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Rahul Makkar

Researcher at LNM Institute of Information Technology

Publications -  16
Citations -  18

Rahul Makkar is an academic researcher from LNM Institute of Information Technology. The author has contributed to research in topics: Computer science & Telecommunications link. The author has an hindex of 1, co-authored 8 publications receiving 4 citations.

Papers
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Proceedings ArticleDOI

Performance analysis of non‐orthogonal multiple access assisted cooperative maritime communication system over two‐wave with diffuse power fading

TL;DR: Novel exact and asymptotic closed‐form expressions of average symbol error probability (ASEP) of NOMA users for cooperative maritime communication systems over TWDP fading with the different modulations are proposed.
Proceedings ArticleDOI

Performance of Downlink SISO NR System using MMSE-IRC Receiver

TL;DR: It is observed that MMSE-IRC receiver successfully mitigates the interferences compared to only MMSE based receiver and simulation results also show performance improvement over various parameters like sum-rate, interference mitigation and BER compared to prior technologies i.e. 4G-LTE, WiMAX, etc.
Proceedings ArticleDOI

Performance of M-QAM Scheme over TWDP Fading for Multiple Receive Antennas System

TL;DR: In this article, the closed form expression for the exact average symbol error rate (ASER) was derived for a selective decode-and-forward (DF) relay system with multiple receive antennas at the relay and the destination node.
Proceedings ArticleDOI

Low Complexity Based QR-LRL OSIC Detector for Downlink NOMA-MIMO Systems

TL;DR: In this paper, the authors proposed low-complexity based QR-LRL detector to overcome jointly the interuser interference and interantenna interference for NOMA-MIMO downlink systems.
Journal ArticleDOI

Dual-mode index modulation based OFDM system over NOMA networks

TL;DR: The simulation results for the proposed method validates the improvement in SE compared to conventional method over different modulation order and the computational complexity is presented for proposed and existing OFDM-IM NOMA technique using both ML and LLR detectors.