Cheng Hu, Hong Wang, Changxiang Li, Rong-fang Song
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Group-based successive interference cancellation for multi-antenna NOMA system with error propagation
Non-orthogonal multiple access (NOMA) is viewed as a key technique to improve the spectrum efficiency and solve the issue of massive connectivity. However, for power domain NOMA, the required overall transmit power should be increased rapidly with the increasing number of users in order to ensure that the signal-to-interference-plus-noise ratio reaches a predefined threshold. In addition, since the successive interference cancellation (SIC) is adopted, the error propagation would become more serious as the order of SIC increases. Aiming at minimizing the total transmit power and satisfying each user's service requirement, this paper proposes a novel framework with group-based SIC for the deep integration between power domain NOMA and multi-antenna technology. Based on the proposed framework, a joint optimization of power control and equalizer design is investigated to minimize transmit power consumption for uplink multi-antenna NOMA system with error propagations. Based on the relationship between the equalizer and the transmit power coefficients, the original problem is transformed to a transmit power optimization problem, which is further addressed by a parallel iteration algorithm. It is shown by simulations that, in terms of the total power consumption, the proposed scheme outperforms the conventional OMA and the existing cluster-based NOMA schemes.
期刊介绍:
China Communications (ISSN 1673-5447) is an English-language monthly journal cosponsored by the China Institute of Communications (CIC) and IEEE Communications Society (IEEE ComSoc). It is aimed at readers in industry, universities, research and development organizations, and government agencies in the field of Information and Communications Technologies (ICTs) worldwide.
The journal's main objective is to promote academic exchange in the ICTs sector and publish high-quality papers to contribute to the global ICTs industry. It provides instant access to the latest articles and papers, presenting leading-edge research achievements, tutorial overviews, and descriptions of significant practical applications of technology.
China Communications has been indexed in SCIE (Science Citation Index-Expanded) since January 2007. Additionally, all articles have been available in the IEEE Xplore digital library since January 2013.