372 citations · 668 across the 11 of their papers we have counts for
11 papers · 1 filter
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…
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…
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…
Non-Orthogonal Multiple Access for mmWave Drone Networks with Limited Feedback
Nadisanka Rupasinghe, Yavuz Yapici, Ismail Guvenc +1
Unmanned aerial vehicle (UAV) base stations (BSs) can be a promising solution to provide connectivity and quality of service (QoS) guarantees during temporary events and after disa…
Non-Orthogonal Multiple Access for mmWave Drones with Multi-Antenna Transmission
Nadisanka Rupasinghe, Yavuz Yapici, Ismail Guvenc +1
Unmanned aerial vehicles (UAVs) can be deployed as aerial base stations (BSs) for rapid establishment of communication networks during temporary events and after disasters. Since U…
A MAP-Based Layered Detection Algorithm and Outage Analysis over MIMO Channels
Yavuz Yapici, Ismail Guvenc, Yuichi Kakishima
Efficient symbol detection algorithms carry critical importance for achieving the spatial multiplexing gains promised by multi-input multi-output (MIMO) systems. In this paper, we…
System-Level Performance of mmWave Cellular Networks for Urban Micro Environments
Nadisanka Rupasinghe, Yuichi Kakishima, Ismail Guvenc
In this paper, we investigate the propagation coupling loss (captures all sources of attenuation between serving cell and mobile station (MS)) and geometry metric (GM) (downlink av…
Indoor 5G 3GPP-like Channel Models for Office and Shopping Mall Environments
Katsuyuki Haneda, Lei Tian, Henrik Asplund +25
Future mobile communications systems are likely to be very different to those of today with new service innovations driven by increasing data traffic demand, increasing processing…
5G 3GPP-like Channel Models for Outdoor Urban Microcellular and Macrocellular Environments
Katsuyuki Haneda, Lei Tian, Yi Zheng +26
For the development of new 5G systems to operate in bands up to 100 GHz, there is a need for accurate radio propagation models at these bands that currently are not addressed by ex…
3D Channel Model in 3GPP
Bishwarup Mondal, Timothy A. Thomas, Eugene Visotsky +9
Multi-antenna techniques capable of exploiting the elevation dimension are anticipated to be an important air-interface enhancement targeted to handle the expected growth in mobile…
Joint Channel Direction Information Quantization For Spatially Correlated 3D MIMO Channels
Fang Yuan, Chenyang Yang, Yang Song +3
This paper proposes a codebook for jointly quantizing channel direction information (CDI) of spatially correlated three-dimensional (3D) multi-input-multi-output (MIMO) channels. T…