Autors: Ivanov, A. S., Tonchev, K., Poulkov, V. K., Manolova, A. H., Neshov, N. N.
Title: Graph-Based Resource Allocation for Integrated Space and Terrestrial Communications
Keywords: 6G; cellular networks; cognitive radio; device-to-device networks; graph; heterogeneous networks; resource allocation; wireless communications

Abstract: Resource allocation (RA) has always had a prominent place in wireless communications research due to its significance for network throughput maximization, and its inherent complexity. Concurrently, graph-based solutions for RA have also grown in importance, providing opportunities for higher throughput and efficiency due to their representational capabilities, as well as challenges for realizing scalable algorithms. This article presents a comprehensive review and analysis of graph-based RA methods in three major wireless network types: cellular homogeneous and heterogeneous, device-to-device, and cognitive radio networks. The main design characteristics, as well as directions for future research, are provided for each of these categories. On the basis of this review, the concept of Graph-based Resource allocation for Integrated Space and Terrestrial communications (GRIST) is proposed.

References

    Issue

    Sensors, vol. 22, issue 15, 2022, Switzerland, Multidisciplinary Digital Publishing Institute (MDPI), DOI 10.3390/s22155778

    Copyright MDPI

    Вид: статия в списание, публикация в издание с импакт фактор, публикация в реферирано издание, индексирана в Scopus и Web of Science