Wireless powered mobile edge computing networks: A survey

X Wang, J Li, Z Ning, Q Song, L Guo, S Guo… - ACM Computing …, 2023 - dl.acm.org
Wireless Powered Mobile Edge Computing (WPMEC) is an integration of Mobile Edge
Computing (MEC) and Wireless Power Transfer (WPT) technologies, to both improve …

A DRL-based automated algorithm selection framework for cross-layer QoS-aware scheduling and antenna allocation in massive MIMO systems

CW Huang, I Althamary, YC Chou, HY Chen… - IEEE …, 2023 - ieeexplore.ieee.org
Massive multiple-input-multiple-output (MIMO) systems support advanced applications with
high data rates, low latency, and high reliability in next-generation mobile networks …

CSI feedback based on complex neural network for massive MIMO systems

Q Liu, Z Zhang, G Yang, N Cao, M Li - IEEE Access, 2022 - ieeexplore.ieee.org
In order to solve the problem of large channel state information (CSI) feedback overhead
and low feedback accuracy in massive multiple-input multiple-output (MIMO) systems. We …

Low-complexity signal detection and precoding algorithms for multiuser massive MIMO systems

A Boukharouba, M Dehemchi, A Bouhafer - SN Applied Sciences, 2021 - Springer
In this study, we present efficient detection and precoding algorithms for massive multi-user
multiple-input multiple-output wireless system. To reduce the computational complexity due …

[PDF][PDF] Performance analysis of insertion loss incorporated hybrid precoding for massive MIMO.

TA Abose, TO Olwal, MM Mohammed… - AIMS Electronics & …, 2024 - aimspress.com
Performance analysis of insertion loss incorporated hybrid precoding for massive MIMO Page
1 AIMS Electronics and Electrical Engineering, 8(2): 187‒210. DOI: 10.3934/electreng.2024008 …

An energy efficient resource allocation and transmit antenna selection scheme in mm‐wave using massive multiple‐input multiple‐output technology

C Singh, PC Kishoreraja - International Journal Of …, 2022 - Wiley Online Library
The massive multiple‐input multiple‐output (MIMO) improves the reliability of transmission
and capacity of the channel. Resource allocation (RA) and transmit antenna selection (TAS) …

Improving 5G network performance for OFDM-IDMA system resource management optimization using bio-inspired algorithm with RSM

M Jadhav, V Deshpande… - Computer …, 2022 - Elsevier
The OFDM-IDMA system is a new era in the wireless domain. It is affected by the MAI and
CFO effects. There are no specific CFO reduction techniques that have been identified as …

Enhanced Fronthaul Capacity in CRANs: Sum-Rate Maximization via Joint Optimal Design of STAR-RIS, Massive MIMO and Data Compression

I Farhat, U Rashid, O Waqar - IEEE Open Journal of Vehicular …, 2024 - ieeexplore.ieee.org
Cloud Radio Access Networks (CRAN) face a critical challenge due to the limited capacity of
fronthaul links overwhelmed by massive data transmissions. This paper proposes a novel …

Evaluation of Beamsteering performance in MultiuserMIMO Unmanned Aerial Base Stations networks

G Castellanos, A Colpaert, M Deruyck, E Tanghe… - Ieee …, 2022 - ieeexplore.ieee.org
Future wireless communication networks can benefit from Unmanned Aerial Base Stations
(UABSs) to provide enhanced capacity to ground users (GU) in large and remote locations …

Efficient Hybrid Precoding for Millimeter‐Wave Massive MIMO‐NOMA Systems: A Low‐Complexity Approach

S Nath Sur, A Kumar Singh… - Massive MIMO for …, 2025 - Wiley Online Library
In the pursuit of high‐speed, low‐latency communication systems for the future, the
integration of massive multiple‐input multiple‐output (mMIMO) technology with millimeter …