2020/04/14 by Do-Yup Kim, Kim, Do-Yup, Hamid Jafarkhani +3
Computer Science · Engineering · Mathematics · #90B18 (Primary) 90B15 #90B36 (Secondary) #Advanced Wireless Communication Technologies #C.2.1 #FOS: Computer and information sciences #FOS: Electrical engineering #Information Theory (cs.IT) #IoT Networks and Protocols #Networking and Internet Architecture (cs.NI) #Satellite Communication Systems #Systems and Control (eess.SY) #acm:90B15 #acm:90B18 #acm:90B36 #cs.IT #cs.NI #cs.SY #eess.SY #electronic engineering #information engineering #math.IT #msc:90B15 #msc:90B18 #msc:90B36
paper · pdf · doi:10.48550/arxiv.2004.06585
7 pages, 5 figures
openalex publication_date 2020/04/14 · arxiv created 2021/01/08 · arxiv updated 2021/01/11 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Non-orthogonal multiple access (NOMA) has been considered one of the most promising radio access techniques for next-generation cellular networks. In this paper, we study the joint user and power scheduling for downlink NOMA over fading channels. Specifically, we focus on a stochastic optimization problem to maximize the weighted average sum rate while ensuring given minimum average data rates of users. To address this problem, we first develop an opportunistic user and power scheduling algorithm (OUPS) based on the duality and stochastic optimization theory. By OUPS, the stochastic problem is transformed into a series of deterministic ones for the instantaneous weighted sum rate maximization for each slot. Thus, we additionally develop a heuristic algorithm with very low computational complexity, called user selection and power allocation algorithm (USPA), for the instantaneous weighted sum rate maximization problem. Via simulation results, we demonstrate that USPA provides near-optimal performance with very low computational complexity, and OUPS well guarantees given minimum average data rates.