Institution
Indian Institute of Technology Indore
Education•Indore, Madhya Pradesh, India•
About: Indian Institute of Technology Indore is a education organization based out in Indore, Madhya Pradesh, India. It is known for research contribution in the topics: Computer science & Chemistry. The organization has 1606 authors who have published 4803 publications receiving 66500 citations.
Topics: Computer science, Chemistry, Catalysis, Fading, Raman spectroscopy
Papers published on a yearly basis
Papers
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TL;DR: In this paper, a dinuclear Au(I)-diacetylide complex (1) has been synthesized in which two Au (I) units are attached at 9,10- positions of ethynyl anthracene moiety.
29 citations
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TL;DR: In this article, a precursor's concentration dependent surface morphologies of NiO nanopetals (NPs) have been studied for designing application-specific nanomaterials by hydrothermal technique.
29 citations
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04 Jun 2017TL;DR: To strengthen the system security against wiretapping attack, amplify-and-forward (AF) based optimal and partial relay selection schemes to minimize the secrecy outage probability (SOP) are presented.
Abstract: In this paper, we investigate the secrecy performance of a hybrid satellite-terrestrial relay network, where a satellite communicates with a terrestrial destination via multiple relays in the presence of eavesdropper. Particularly, to strengthen the system security against wiretapping attack, we present amplify-and-forward (AF) based optimal and partial relay selection schemes to minimize the secrecy outage probability (SOP). Hereby, the optimal scheme depends on both main and wiretapper links, while the partial scheme relies only on the legitimate terrestrial links. We derive the SOP expressions for both schemes by considering Shadowed-Rician fading for satellite channels and Nakagami-m fading for terrestrial channels. We further simplify these expressions at asymptotic high signal-to-noise ratio (SNR) and main-to-eavesdropper ratio (MER) regime to reveal useful insights on achievable diversity gains. Finally, the theoretical analysis is validated through Monte-Carlo simulations.
29 citations
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TL;DR: Non-orthogonal multiple access (NOMA) is employed in an heterogeneous cellular network consisting of a macro base station (MBS) tier underlaid with femto base station [FBS] tier and device-to-device (D2D) tier, where NOMA isemployed in FBS and D2D tier only.
Abstract: Rapid increase in number of cellular users and high demand for data has lead to the formation of multi-tier networks. Non-orthogonal multiple access (NOMA) has proved to be an efficient method to cater to the paradigm shift from 4G to 5G. This paper employs NOMA in an heterogeneous cellular network consisting of a macro base station (MBS) tier underlaid with femto base station (FBS) tier and device-to-device (D2D) tier, where NOMA is employed in FBS and D2D tier only. The congestion at the MBS tier is relieved by offloading macro users (MU) to the FBS tier. The offloaded MU are further supported by the D2D tier when the FBS tier fails to find a corresponding pairing user for the incoming offloaded MU. Since, absence of pairing user means outage for offloaded MU, D2D cooperation is employed, which decreases the rate outage probability by $86.87\%$ for the MU offloaded as cell edge user (CEU) in comparison to no cooperation. Also, a three times increase in ergodic rate and four times increase in sum ergodic rate for MU offloaded as CEU is achieved using cooperation from D2D tier. Verification of the results is done using Monte Carlo simulations.
29 citations
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TL;DR: In this paper, the response of the ionosphere during the intense geomagnetic storms of October 12-20, 2016 and May 26-31, 2017 which occurred during the declining phase of the solar cycle 24.
29 citations
Authors
Showing all 1738 results
Name | H-index | Papers | Citations |
---|---|---|---|
Raghunath Sahoo | 106 | 556 | 37588 |
Biswajeet Pradhan | 98 | 735 | 32900 |
A. Kumar | 96 | 505 | 33973 |
Franco Meddi | 84 | 476 | 24084 |
Manish Sharma | 82 | 1407 | 33361 |
Anindya Roy | 59 | 301 | 14306 |
Krishna R. Reddy | 58 | 400 | 11076 |
Sudipan De | 54 | 99 | 10774 |
Sudip Chakraborty | 51 | 343 | 9319 |
Shaikh M. Mobin | 51 | 515 | 11467 |
Ashok Kumar | 50 | 405 | 10001 |
Ankhi Roy | 49 | 259 | 8634 |
Aditya Nath Mishra | 49 | 139 | 7607 |
Ram Bilas Pachori | 48 | 182 | 8140 |
Pragati Sahoo | 47 | 133 | 6535 |