A simple adaptive up-link power control algorithm for DS/CDMA system

Ye, F.; Zhang, Q.T.; Ko, Chin-Chung

doi:10.1109/eurcom.2000.874762

Cited by 6 publications

(3 citation statements)

References 6 publications

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“…PC algorithm falls into two categories: received power strength based and SIR based. Since CDMA systems are interference limited, much work concentrates on the SIR as a measure to control MS powers [3][4][5]. However, SIR based PC is associated with two major drawbacks.…”

Section: Introductionmentioning

confidence: 99%

Reverse link power control of DS-CDMA on multi-path fading and additive white Gaussian noise by using fuzzy and neuro-fuzzy controller

Wongsathan

Wansom

2008

2008 International Conference on Control, Automation and Systems

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This paper presents the Direct Sequence-Code Division Multiple Access (DS-CDMA) model and the algorithm to control the reverse link closed loop power of DS-CDMA cellular system by using the fuzzy controller (FC) and neuro-fuzzy controller (NFC). The controller's parameters of these methods are selected and adjusted by Genetic Algorithms (GAs). The controller's inputs are the error between the signal strength of each mobile station and signal strength target (P*) at base station, and the difference of this error. The controller's output is the increasing or decreasing power. Both controllers were then tested to control DS-CDMA model which designed both the synchronous and asynchronous transmission. In the test, M and Gold sequence code used in spread spectrum were utilized under multi-path fading with AWGN. The experimental results by comparing the operation characteristic of the designed and implement FC and NFC show that the NFC gives the power level closed to the target and a lower outage probability.

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Section: Introductionmentioning

confidence: 99%

Reverse link power control of DS-CDMA on multi-path fading and additive white Gaussian noise by using fuzzy and neuro-fuzzy controller

Wongsathan

Wansom

2008

2008 International Conference on Control, Automation and Systems

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“…Since CDMA systems are interference limited, much work concentrates on the SIR as a measure to control MS powers [3][4][5]. However, SIR based PC is associated with two major drawbacks.…”

Section: Introductionmentioning

confidence: 99%

Neuro-fuzzy controller for reverse link power control of DS-CDMA system over multi-path fading

Wongsathan

2008

2008 10th International Conference on Control, Automation, Robotics and Vision

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This paper presents the Direct Sequence-Code Division Multiple Access (DS-CDMA) model and the algorithm to control the reverse link closed loop power of DS-CDMA cellular system by using the Neuro-Fuzzy Controller (NFC). The controller's parameters of this method are selected and adjusted by Genetic Algorithms (GAs). The controller's inputs are the error between the signal strength of each mobile station and signal strength target (P*) at base station, and the difference of this error. The controller's output is the increasing or decreasing power. The NFC was then tested to control DS-CDMA model which designed synchronous transmission. In the test, M sequence code used in spread spectrum was utilized under multipath fading. The experimental results by comparing the operation characteristic of the designed and implement NFC with fuzzy controller (FC) and IS-95 controller show that the NFC gives the power level closed to the target and a lower outage probability.

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“…In order to maximize capacity and quality of service (QoS), all mobile station (MS) transmissions should be received at the base station (BS) with equal power [1,2]. Since CDMA systems are interference limited, much work concentrates on the signal to interference ratio as a measure to control MS powers [3][4][5][6]. In theory, assuming perfect knowledge of the SIR, SIR based PC outperforms signal strength based PC.…”

Section: Introductionmentioning

confidence: 99%

Linear quadratic power control for CDMA systems

Anderson,

White

2003

JTIT

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In this paper, we present a robust decentralized method for jointly performing channel estimation and closed loop power control for the reverse link of CDMA networks. Our method, based on linear quadratic Gaussian (LQG) control systems theory and Kalman filtering, does not require any training symbols for channel or signal to interference ratio (SIR) estimation. The main interest of this new scheme is that it improves the performance of current SIR based power control techniques while avoiding the problem of power escalation, which is often observed in current systems.

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A simple adaptive up-link power control algorithm for DS/CDMA system

Cited by 6 publications

References 6 publications

Reverse link power control of DS-CDMA on multi-path fading and additive white Gaussian noise by using fuzzy and neuro-fuzzy controller

Reverse link power control of DS-CDMA on multi-path fading and additive white Gaussian noise by using fuzzy and neuro-fuzzy controller

Neuro-fuzzy controller for reverse link power control of DS-CDMA system over multi-path fading

Linear quadratic power control for CDMA systems

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