Position filtering-based non-orthogonal multiple access in mobile scenarios
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In this paper, a downlink non-orthogonal multiple access (NOMA) system with partial channel state information (CSI) in mobile scenarios is considered. In particular, users are deployed randomly and move casually around the base station (BS). As a result, the channel gain of each user will vary as its position change, which has an influence on spectrum efficiency of conventional NOMA. For the addressed scenario, an analytical framework in terms of average sum rate performance is developed to evaluate the impact of estimated position deviation. To further improve the system performance, a novel NOMA scheme based on position filtering in mobile scenarios is proposed. Monte Carlo simulation is also provided to demonstrate the spectrum efficiency improvement compared with conventional NOMA and OMA schemes. And the results verify the accuracy of proposed analytical framework.
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