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Vimal Bhatia

Researcher at Indian Institute of Technology Indore

Publications -  351
Citations -  3214

Vimal Bhatia is an academic researcher from Indian Institute of Technology Indore. The author has contributed to research in topics: Computer science & Bit error rate. The author has an hindex of 21, co-authored 302 publications receiving 2053 citations. Previous affiliations of Vimal Bhatia include Netaji Subhas Institute of Technology & Indian Institute of Technology Delhi.

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Mitigating NLD for Wireless Networks: Effect of Nonlinear Power Amplifiers on Future Wireless Communication Networks

TL;DR: In present and future communication systems, the power amplifier is a key component at the transmitter, which leads to nonlinear distortion (NLD), which is expected to increase in future fifth-generation (5G) communication networks, due to the use of large bandwidth at millimeter-wave (mmW) frequencies.
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ASER Analysis of Hexagonal and Rectangular QAM Schemes in Multiple-Relay Networks

TL;DR: Analytical lower bound expressions of average symbol error rate (ASER) for general-order hexagonal quadrature amplitude modulation (QAM) and rectangular QAM and RQAM schemes are derived for multiple amplify-and-forward relay networks over independent and nonidentically distributed Nakagami-type fading channels with an integer-valued fading parameter using a well-known cumulative-distribution-function-based approach.
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On the Performance Analysis of Higher Order QAM Schemes Over Mixed RF/FSO Systems

TL;DR: A detailed comparative study of various modulation schemes is presented and the impact of pointing error, atmospheric turbulence, outdated CSI, and Nakagami-m parameter are highlighted on the system performance.
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6G for Bridging the Digital Divide: Wireless Connectivity to Remote Areas

TL;DR: In this paper, the key challenges associated with constraints on network design and deployment to be addressed for providing broadband connectivity to rural areas, and proposes novel approaches and solutions for bridging the digital divide in those regions.
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Congestion control based ant colony optimization algorithm for large MIMO detection

TL;DR: A congestion control based ant colony optimization (CC-ACO) algorithm for large MIMO detection is proposed and the robustness of the proposed algorithm under channel state information (CSI) estimation error is discussed.