Journal
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
Volume 15, Issue 6, Pages 4438-4454Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TWC.2016.2542066
Keywords
Multiple-input multiple-output; multiuser superposition transmission (MUST); non-orthogonal multiple access (NOMA); signal alignment; stochastic geometry
Funding
- U.K. EPSRC [EP/L025272/1]
- MSCA-RISE [690750]
- Alexander von Humboldt Professorship Program
- U.S. National Science Foundation [CCF-1420575]
- Engineering and Physical Sciences Research Council [EP/L025272/1] Funding Source: researchfish
- EPSRC [EP/L025272/1] Funding Source: UKRI
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The application of multiple-input multipleoutput (MIMO) techniques to nonorthogonal multiple access (NOMA) systems is important to enhance the performance gains of NOMA. In this paper, a novel MIMO-NOMA framework for downlink and uplink transmission is proposed by applying the concept of signal alignment. By using stochastic geometry, closed-form analytical results are developed to facilitate the performance evaluation of the proposed framework for randomly deployed users and interferers. The impact of different power allocation strategies, namely fixed power allocation and cognitive radio inspired power allocation, on the performance of MIMO-NOMA is also investigated. Computer simulation results are provided to demonstrate the performance of the proposed framework and the accuracy of the developed analytical results.
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