期刊
WIRELESS PERSONAL COMMUNICATIONS
卷 120, 期 2, 页码 1057-1078出版社
SPRINGER
DOI: 10.1007/s11277-021-08504-1
关键词
5G; Non-orthogonal multiple access (NOMA); Superposition coding; Successive interference cancellation; Spectral efficiency; Massive connectivity
NOMA is a promising technique to address the challenges of 5G, such as higher spectral efficiency and massive connectivity. It includes Power-Domain NOMA and Code-Domain NOMA techniques for resource allocation and interference cancellation. Further research on integrating NOMA with modern wireless communication technologies is being explored for improving system performance.
The fifth generation (5G) of wireless communication accompanied by the advancement of mobile internet and the Internet of Things (IoT) will create stormy data traffic. The 5G challenges like higher spectral efficiency, massive connectivity, and low latency are addressed by the Non-Orthogonal Multiple Access (NOMA) in recent years. NOMA is proven to be a promising technique from its capability to accommodate a larger number of users in contrast to the conventional orthogonal multiple access (OMA) schemes. NOMA comprises two distinct techniques such as Power-Domain NOMA and Code-Domain NOMA. The non-orthogonal resource allocation in Power-Domain NOMA is practically realized by the Superposition Coding (SC) at the Base Station (BS) and an advanced Successive Interference Cancellation at the User Equipment (UE). In this manuscript, the basic concepts of NOMA, on comparing its channel gain with OMA are discussed first. Specifically, a comprehensive survey of various SIC techniques applied under perfect and imperfect Channel State Information (CSI) uncertainties are summarized in terms of outage probability, ergodic capacity, and system performance. In addition, the sophisticated SIC techniques, when NOMA is integrated with modern wireless communication technologies such as multiple-input multiple-output (MIMO-NOMA) and Cooperative (C-NOMA) communications are investigated. Furthermore, the challenges to be solved with their corresponding opportunities and future research directions of NOMA are explored.
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