no code implementations • 1 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.
no code implementations • 28 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).
no code implementations • 19 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
no code implementations • 3 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.
no code implementations • 20 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.