Search Results for author: Muralikrishnan Srinivasan

Found 5 papers, 0 papers with code

Smart Channel State Information Pre-processing for Joint Authentication and Secret Key Distillation

no code implementations1 Jun 2022 Muralikrishnan Srinivasan, Sotiris Skaperas, Arsenia Chorti, Mahdi Shakiba Herfeh, Muhammad K. Shehzad, Philippe Sehier

In this paper, starting from the observation that the wireless channel is a composite, deterministic / stochastic process, we propose a power domain decomposition that allows performing the two tasks simultaneously.

On the Use of CSI for the Generation of RF Fingerprints and Secret Keys

no code implementations28 Oct 2021 Muralikrishnan Srinivasan, Sotiris Skaperas, Arsenia Chorti

This paper presents a systematic approach to use channel state information for authentication and secret key distillation for physical layer security (PLS).

Outage Probability Analysis of Uplink Cell-Free Massive MIMO Network with and without Pilot Contamination

no code implementations19 Jan 2021 Shashank Shekhar, Muralikrishnan Srinivasan, Sheetal Kalyani

The signal-to-interference-plus-noise ratio (SINR) of the CF-mMIMO system is approximated via a Log-normal distribution using a two-step moment matching method.

Dimensionality Reduction Information Theory Information Theory

Airplane-Aided Integrated Next-Generation Networking

no code implementations3 Jan 2021 Muralikrishnan Srinivasan, Sarath Gopi, Sheetal Kalyani, Xiaojing Huang, Lajos Hanzo

A high-rate yet low-cost air-to-ground (A2G) communication backbone is conceived for integrating the space and terrestrial network by harnessing the opportunistic assistance of the passenger planes or high altitude platforms (HAPs) as mobile base stations (BSs) and millimetre wave communication.

Green DetNet: Computation and Memory efficient DetNet using Smart Compression and Training

no code implementations20 Mar 2020 Nancy Nayak, Thulasi Tholeti, Muralikrishnan Srinivasan, Sheetal Kalyani

This paper introduces an incremental training framework for compressing popular Deep Neural Network (DNN) based unfolded multiple-input-multiple-output (MIMO) detection algorithms like DetNet.

Cannot find the paper you are looking for? You can Submit a new open access paper.