Experimental results of outer-loop transmission power control using wideband-CDMA for IMT-2000

Niida, Sumaru; Suzuki, Toshinori; Takeuchi, Yoshio

doi:10.1109/vetecs.2000.851230

Cited by 7 publications

(2 citation statements)

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“…The authors of this paper use a DKF for filtering the asynchronous arrival of information and for deciding on the optimal amount of node information to be stored in the cluster heads in mobile WSNs. TPC has been used in CDMA networks [5] for overcoming near-far problems and noise interference. It has also been used in GSM networks [6] where the power control is done at the mobile end with the guidance of the base station.…”

Section: Related Workmentioning

confidence: 99%

Transmission power control using state estimation-based received signal strength prediction for energy efficiency in wireless sensor networks

Sabitha¹,

Bhuma²,

Thyagarajan³

2017

Turk J Elec Eng & Comp Sci

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Abstract:In battery-operated wireless sensor networks, the quality of service requirements such as throughput and energy efficiency must be stringently maintained while the least amount of energy is consumed. Since a major portion of energy is spent by the transceiver operations, transmission power control (TPC) in the medium access control (MAC) layer can bring about considerable energy efficiency. Since TPC algorithms will have a direct impact on the received signal strength index (RSSI) at the receiver, RSSI is the primary input parameter for any TPC algorithm. The objective of the proposed work is to decide on the exact value of transmission power required for the next transmission that will ensure an RSSI just above the threshold level at the receiver. Since this involves estimation of RSSI for the next transmission, we propose three state estimation techniques, namely Kalman filter (KF), extended KF (EKF), and unscented KF (UKF) to predict the RSSI accurately. This predicted value is used as an input for an artificial neural network (ANN)-based TPC algorithm. The effectiveness of the estimation techniques is verified by the prediction error. The accuracy of prediction is reflected in the TPC algorithm in terms of reduced power utilization.

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Section: Related Workmentioning

confidence: 99%

Transmission power control using state estimation-based received signal strength prediction for energy efficiency in wireless sensor networks

Sabitha¹,

Bhuma²,

Thyagarajan³

2017

Turk J Elec Eng & Comp Sci

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“…One approach, implemented in several systems, (Sampath et al, 1997) increases the SIR reference significantly when an erroneous block is discovered, and decreases the SIR reference when an error-free block is received. Niida et al (2000) provides experimental results of outer loop power control using this method.…”

Section: Outer Loopmentioning

confidence: 99%

Power Control in Wireless Communications Networks - From a Control Theory Perspective

Gunnarsson

Gustafsson

2002

IFAC Proceedings Volumes

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The global communications systems critically rely on control algorithms of various kinds. In wireless communications systems, power control algorithms play an important role for efficient resource utilization. This survey article discusses relevant aspects of power control with emphasis on practical issues, using an automatic control framework. Generally, power control of each connection is distributedly implemented as cascade control, with an inner loop to compensate for fast variations and an outer loop focusing on longer term statistics. These control loops are interrelated via complex connections, which affect important issues such as capacity, load and stability. Therefore, both local and global properties are important. The concepts and algorithms are illustrated by simple examples and simulations. Abstract: The global communications systems critically rely on control algorithms of various kinds. In wireless communications systems, power control algorithms play an important role for efficient resource utilization. This survey article discusses relevant aspects of power control with emphasis on practical issues, using an automatic control framework. Generally, power control of each connection is distributedly implemented as cascade control, with an inner loop to compensate for fast variations and an outer loop focusing on longer term statistics. These control loops are interrelated via complex connections, which affect important issues such as capacity, load and stability. Therefore, both local and global properties are important. The concepts and algorithms are illustrated by simple examples and simulations.

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Control theory aspects of power control in UMTS

Gunnarsson

2003

Control Engineering Practice

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Experimental results of outer-loop transmission power control using wideband-CDMA for IMT-2000

Cited by 7 publications

References 1 publication

Transmission power control using state estimation-based received signal strength prediction for energy efficiency in wireless sensor networks

Transmission power control using state estimation-based received signal strength prediction for energy efficiency in wireless sensor networks

Power Control in Wireless Communications Networks - From a Control Theory Perspective

Control theory aspects of power control in UMTS

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