QoS-Aware Subchannel and Power Allocation Algorithm in Terahertz Communication System

Abstract

This paper proposes a terahertz downlink resource allocation algorithm. The network throughput is maximized through optimally allocating subchannels and power resources. Since the problem is NP-hard, we reduce the computational complexity by dividing it into two subproblems, namely subchannel allocation problem and power allocation problem. We assume that the global channel state information (CSI) and user location information are known, the base station uses max SINR greedy (MSG) algorithm or priority user select (PUS) algorithm based on worst-user-first principle to solve the subchannel allocation problem. After subchannels are allocated, the Lagrange dual method is used to optimize the allocation of power resources to maximize the network throughput and meet the quality-of-service (QoS) requirements. Numerical simulation shows that the performance of the proposed algorithm is better than that of random channel allocation and equal power allocation scheme and MSG has the best performance.