Millimeter-Wave MIMO-NOMA based Positioning System for Internet of Things Applications

Lincong Han, Rongke Liu, Wang Zijie, Xinwei Yue, John Thompson

Research output: Contribution to journalArticlepeer-review


Non-orthogonal multiple access (NOMA) has been identified as a promising technology in millimeter-wave (mmWave) multiple-input multiple-output (MIMO) communication networks for Internet of things (IoT) applications, which has the advantages of both massive connectivity and high spectrum efficiency. However, few researchers have considered the probability of introducing NOMA to a positioning system. In this paper, a novel mmWave MIMO-NOMA based positioning system is proposed, which is capable of meeting the requirements
of IoT applications. We establish a NOMA-based positioning model from the perspective of the system level, along with the design of transmission strategy. To characterize the positioning performance, the position error bound (PEB) is selected as an evaluation criteria and theoretical expressions of the PEB are
provided. Simulations of comparing localization performance between NOMA and conventional orthogonal multiple access (OMA) are conducted by using the theoretical analysis. Numerical results show that the application of NOMA to localization is a viable way to reduce the PEB compared to OMA. Our work further shows under what circumstances can NOMA outperform OMA in terms of localization performance and the corresponding parameter settings.
Original languageEnglish
Pages (from-to)1-11
JournalIEEE Internet of Things Journal
Early online date20 May 2020
Publication statusE-pub ahead of print - 20 May 2020


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