scispace - formally typeset
V

Vijayvaradharaj T. Muralidharan

Researcher at Indian Institute of Science

Publications -  39
Citations -  392

Vijayvaradharaj T. Muralidharan is an academic researcher from Indian Institute of Science. The author has contributed to research in topics: Linear network coding & Relay. The author has an hindex of 11, co-authored 39 publications receiving 385 citations. Previous affiliations of Vijayvaradharaj T. Muralidharan include Qualcomm.

Papers
More filters
Journal ArticleDOI

Wireless Network-Coded Bidirectional Relaying Using Latin Squares for $M$ -PSK Modulation

TL;DR: It is shown that the complex plane can be partitioned into two regions: a region in which any network coding map which satisfies the exclusive law gives the same best performance and a regions in which the choice of the network coding maps affects the performance.
Proceedings ArticleDOI

Wireless bidirectional relaying and Latin Squares

TL;DR: In this article, the authors considered the design of modulation schemes for the physical layer network-coded two-way relaying scenario with the protocol which employs two phases: multiple access (MA) Phase and broadcast (BC) Phase.
Journal ArticleDOI

Performance Analysis of Adaptive Physical Layer Network Coding for Wireless Two-Way Relaying

TL;DR: It is shown that adaptive network coding provides a coding gain over fixed network coding, by making the error probabilities associated with the removable singular fade states contributing to the average Symbol Error Rate (SER) fall asSNR-2 instead of SNR-1, for a Rician fading scenario, which is found to be tight through simulations.
Posted Content

Performance Analysis of Adaptive Physical Layer Network Coding for Wireless Two-way Relaying

TL;DR: An upper bound on the average end-to-end Symbol Error Rate (SER) is derived, with and without adaptive network coding at the relay, for a Rician fading scenario and it is shown that for large Rician factors, among those removable singular fade states, those which have the least absolute value of the phase angle alone contribute dominantly to the end- to-end SER.
Posted Content

Channel Quantization for Physical Layer Network-Coded Two-Way Relaying

TL;DR: In this paper, a quantization of the set of all possible channel realizations analytically for the case when $M$-PSK (for any power of 2) is the signal set used during the MA phase is obtained.