Energy-Efficient Resource Allocation in Mobile Edge Computing Using NOMA and Massive MIMO
This work addresses the critical challenge of energy consumption in Mobile Edge Computing (MEC), a burgeoning field that extends cloud computing capabilities to the edge of cellular networks. Given the exponential growth of mobile devices and the resultant surge in energy demands, there is an urgent...
Saved in:
Main Authors: | Qusay Alghazali, Husam Al-Amaireh, Tibor Cinkler |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2025-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10855410/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Sum-rate maximization in MIMO NOMA system with imperfect CSI
by: Yanjing SUN, et al.
Published: (2019-11-01) -
Adaptive iterative bit allocation algorithm for MIMO-OFDM system
by: FAN Ling-yan1, et al.
Published: (2007-01-01) -
Performance analysis of massive MIMO uplink with channel aging in high-speed mobile scenario
by: Lihua YANG, et al.
Published: (2017-07-01) -
SOC-Based Simulation of 3D MIMO Mobile-to-Mobile Fading Channels: A Riemann Sum Approach
by: Carlos A. Gutierrez, et al.
Published: (2024-01-01) -
MIMO iterative channel estimation based on extended Kalman filter
by: Mingfu LI, et al.
Published: (2017-09-01)