On the spectral efficiency of full-duplex small cell wireless systems

D Nguyen, LN Tran, P Pirinen… - IEEE Transactions on …, 2014 - ieeexplore.ieee.org
We investigate the spectral efficiency of full-duplex small cell wireless systems, in which a
full-duplex capable base station (BS) is designed to send/receive data to/from multiple half …

Energy efficient beamforming in MISO heterogeneous cellular networks with wireless information and power transfer

M Sheng, L Wang, X Wang, Y Zhang… - IEEE Journal on …, 2016 - ieeexplore.ieee.org
The advent of simultaneous wireless information and power transfer (SWIPT) offers a
promising approach to providing cost-effective and perpetual power supplies for energy …

Joint information and jamming beamforming for secrecy rate maximization in cognitive radio networks

VD Nguyen, TQ Duong, OA Dobre… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
In this paper, we consider the secure beamforming design for an underlay cognitive radio
multiple-input single-output broadcast channel in the presence of multiple passive …

On the maximum achievable sum-rate of the RIS-aided MIMO broadcast channel

NS Perović, LN Tran, M Di Renzo… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Reconfigurable intelligent surfaces (RISs) represent a new technology that can shape the
radio wave propagation and thus offer a great variety of possible performance and …

Energy-efficient zero-forcing precoding design for small-cell networks

QD Vu, LN Tran, R Farrell… - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
We consider small-cell networks with multiple-antenna transceivers and base stations (BSs)
cooperating to jointly design linear precoders to maximize the network energy efficiency …

Weighted sum rate maximization for MIMO broadcast channels using dirty paper coding and zero-forcing methods

LN Tran, M Juntti, M Bengtsson… - IEEE Transactions on …, 2013 - ieeexplore.ieee.org
We consider precoder design for maximizing the weighted sum rate (WSR) of successive
zero-forcing dirty paper coding (SZF-DPC). For this problem, the existing precoder designs …

Deep learning enabled optimization of downlink beamforming under per-antenna power constraints: Algorithms and experimental demonstration

J Zhang, W Xia, M You, G Zheng… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
This paper studies fast downlink beamforming algorithms using deep learning in multiuser
multiple-input-single-output systems where each transmit antenna at the base station has its …

Revisiting the MIMO capacity with per-antenna power constraint: Fixed-point iteration and alternating optimization

TM Pham, R Farrell, LN Tran - IEEE Transactions on Wireless …, 2018 - ieeexplore.ieee.org
In this paper, we revisit the fundamental problem of computing MIMO capacity under per-
antenna power constraint (PAPC). Unlike the sum power constraint counterpart which likely …

An efficient precoder design for multiuser MIMO cognitive radio networks with interference constraints

VD Nguyen, LN Tran, TQ Duong… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
We consider a linear precoder design for an underlay cognitive radio multiple-input multiple-
output (MIMO) broadcast channel, where the secondary system consisting of a secondary …

Transmitter optimization for per-antenna power constrained multi-antenna downlinks: An SLNR maximization methodology

H Shen, W Xu, AL Swindlehurst… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
In this paper, we consider signal-to-leakage-plus-noise ratio (SLNR) maximized precoding
for multi-antenna downlinks under per-antenna power constraints (PAPCs). In contrast to the …