Interference-alignment and soft-space-reuse based cooperative transmission for multi-cell massive MIMO networks

J Ma, S Zhang, H Li, N Zhao… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
As a revolutionary wireless transmission strategy, interference alignment (IA) can improve
the capacity of cell-edge users. However, the acquisition of the global channel state …

Distributed multiuser MIMO for LiFi in industrial wireless applications

KL Bober, SM Mana, M Hinrichs… - Journal of Lightwave …, 2021 - opg.optica.org
We present a concept for networked optical wireless communications, also denoted as LiFi,
to meet the requirements of industrial wireless applications. These are primarily mobility …

Energy efficient resource allocation for 5G heterogeneous networks using genetic algorithm

X Qi, S Khattak, A Zaib, I Khan - IEEE Access, 2021 - ieeexplore.ieee.org
The energy efficient resource allocation scheme based on genetic algorithm (GA) for the
downlink orthogonal frequency division multiple access (OFDMA) heterogeneous networks …

Investigation of future 5G-IoT millimeter-wave network performance at 38 GHz for urban microcell outdoor environment

F Qamar, MHDN Hindia, K Dimyati, KA Noordin… - Electronics, 2019 - mdpi.com
The advent of fifth-generation (5G) systems and their mechanics have introduced an
unconventional frequency spectrum of high bandwidth with most falling under the millimeter …

Mobile fronthaul architecture and technologies: A RAN equipment assessment

P Chanclou, LA Neto, K Grzybowski, Z Tayq… - Journal of Optical …, 2018 - opg.optica.org
Optical fiber is the required technology for radio access network (RAN) backhaul and
fronthaul. We report on the evolution of RAN equipment, including the advent of …

Interference mitigation and power allocation scheme for downlink MIMO–NOMA HetNet

A Nasser, O Muta, M Elsabrouty… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
In this paper, a novel interference mitigation and power allocation (PA) scheme is
investigated for downlink non-orthogonal multiple access (NOMA) with multiple input …

[HTML][HTML] Security concerns on machine learning solutions for 6G networks in mmWave beam prediction

FO Catak, M Kuzlu, E Catak, U Cali, D Unal - Physical Communication, 2022 - Elsevier
Abstract 6G–sixth generation–is the latest cellular technology currently under development
for wireless communication systems. In recent years, machine learning (ML) algorithms have …

Ultra-dense small cell planning using cognitive radio network toward 5G

FH Tseng, H Chao, J Wang - IEEE Wireless Communications, 2015 - ieeexplore.ieee.org
Mobile communication is facing new challenges to the soaring traffic demand of numerous
user devices; thus, the notion of the small cell has been proposed and realized in recent …

A 1.8–3.8-GHz power amplifier with 40% efficiency at 8-dB power back-off

P Saad, R Hou, R Hellberg… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
This paper presents a novel power combining architecture, referred to as distributed efficient
power amplifier (DEPA) that mitigates the inherent bandwidth limiting factors in a Doherty …

Massive MIMO, non-orthogonal multiple access and interleave division multiple access

C Xu, Y Hu, C Liang, J Ma, L Ping - IEEE Access, 2017 - ieeexplore.ieee.org
This paper provides an overview on the rationales in incorporating massive multiple-input
multiple-output (MIMO), non-orthogonal multiple access (NOMA), and interleave division …