Energy-Efficient Resource Allocation in Ultra-Dense Networks With EMBB and URLLC Users Coexistence

Abstract

Ultra-dense network (UDN) is an important technology to provide high data rate services in hot areas. Efficient resource allocation schemes are vital, in order to ensure the quality-of-service (QoS) requirements of users. In this article, we consider the resource allocation problem in a UDN with both enhanced mobile broadband (eMBB) and ultra-reliable low-latency communication (URLLC) users to find ways to improve energy efficiency (EE) and satisfy the diverse QoS requirements. We consider a more realistic power consumption model and interference model, in order to better satisfy the QoS requirements and mitigate the performance degradation caused by strong interference. Then, we construct an EE maximization problem with QoS constraints. In order to solve this non-convex combined integer fractional programming problem, we decompose it into two sub-problems: resource block (RB) allocation and power allocation problems. Algorithms based on continuous convex approximation and difference of convex programming are proposed to solve the sub-problems, respectively. Then we propose an alternating optimization algorithm to obtain a sub-optimal solution to the original problem and analyze the convergence and complexity of the algorithm. The simulation results show that the proposed algorithm can converge quickly and has obvious advantages in improving EE and guaranteeing the QoS requirements of eMBB and URLLC users.