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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.

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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.

Keywords:
Age of InformationNon-Orthogonal Multiple Accessheterogeneous accessreliabilityslotted ALOHA

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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.