Estimating the number of users in TDMA networks based on redundancy of adaptive channel coding

Blind identification of protocols in wireless communication networks is a critical subject in non-cooperative context. In this paper, a novel method is proposed to estimate the number of active users (NoAU) in wireless time division multiple access (TDMA) networks based on the redundancy of adaptive...

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Vydané v:Digital signal processing Ročník 75; s. 1 - 12
Hlavní autori: Teimouri, Mehdi, Ahmadiyan, Seyed Morteza
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Elsevier Inc 01.04.2018
Predmet:
Adaptive coding
Decision trees
Estimating number of active users
Machine learning
Time division multiple access
Time division multiple access
Decision trees
Estimating number of active users
Machine learning
Adaptive coding
ISSN:1051-2004, 1095-4333
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Popis
Shrnutí:Blind identification of protocols in wireless communication networks is a critical subject in non-cooperative context. In this paper, a novel method is proposed to estimate the number of active users (NoAU) in wireless time division multiple access (TDMA) networks based on the redundancy of adaptive channel coding. The proposed method, which is based on decision trees and machine learning, can also be used in adaptive coding systems to identify the number of distinct code rates employed by a single transmitter. Simulation results show that the proposed method can estimate the number of codes with accuracy around 99% in noiseless situation. Moreover, for noisy environments, reasonable accuracies compared to naïve methods are obtained. •A novel method is proposed to estimate the number of active users in wireless TDMA networks.•The method works based on the redundancy of adaptive channel coding.•The idea is to extract some features correlated to the number of users from the received data stream.
ISSN:1051-2004
1095-4333
DOI:10.1016/j.dsp.2017.12.006