Low Complexity Sparse Channel Estimation Based on Compressed Sensing

Zhou, Fei; Su, Yantao; Fan, Xinyue

doi:10.12928/telkomnika.v14i2.3147

Cited by 2 publications

(2 citation statements)

References 17 publications

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“…The structural complexity is the constructional complexity. It is different from computational complexity that discusses the time and memory space required by a computational process [3].…”

Section: Introductionmentioning

confidence: 99%

The Structural Complexity of Various Elements of Systems

et al. 2022

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This paper is aimed to describe the structural complexity of the traffic light control system. The structural complexity represents an interrelationship indicator between the various elements functions. The traffic light control system has several additional features that are synchronized to the railway doorstop, and the time interval for the green signals is expanded. For determining the method of its structural complexity, the Petri net model is used. Three kinds of traffic lights models are explored, namely standard, Norwegian, and the Norwegian improvement. The study results indicate that the Norwegian traffic lights have the most complex structure when regular implementation. The runner up is the Norwegian improvement. The most ideal is the standard traffic lights. Norwegian improvement is the most ideal when integrated with the railway doorstop and implemented extra green signals time interval. The Norwegian traffic light is the second. The standard traffic lights structural complexity fluctuates. It means that the Norwegian traffic light and its improvement are suitably used. Adding several features improve the structural complexity approaching the ideal system while extra controllers accompany each element. HIGHLIGHTS The Petri net model can represent the structural complexity of a system The method that can measure the structural complexity becomes ideal for actual implementation The Norwegian traffic lights structural complexities and improvements are ideal for the systems synchronized to the railway and appropriate for systems using the extra green signal time intervals or other additional features GRAPHICAL ABSTRACT

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“…The structural complexity is the constructional complexity. It is different from computational complexity that discusses the time and memory space required by a computational process [3].…”

Section: Introductionmentioning

confidence: 99%

The Structural Complexity of Various Elements of Systems

et al. 2022

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“…The spectrum sensing technique [7], [8] has been widely used to predict the presence of a Primary Base Station through the estimation of Received Signal Strength Indication (RSSI) at UEs. And in the literature, the RSSI measurement has been also taking into account to estimate the handover decision [9].…”

Section: Introductionmentioning

confidence: 99%

Spectrum Sensing with VSS-NLMS Process in Femto/Macro-cell Environments

Irid

Hachemi

Adardour

et al. 2018

IJECE

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<p>Handover is a process that allows a mobile node to change its attachment point. A mobile node connected to a network can, in order to improve the quality of service, have the need to leave it to connect to a cell either of the same network or of a new network. The present paper introduce three techniques using adaptive Variable Step-Size Least Mean Square (VSSLMS) filter combined with spectrum sensing probability method to detect the triggering of handover in heterogeneous LTE networks. These techniques are Normalized LMS (NLMS), Kwong-NLMS and Li-NLMS. The simulation environment is composed of two femtocells belonging to a macrocell. Five User Equipements (UEs) are positioned in one femtocell and are assumed closest to its circumference. Simulation results show that sensing probability with Li-NLMS algorithm has a better performance compared with classical NLMS and Kwong-NLMS.</p>

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Low Complexity Sparse Channel Estimation Based on Compressed Sensing

Abstract: Abstract

Cited by 2 publications

References 17 publications

The Structural Complexity of Various Elements of Systems

The Structural Complexity of Various Elements of Systems

Spectrum Sensing with VSS-NLMS Process in Femto/Macro-cell Environments

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