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Outage analysis of MIMO-NOMA relay system with user clustering and beamforming under imperfect CSI in Nakagami-m fading channels

Hoang, T.M. and Tran, X.N. and Nguyen, B.C. and Dung, L.T. (2019) Outage analysis of MIMO-NOMA relay system with user clustering and beamforming under imperfect CSI in Nakagami-m fading channels. In: 5th EAI International Conference on Industrial Networks and Intelligent Systems, INISCOM 2019, 19 August 2019 through 19 August 2019.

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Abstract

In this paper, we propose and analyze a downlink multiple-user MIMO-NOMA relay system where all users are grouped into several clusters. To mitigate the inter-cluster interference, the superposition signals at the base station are beamed at the relay nodes. Then, the relays communicate with the users through superposition coding in power domain. We derive the exact closed-form expressions of the outage probability of each user in every cluster for the cases of perfect successive-interference cancellation (SIC) and imperfect SIC. The outage performance is analyzed the over Nakagami-m fading channels, taking into account the imperfection of channel state information (CSI). All analysis results are compared with Monte-Carlo simulation result to verify the correctness of the derived mathematical expressions. The results show that the channel fading severity, channel estimation error, and the quality of SIC structure have strong influences on the outage performance of the proposed MIMO-NOMA relay system. © 2019, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.

Item Type: Conference or Workshop Item (Paper)
Divisions: Faculties > Faculty of Radio-Electronic Engineering
Identification Number: 10.1007/978-3-030-30149-1_1
Uncontrolled Keywords: Beamforming; Fading channels; Intelligent systems; MIMO systems; Monte Carlo methods; Multiple access interference; Outages; Channel estimation errors; Mathematical expressions; Multiple access; Nakagami-m fading channels; Outage probability; Successive interference cancellation(SIC); Successive interference cancellations; User clustering; Channel state information
Additional Information: Conference code: 231569. Language of original document: English.
URI: http://eprints.lqdtu.edu.vn/id/eprint/9430

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