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Ahmadian, M., Teymouri, M. (2018). Blind Estimation of Number of Users in TDMA Networks Using Redundancy of Adaptive Channel Coding. Electronic and Cyber Defense, 6(2), 11-20.
Mortaza Ahmadian; Mahdi Teymouri. "Blind Estimation of Number of Users in TDMA Networks Using Redundancy of Adaptive Channel Coding". Electronic and Cyber Defense, 6, 2, 2018, 11-20.
Ahmadian, M., Teymouri, M. (2018). 'Blind Estimation of Number of Users in TDMA Networks Using Redundancy of Adaptive Channel Coding', Electronic and Cyber Defense, 6(2), pp. 11-20.
Ahmadian, M., Teymouri, M. Blind Estimation of Number of Users in TDMA Networks Using Redundancy of Adaptive Channel Coding. Electronic and Cyber Defense, 2018; 6(2): 11-20.

Blind Estimation of Number of Users in TDMA Networks Using Redundancy of Adaptive Channel Coding

پدافند الکترونیکی و سایبری
Article 2, Volume 6, Issue 2 - Serial Number 22, July 2018, Pages 11-20    PDF (969.52 K)
Document Type: Original Article
Authors
Mortaza Ahmadian; Mahdi Teymouri*
Receive Date: 15 October 2016,  Revise Date: 20 February 2019,  Accept Date: 19 September 2018 
Abstract
 A complete reverse engineering (or blind identification) in an electronic battlefield, determines the information conveyed by a received signal. Most of the research in the field of blind signal identification is around one-way and non-network communications in which the goal is to determine the information transmitted by a single transmitter. The first step of signal identification in communications networks is to determine the number of active users. In this paper, estimation of the number of users in a time-division multiple access (TDMA) network is considered. In order to estimate the number of users, a physical layer analysis can be applied to the received electromagnetic signals. However, due to some difficulties such as hardware limitations or closeness of active users, this method cannot always be employed. In these situations, a solution is to analyze the information in the upper layers of the network. In this paper, a method is proposed to estimate the number of active users using the redundant data generated by adaptive channel coding. Simulation results show that the proposed method is quite resistance against channel errors In fact, for signal to noise ratio of 7.3 dB, the accuracy of the proposed method is around 80%. .
Keywords
Blind estimation of number of users; TDMA networks; adaptive channel coding; machine learning
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