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Performance Analysis of MIMO-NOMA Systems with Randomly Deployed Users
Shi,Zheng1; Yang,Guanghua1; Fu,Yaru2; Wang,Hong3; Ma,Shaodan4
2018
Source Publication2018 IEEE Global Communications Conference, GLOBECOM 2018 - Proceedings
AbstractThis paper investigates the performance of Multiple-input multiple-output non-orthogonal multiple access (MIMO-NOMA) systems with randomly deployed users, where the randomly deployed NOMA users follow Poisson point process (PPP), the spatial correlation between MIMO channels are characterized by using Kronecker model, and the composite channel model is used to capture large- scale fading as well as small-scale fading. The spatial randomness of users' distribution, the spatial correlation among antennas and large-scale fading will severally impact the system performance, but they are seldom considered in prior literature for MIMO-NOMA systems, and the consideration of all these impact factors challenges the analysis. Based on zero-forcing (ZF) detection, the exact expressions for both the average outage probability and the average goodput are derived in closed-form. Moreover, the asymptotic analyses are conducted for both high signal-to-noise ratio (SNR) (small cell radius) and low SNR (large cell radius) to gain more insightful results. In particular, the diversity order is given by \delta = {{N-r} - {M} + 1}, the average outage probability of k-th nearest user to the base station follows a scaling law of O\left({D{\alpha \left( {{N-r} - {M} + 1} \right) + 2k}}\right), the average goodput scales as O({D{2}}) and O({D{-2}}) as D \to 0 and D \to \infty, respectively, where N-r, +, \alpha and D stand for the number of receive antennas, the total number of data streams, the path loss exponent and the cell radius, respectively. The analytical results are finally validated through the numerical analysis.
KeywordMIMO NOMA order statistics. zero-forcing
DOI10.1109/GLOCOM.2018.8647702
URLView the original
Language英语
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Document TypeConference paper
CollectionUniversity of Macau
Affiliation1.School of Electrical and Information Engineering,Institute of Physical Internet,Jinan University,China
2.Institute of Network Coding,Chinese University of Hong Kong,Hong Kong,Hong Kong
3.School of Communication and Information Engineering,Nanjing University of Posts and Telecommunications,China
4.Department of Electrical and Computer Engineering,University of Macau,Macao
Recommended Citation
GB/T 7714
Shi,Zheng,Yang,Guanghua,Fu,Yaru,et al. Performance Analysis of MIMO-NOMA Systems with Randomly Deployed Users[C],2018.
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