between specific high speed users by the Node B scheduling algorithm. Second, the RNC still performs load control tasks for legacy DCH users, such as call admission control (CAC). We present how the load control decision in the RNC can be improved by utilizing the knowledge of the resource allocation principles applied by the scheduler in Node B.This paper first describes the Alcatel-Lucent Packet UMTS Simulator (LUPUS), a simulation tool, which is used to evaluate the performance of the resource management algorithms. We then provide studies on HSDPA showing the allocation principles for high speed shared control channel (HS-SCCH) codes and explain how HSDPA services interact with DCH voice service by means of resource sharing. Particular attention is paid to the three different allocation strategies for HSDPA power and high speed physical downlink shared channel (HS-PDSCH) codes. IntroductionWith the emergence of mobile data applications in 3G wireless systems such as Universal Mobile Telecommunications System (UMTS), the application of more efficient methods for packet data transmission such as high speed downlink packet access (HSDPA) or high speed uplink packet access (HSUPA) has become more important. One of the major enhancements of these new techniques is the application of fast dynamic scheduling methods in Node B, which bring parts of the resource management closer to the air interface [5,6]. It is believed that besides other enhancements such as hybrid automatic repeat request (HARQ) or higher order modulation, fast scheduling provides significant improvement in air interface capacity as well as in user-perceived performance.While many previous papers have addressed Node B scheduling aspects, we focus in this contribution on the interaction with the RNC resource management algorithms introduced to control the resources for legacy dedicated channel (DCH) users. We discuss two aspects of distribution of resource Aspects of radio resource management for HSUPA are discussed, showing the performance of two enhanced dedicated channel (E-DCH) resource management strategies, namely, total load based vs. non-E-DCH load based resource assignment. We conclude by emphasizing the main considerations to be taken for the interaction between the various radio resource management (RRM) algorithms. UMTS System Level SimulatorLUPUS is a tool for UMTS up-and downlink performance simulation at the system level. Performance of both dedicated channels (DCH, R99) and high speed channels (HS-DSCH, E-DCH) can be evaluated in terms of network capacity, user throughput, and transaction delay. The physical layer models include fast fading and multi-path propagation. The higher layer models include various applications, Transmission Control Protocol/Internet Pr...
This paper analyzes two analytical mobility models for their suitability to handover modeling and to the estimation of signaling cost. Some insufficiencies of the often employed Hong/Rappaport model are detected. Here, an infinite mean dwell time occurs which is not suitable for performance evaluation of mobile communications systems. Therefore, handover modeling is not possible. To prevent infinite dwell times, an universal condition for the velocity distribution is derived. The biased sampling formula of the velocity distribution fulfills our universal condition. Finally, the consequences of the biased sampling of the velocity for the signaling traffic are discussed for the modified Hong/Rappaport model and a highway model. In contrast to the analytical calculations without consideration of biased sampling, we detect a significant increase of signaling traffic. It is shown that the probability density function of the velocity of the boundary-crossing subscribers is given by the biased sampling formula. Thus, for handover modeling and the exact estimation of signaling traffic the biased sampling formula of the velocity has to be taken into account in analytical calculations in any case.
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