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Spectrum Slicing for Multiple Access Channels with Heterogeneous Services
Federico Chiariotti1, Israel Leyva-Mayorga1, Čedomir Stefanović1
1Department of Electronic Systems, Aalborg University, Fredrik Bajers Vej 7C, 9100 Aalborg, Denmark.
Entropy (Basel, Switzerland)
|June 2, 2021
Summary
Non-Orthogonal Multiple Access (NOMA) enhances latency and reliability for 5G and beyond networks. Orthogonal Multiple Access (OMA) performs better for Age of Information (AoI) metrics in wireless spectrum sharing.
Area of Science:
- Wireless communication networks
- 5G and beyond mobile technologies
- Spectrum sharing techniques
Background:
- 5G networks support diverse traffic with varying needs like throughput, latency, reliability, and Age of Information (AoI).
- Spectrum slicing is crucial for efficiently managing heterogeneous traffic on shared wireless channels.
Purpose of the Study:
- To investigate Orthogonal Multiple Access (OMA) and Non-Orthogonal Multiple Access (NOMA) for spectrum sharing.
- To analyze performance trade-offs between broadband and time-sensitive services under different access schemes.
Main Methods:
- Analytical assessment of Time Division Multiple Access (TDMA) and ALOHA-based schemes.
- Investigation in a single time-slotted shared frequency channel with broadband and intermittent users.
- Derivation of Pareto regions and optimal parameter values for OMA and NOMA frameworks.
Main Results:
- NOMA demonstrates superior performance over OMA for latency and reliability-focused systems.
- OMA shows a slight advantage in systems prioritizing Age of Information (AoI) metrics.
- Performance depends on the specific traffic requirements and access scheme.
Conclusions:
- NOMA offers a promising approach for optimizing latency and reliability in future wireless networks.
- The choice between OMA and NOMA depends on the specific performance objectives (latency-reliability vs. AoI).
- This study provides insights into spectrum slicing strategies for heterogeneous traffic in 5G and beyond.
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