A review of millimeter wave communication for 5G

C Seker, MT Güneser, T Ozturk - 2018 2nd International …, 2018 - ieeexplore.ieee.org
The millimeter wave (mmWave) bands give new facilities with tremendous amount of
spectrum to fifth generation (5G) mobile communication network to supply mobile data …

Toward Addressing Training Data Scarcity Challenge in Emerging Radio Access Networks: A Survey and Framework

HN Qureshi, U Masood, M Manalastas… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
The future of cellular networks is contingent on artificial intelligence (AI) based automation,
particularly for radio access network (RAN) operation, optimization, and troubleshooting. To …

Energy efficiency modeling of integrated energy system in coastal areas

C Yang, F Gao, M Dong - Journal of Coastal Research, 2020 - meridian.allenpress.com
ABSTRACT Yang, C.; Gao, F., and Dong, M., 2020. Energy efficiency modeling of integrated
energy system in coastal areas. In: Yang, Y.; Mi, C.; Zhao, L., and Lam, S.(eds.), Global …

SyntheticNET: A 3GPP compliant simulator for AI enabled 5G and beyond

SMA Zaidi, M Manalastas, H Farooq, A Imran - IEEE Access, 2020 - ieeexplore.ieee.org
The rapid evolution of cellular system design towards 5G and beyond gives rise to a need
for investigation of the new features, design proposals and solutions in realistic settings for …

Stochastic geometry modeling and analysis of finite millimeter wave wireless networks

SM Azimi-Abarghouyi, B Makki… - IEEE Transactions …, 2018 - ieeexplore.ieee.org
This paper develops a stochastic geometry-based approach for the modeling and analysis
of finite millimeter wave (mmWave) wireless networks where a random number of …

Performance analysis of dense low earth orbit satellite communication networks with stochastic geometry

SH Chae, H Lim, H Lee, BC Jung - Journal of Communications …, 2023 - ieeexplore.ieee.org
The low Earth orbit (LEO) satellite communication systems have drawn much attention as a
promising solution for providing global wireless connectivity. This paper studies the …

Deep reinforcement learning for joint beamwidth and power optimization in mmWave systems

J Gao, C Zhong, X Chen, H Lin… - IEEE Communications …, 2020 - ieeexplore.ieee.org
This letter studies the joint beamwidth and transmit power optimization problem in millimeter
wave communication systems. A deep reinforcement learning based approach is proposed …

Performance analysis for user-centric dense networks with mmWave

J Shi, C Pan, W Zhang, M Chen - IEEE Access, 2019 - ieeexplore.ieee.org
This paper focuses on the coverage probability and ergodic capacity for millimeter wave
(mmWave) user-centric dense networks, where multiple access points (APs) consist of a …

Joint transmission reception point selection and resource allocation for energy-efficient millimeter-wave communications

Y Liu, X Fang, M **ao - IEEE Transactions on Vehicular …, 2020 - ieeexplore.ieee.org
In this paper, we study the joint transmission reception point (TRP) selection and resource
allocation problem to maximize the weighted sum energy efficiency under imperfect channel …

Energy efficiency maximization in mmWave wireless networks with 3D beamforming

M Baianifar, SM Razavizadeh… - Journal of …, 2019 - ieeexplore.ieee.org
In this paper, we address the problem of 3D beamforming (3DBF) in millimeter wave
(mmWave) wireless networks. In particular, we study the impact of base station (BS) antenna …