activity
20162020
most citedAdaptive Detection of Structured Signals in Low-Rank Interference

15 citations · 16 across the 9 of their papers we have counts for

collaborators

11 papers

cs.IT2020

Physical Layer Security for NOMA Transmission in mmWave Drone Networks

Yavuz Yapici, Nadisanka Rupasinghe, Ismail Guvenc +2

The non-orthogonal multiple access (NOMA) and millimeter-wave (mmWave) transmission enable the unmanned aerial vehicle (UAV) assisted wireless networks to provide broadband connect…

eess.SP2019

Energy Efficiency of RSMA and NOMA in Cellular-Connected mmWave UAV Networks

Ali Rahmati, Yavuz Yapıcı, Nadisanka Rupasinghe +3

Cellular-connected unmanned aerial vehicles (UAVs) are recently getting significant attention due to various practical use cases, e.g., surveillance, data gathering, purchase deliv…

cs.IT2018

Enhancing Physical Layer Security for NOMA Transmission in mmWave Drone Networks

Nadisanka Rupasinghe, Yavuz Yapici, Ismail Guvenc +2

Physical layer security (PLS) is critically important for emerging wireless communication networks to maintain the confidentiality of the information of legitimate users. In this p…

cs.IT2018★ 15 cited

Adaptive Detection of Structured Signals in Low-Rank Interference

Philip Schniter, Evan Byrne

In this paper, we consider the problem of detecting the presence (or absence) of an unknown but structured signal from the space-time outputs of an array under strong, non-white in…

cs.IT2018

Comparison of Limited Feedback Schemes for NOMA Transmission in mmWave Drone Networks

Nadisanka Rupasinghe, Yavuz Yapici, Ismail Guvenc +1

Introducing non-orthogonal multiple access (NOMA) transmission to an unmanned aerial vehicle (UAV) based communication network is a promising solution to enhance its spectral effic…

cs.IT2018

A Graph Theoretic Approach for Training Overhead Reduction in FDD Massive MIMO Systems

Nadisanka Rupasinghe, Yuichi Kakishima, Haralabos Papadopoulos +1

The overheads associated with feedback-based channel acquisition can greatly compromise the achievable rates of FDD based massive MIMO systems. Indeed, downlink (DL) training and u…