Efficient cost function evaluation for WCDMA network optimization

Nawrocki, M.J.; Słobodzian, Piotr

doi:10.1049/cp:20030371

Cited by 2 publications

(3 citation statements)

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“…Each CDMA network can be described by a system of linear equations with a cell transmit power as the unknown [2,8,9]. A cellular CDMA network operating in the downlink and consisting of m cells can hence be described at a given instant of time as: (1).…”

Section: Ptimization Ismentioning

confidence: 99%

On Cost Function Analysis for Antenna Optimisation in UMTS Networks

Nawrocki

Döhler²,

Aghvami³

2005 IEEE 16th International Symposium on Personal, Indoor and Mobile Radio Communications

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The paper presents a detailed an: properties of the cost function vital to WCDMA i optimization. The cost function for the downlin selected and analyzed numerically for three i small network layouts and antenna orientatio (azimuth and tilt). The analysis includes local m their distribution and their attraction regioi obtained results, several notable conclusions a solutions for network configuration are made as directives for proper optimisation algorithm desi, eywords cost nct on, opt m sat on, t It, antenna a m t

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Section: Ptimization Ismentioning

confidence: 99%

On Cost Function Analysis for Antenna Optimisation in UMTS Networks

Nawrocki

Döhler²,

Aghvami³

2005 IEEE 16th International Symposium on Personal, Indoor and Mobile Radio Communications

Self Cite

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“…For the traditional antennas the system of K unknowns can be shrunk to a square system of order m. This is particularly noteworthy with respect to an overall computational cost. This approach has been discussed in [4], [5].…”

Section: B Dimension Reductionmentioning

confidence: 99%

“…This implies the use of numerical methods for computations of transmit powers. Computing these powers is the most computationally intensive task in the overall optimization problem [5]; thus, finding proper (fast) methods seems to be crucial and required.…”

Section: Introductionmentioning

confidence: 99%

Application of Linear Solvers to UMTS Network Optimization without and with Smart Antennas

Zdunek

Nawrocki

Döhler³

et al.

2005 IEEE 16th International Symposium on Personal, Indoor and Mobile Radio Communications

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The paper presents a brief survey of the methods for solving systems of linear equations (linear solvers), which could be useful in application to WCDMA network optimization. The methods are scored with respect to their computational cost when base stations are equipped with traditional antennas as well as with smart antennas. Preconditioning in the Conjugate Gradient Square (CGS) method is discussed. We also analyze the technique, which without any loss of accuracy, may reduce dimensions of the power control problem in a multi-service network but is liniited only to traditional antennas the smart antenna case must be solved with conventional solver. Theoretical considerations are confirmed experimentally. eywords I near sol ers, network opt m at on, MT, smart antenna

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Efficient cost function evaluation for WCDMA network optimization

Cited by 2 publications

References 0 publications

On Cost Function Analysis for Antenna Optimisation in UMTS Networks

On Cost Function Analysis for Antenna Optimisation in UMTS Networks

Application of Linear Solvers to UMTS Network Optimization without and with Smart Antennas

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