Soft handover gains in a fast power controlled WCDMA uplink

Sipilä, Kari; Jasberg, M.; Laiho-Steffens, J.; Wacker, A.

doi:10.1109/vetec.1999.780660

Cited by 35 publications

(14 citation statements)

References 2 publications

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“…In addition, it can be seen that the link-level results in [1], [2] and [6] also satisfy these assumptions, which provides further support of their claimed mildness.…”

Section: Resultssupporting

confidence: 57%

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System-Level Analysis of Closed-Loop Power Control in the Uplink of DS-CDMA Cellular Networks

Mendo¹,

Hernando²

2007

IEEE Trans. Wireless Commun.

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Abstract-A system-level model for power control in the uplink of direct-sequence code-division multiple access (DS-CDMA) cellular networks is presented. The model takes into account the effects of the closed loop, namely average transmit power rise, power headroom, and variable soft hand-off gains, which are not considered in existing power control models. The power control problem is analyzed in this setting, and a number of properties are derived which generalize results from the classical model without closed-loop effects. Based on this analysis, an algorithm is given that determines required transmit powers taking into account these effects. This algorithm is a generalization of classical iterative algorithms without closed-loop effects. Finally, simulation results are presented to assess the validity of the approach.

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“…In addition, it can be seen that the link-level results in [1], [2] and [6] also satisfy these assumptions, which provides further support of their claimed mildness.…”

Section: Resultssupporting

confidence: 57%

“…The simulation model in [9], which is further described in [10,Sec. 3.2], incorporates all mentioned short-term effects and provides an algorithm for computing required powers, but no analysis is made of the solutions to the power control problem or the convergence of the proposed algorithm 2 . The contribution of this paper is the following.…”

mentioning

confidence: 99%

System-Level Analysis of Closed-Loop Power Control in the Uplink of DS-CDMA Cellular Networks

Mendo¹,

Hernando²

2007

IEEE Trans. Wireless Commun.

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“…Soft Handover gives an additional macro diversity gain against fast fading by reducing the required E b /N 0 relative to a single radio link, because the fast fading is uncorrelated from the two transmit antennas [1], [9]. The gain is larger when there is less multipath diversity.…”

Section: B Micro Diversity Gainmentioning

confidence: 99%

Evaluation of Soft Handover Micro Diversity Gain on the UMTS System Capacity and QoS

Monserrat

Gómez-Barquero

Calabuig

et al. 2006

2006 IEEE 17th International Symposium on Personal, Indoor and Mobile Radio Communications

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In this paper the impact of the soft handover micro diversity gain on the UMTS system performance is investigated. First, by means of link layer simulations the micro diversity gain is measured in terms of reduction of the average E b /N 0 requirement. After modelling this effect, by some system level simulations we show the high influence of this usually neglected gain in the overall performance of UMTS, demonstrating that in downlink soft handover improves not only the quality of service but also the overall system capacity.

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“…Studies in References [5,7] optimized the soft-handover parameters with a gradient-descent minimization of a cost function that described blocking and total base station power. A more general study on soft-handover gains and their impact on WCDMA network performance was presented in Reference [34]. Study in Reference [8] presented adaptive power increase estimation in WCDMA using kernel regression.…”

Section: Previous Work On Wcdma Parameter Optimizationmentioning

confidence: 99%

Automated optimization of key WCDMA parameters

Hoglund

Valkealahti

2004

Wirel. Commun. Mob. Comput.

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SummaryThis paper validates the feasibility of automated optimization of key wideband code division multiple access (WCDMA) radio resource management parameters using control methods. The parameters are regularly adjusted in order to improve performance. The parameters examined in this study include the total cell transmission power target, the received total interference target, the downlink radio link power maximums, the handover windows and the pilot channel powers. The control was based on expert-defined rules, which applied specific trade-off policies and statistics of poor quality calls, blocking, packet queuing, power and interference levels and terminal measurements to qualify the parameter values. The approach was validated using a dynamic WCDMA system simulator with a deployment of macro and micro cells on a city region. Results on automated optimization of single parameters on cell level and results on simultaneous multi-parameter optimization on cell-cluster level are presented in this paper. The use of the automated parameter optimization methods was shown to result in a significant increase of capacity in comparison to the default parameter settings.

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Soft handover gains in a fast power controlled WCDMA uplink

Cited by 35 publications

References 2 publications

System-Level Analysis of Closed-Loop Power Control in the Uplink of DS-CDMA Cellular Networks

System-Level Analysis of Closed-Loop Power Control in the Uplink of DS-CDMA Cellular Networks

Evaluation of Soft Handover Micro Diversity Gain on the UMTS System Capacity and QoS

Automated optimization of key WCDMA parameters

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