A framework for load control in 3/sup rd/ generation CDMA networks

Muckenheim, J.; Bernhard, U.P.

doi:10.1109/glocom.2001.966379

Cited by 18 publications

(15 citation statements)

References 11 publications

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“…To describe and better understand this "soft limited" CDMA behavior, the concepts of system load and resource consumption are very useful (cf. [11]). …”

Section: Modeling Aspectsmentioning

confidence: 93%

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Intelligent management of radio resources in UMTS access networks

et al. 2003

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“…To describe and better understand this "soft limited" CDMA behavior, the concepts of system load and resource consumption are very useful (cf. [11]). …”

Section: Modeling Aspectsmentioning

confidence: 93%

“…A more thorough description of the algorithms and the theoretical background can be found in [11,13].…”

Section: Umts Load Control Performancementioning

confidence: 99%

Intelligent management of radio resources in UMTS access networks

et al. 2003

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“…The main uplink resource to be managed is the uplink interference. In the following, we will use the notation of uplink (UL) load as a percentage, which is given from the interference I 0 according to the following relation [9]:…”

Section: Interaction With Other Resource Management Algorithmsmentioning

confidence: 99%

Radio resource management in HSDPA and HSUPA

et al. 2007

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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...

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“…A network site is composed of several cells or sectors of which each operates the antenna concepts mentioned above. Power control is applied to all users in the network and load control is evaluated based on cell specific power rise analysis [3], [4]. A stepwise removal algorithm, where the strongest interfere is eliminated first [5], is applied throughout the network.…”

Section: Introductionmentioning

confidence: 99%

System capacity from UMTS smart antenna concepts

Schacht¹,

Dekorsy²,

Jung

2003

2003 IEEE 58th Vehicular Technology Conference. VTC 2003-Fall (IEEE Cat. No.03CH37484)

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Exploitation of the spatial dimension is a significant issue for third generation wireless networks. The main benefits expected are emission reduction and system capacity enhancements. There are several approaches to exploit the spatial dimension of the mobile channel. Concepts suggested are higher order sectorization (6 sector sites), fixed beam switching concepts (a number of fixed beams covers the area of a sector) and adaptive beamforming (user specific antenna patterns are evaluated). This paper documents the results of a system level investigation considering different antenna concepts when applying power control in UTRA FDD (UMTS Terrestrial Radio Access, Frequency Division Duplex) downlink. Furthermore, load control algorithms based on power rise evaluation and user elimination applying a stepwise removal algorithm are also taken into account. Simulations have been carried out for different data services utilizing dedicated channels. The investigations were accomplished within 3GPP-UMTS boundary conditions.

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A framework for load control in 3/sup rd/ generation CDMA networks

Cited by 18 publications

References 11 publications

Intelligent management of radio resources in UMTS access networks

Intelligent management of radio resources in UMTS access networks

Radio resource management in HSDPA and HSUPA

System capacity from UMTS smart antenna concepts

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