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Dynamic resource allocation for energy-efficient downlink NOMA systems in 5G networks
Osama Abuajwa1, Sufian Mitani1
1Telekom Research & Development (TM R&D), TM Innovation Centre, 63000 Cyberjaya, Malaysia.
Heliyon
|May 17, 2024
Summary
Simulated Annealing (SA) optimizes resource allocation in Non-Orthogonal Multiple Access (NOMA) systems for enhanced energy efficiency. This method significantly outperforms existing techniques, achieving near-optimal solutions faster.
Area of Science:
- Wireless communication networks
- Telecommunications engineering
- Optimization algorithms
Background:
- Non-Orthogonal Multiple Access (NOMA) is crucial for future energy-efficient networks.
- NOMA enables simultaneous resource sharing among users via power domain multiplexing.
- Resource allocation in NOMA is an NP-hard problem, posing significant optimization challenges.
Purpose of the Study:
- To propose Simulated Annealing (SA) for optimizing resource allocation in energy-efficient downlink NOMA systems.
- To address user, channel, and power allocation complexities inherent in NOMA.
- To maximize energy efficiency in NOMA through an efficient standalone optimization approach.
Main Methods:
- Application of Simulated Annealing (SA) for resource allocation.
- SA used for user-to-channel assignment.
- SA employed for power distribution and power ratio determination among NOMA users.
Main Results:
- Achieved significant improvements in energy efficiency.
- Demonstrated a 22% performance increase over existing numerical methods.
- Obtained near-optimal solutions with reduced computational time.
Conclusions:
- SA is an effective standalone technique for NOMA resource allocation.
- The proposed SA scheme enhances energy efficiency reliably and efficiently.
- SA offers a practical solution for complex NOMA optimization problems.
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