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Anand Agrawal

Researcher at Indian Institutes of Information Technology

Publications -  21
Citations -  73

Anand Agrawal is an academic researcher from Indian Institutes of Information Technology. The author has contributed to research in topics: Bit error rate & MIMO. The author has an hindex of 4, co-authored 20 publications receiving 45 citations. Previous affiliations of Anand Agrawal include Indian Institute of Technology Guwahati & KIIT University.

Papers
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Performance analysis of spatial modulation over generalized α−κ−μ fading distribution

TL;DR: A moment generating function (MGF) based mathematical expression is derived to compute bit error rate (BER) for spatial modulation (SM) system over generalized α − κ − μ fading channel distribution.
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Performance analysis of beamforming aided uncorrelated mm-Wave MIMO system for IEEE 802.15.3c standard

TL;DR: This paper derives analytically tractable bit error rate (BER) for the analog beamforming aided mm-wave communication system over the modified IEEE 802.15.3c channel model, which takes into account the impact of the Rake receivers, which are used to capture the signal energy carried by the multipath components.
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Transmit Antenna Selection in the Cooperative Communication Based UWB System

TL;DR: An expression of the average bit error rate (ABER) of the relay assisted two-hop ultra-wideband (UWB) communication system over IEEE 802.15.3a channel model is derived and the derived ABER is well matched to the simulation.
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Analysis of UWB communication over IEEE 802.15.3a channel by superseding lognormal shadowing by Mixture of Gamma distributions

TL;DR: In this article, the bit error rate (BER) of the ultra wide band (UWB) wireless communication system over IEEE 802.15.3a channel model was calculated by superseding the lognormal (LN) shadow fading distribution to the Mixture of Gamma (MG) distributions.
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Vision-based outdoor navigation of self-driving car using lane detection

TL;DR: A self-driving car physical prototype based on traditional visual method of lane keeping, implemented on Raspberry Pi is proposed which is capable of maneuvering on various kind of tracks autonomously.