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Aashish Mathur

Researcher at Indian Institute of Technology, Jodhpur

Publications -  42
Citations -  811

Aashish Mathur is an academic researcher from Indian Institute of Technology, Jodhpur. The author has contributed to research in topics: Fading & Bit error rate. The author has an hindex of 12, co-authored 35 publications receiving 512 citations. Previous affiliations of Aashish Mathur include Birla Institute of Technology and Science & Indian Institutes of Technology.

Papers
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Proceedings ArticleDOI

Performance of a dual-hop wireless-powerline mixed cooperative system

TL;DR: This paper provides the performance evaluation of a decode-and-forward based dual-hop wireless-powerline mixed cooperative system in terms of analytical average bit error rate (BER); the fading in the wireless channel is modeled by the Nakagami-m distribution while that in the PLC channel is modeling using the Log-Normal distribution.
Journal ArticleDOI

Effective Throughput Analysis of α - η - κ - μ Fading Channels

TL;DR: It is found that the effective throughput improves with the increase of channel nonlinearity and number of multipath clusters, and the high-SNR slope is only dependent on the channel non linearity and the number of multiclass clusters present in the physical channel.
Journal ArticleDOI

On the Performance of a PLC System Assuming Differential Binary Phase Shift Keying

TL;DR: This letter provides the performance evaluation of a PLC system assuming DBPSK modulation under the combined effect of Nakagami-m background noise and impulsive noise and utilizes a simple, yet accurate approximation available in literature to derive the probability density function of the sum of two NakagAMI-m random variables.
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Artificial Noise Injection–Based Secrecy Improvement for FSO Systems

TL;DR: In this paper, an artificial noise injection technique is incorporated in a free-space optical (FSO) communication system with the aim of enhancing the secrecy performance of the system, and an optimal power allocation strategy for throughput maximization in the considered system is discussed.
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Signal Space Diversity-Based Distributed RIS-Aided Dual-Hop Mixed RF-FSO Systems

TL;DR: Numerical results show that using the SSD technique at both the RF and FSO links significantly improves the spectral efficiency and the diversity order of the system considered.