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
-
Sparse representation for massive MIMO satellite channel based on joint dictionary learning
by: Qing yang Guan, et al.
Published: (2024-09-01) -
Resource Scheduling in MU-MIMO and NOMA Enabled Integrated Access and Backhaul Networks
by: Chuan-Wei Cho, et al.
Published: (2025-01-01) -
Synergizing NOMA and energy harvesting in full duplex mobile edge computing for optimized energy efficiency
by: Mirza Baber Baig, et al.
Published: (2025-04-01) -
Pilot spoofing attack detection and channel estimation for secure massive MIMO
by: Delong Liu, et al.
Published: (2024-11-01) -
Adaptive iterative bit allocation algorithm for MIMO-OFDM system
by: FAN Ling-yan1, et al.
Published: (2007-01-01)