2019/02/06 by Minseok Choi, Choi, Minseok, Joongheon Kim +1 · 1 citation
Computer Science · Engineering · Mathematics · #Advanced MIMO Systems Optimization #Advanced Wireless Communication Technologies #Computer science #FOS: Computer and information sciences #Information Theory (cs.IT) #Mathematical optimization #Mathematics #SIGNAL (programming language) #Scheduling (production processes) #Wireless Signal Modulation Classification #cs.IT #math.IT
paper · pdf · doi:10.48550/arxiv.1902.02090
published in arXiv (Cornell University) (Cornell University) · 30 pages, 12 figures
arxiv created 2019/02/06 · openalex publication_date 2019/02/06 · arxiv updated 2019/02/07 · openalex created_date 2019/02/21 · openalex updated_date 2026/07/28
For a massive number of devices, nonorthogonal multiple access (NOMA) has been recognized as a promising technology for improving the spectral efficiency compared to orthogonal multiple access (OMA). However, it is difficult for a base station (BS) to provide all of the information about NOMA signals via a high layer owing to signaling overhead concerns. This paper studies blind signal classification, which determines whether or not the received NOMA signal requires successive interference cancellation (SIC) without a priori signal information. In this paper, two types of blind signal classification errors are analyzed: 1) the signal is classified as one that does not require SIC on the SIC user side and 2) the signal is classified as one for which SIC is necessary on the non-SIC user side. In addition, we formulate the joint optimization problem for user scheduling and power allocation, which maximizes the sum-rate gain of NOMA over OMA with constraints on the maximum classification error probability and minimum data rate. The proposed algorithm iteratively finds solutions for user scheduling and power allocation. Simulation results show that the proposed scheme outperforms existing user scheduling methods.