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Graph-Based Resource Allocation for Integrated Space and Terrestrial Communications.

Antoni Ivanov1, Krasimir Tonchev1, Vladimir Poulkov1

  • 1Faculty of Telecommunications, Technical University of Sofia, bul. Kl. Ohridski 8, 1000 Sofia, Bulgaria.

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Summary
This summary is machine-generated.

This study reviews graph-based resource allocation (RA) in wireless networks. It proposes Graph-based Resource allocation for Integrated Space and Terrestrial communications (GRIST) for future integrated networks.

Keywords:
6Gcellular networkscognitive radiodevice-to-device networksgraphheterogeneous networksresource allocationwireless communications

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Area of Science:

  • Wireless Communications Engineering
  • Network Optimization
  • Graph Theory Applications

Background:

  • Resource allocation (RA) is critical for wireless network throughput maximization.
  • Graph-based solutions offer higher efficiency but pose scalability challenges.
  • Existing research covers cellular, device-to-device, and cognitive radio networks.

Purpose of the Study:

  • To comprehensively review and analyze graph-based RA methods in key wireless network types.
  • To propose a novel framework for integrated space and terrestrial communications.
  • To introduce a design process for resource management algorithms.

Main Methods:

  • Literature review and analysis of graph-based RA techniques.
  • Development of the Graph-based Resource allocation for Integrated Space and Terrestrial communications (GRIST) concept using hypergraphs.
  • Introduction of a graph-based design process for resource management.

Main Results:

  • Identified design characteristics and future research directions for graph-based RA in cellular, D2D, and CRN.
  • Proposed GRIST to model inter-connectivity in integrated space and terrestrial networks.
  • Detailed implementation challenges for GRIST and a complementary design scheme.

Conclusions:

  • Graph-based RA is a vital area with evolving challenges and opportunities.
  • GRIST offers a promising hypergraph-based approach for integrated space and terrestrial networks.
  • A structured design process is essential for balancing resource management considerations.