Spectrum Allocation With Adaptive Sub-Band Bandwidth for Terahertz Communication Systems

We study spectrum allocation for terahertz (THz) band communication (THzCom) systems, while considering the frequency and distance-dependent nature of THz channels. Different from existing studies, we explore multi-band-based with adaptive sub-band bandwidth (ASB) by allowing interest to be divided into sub-bands unequal bandwidths. Also, investigate impact assignment on multi-connectivity (MC) enabled THzCom where users associate communicate multiple access points simultaneously. formulate resource problems, primary focus allocation, determine assignment, bandwidth, optimal transmit power. Thereafter, propose reasonable approximations transformations, develop iterative algorithms based successive convex approximation technique analytically solve formulated problems. Aided numerical results, show that enabling optimizing ASB, significantly higher throughput can achieved as compared adopting equal this gain is most profound when power budget constraint more stringent. also our strategy in MC-enabled systems outperforms state-of-the-art strategies performance lowest average molecular absorption coefficient selected during allocation.