Abstract
Terahertz (THz) communication is considered to be a promising technology in B5G communication systems. Efficient resource allocation algorithms play an important role in THz communication systems. In this paper, a graph theory based resource allocation algorithm is proposed for THz communication networks. The resource allocation is formulated into an optimization problem, which is a Mixed-Integer Nonlinear Programming (MINLP) problem. We thus divide it into subchannel allocation and power allocation problems. In the subchannel allocation problem, we transform it into a bipartite graph optimal matching problem, and propose a network flow algorithm to solve it. In the power allocation problem, we optimize the power allocation of each subchannel by penalty function method on the basis of subchannel allocation. Simulation results show that the proposed scheme has better performance than that based on long-user-central-window (LUCW) principle.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
