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One is that non-orthogonal multiple access introduces additional complexity due to the use of Successive interference cancellation, and the other is that the performance gain of NOMA at low signal-to-noise ratio is insignificant

On the Performance of Non-Orthogonal Multiple Access in 5G Systems with Randomly Deployed Users

IEEE Signal Process. Lett., no. 12 (2014): 1501-1505

Cited by: 1451|Views126
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Abstract

In this letter, the performance of non-orthogonal multiple access (NOMA) is investigated in a cellular downlink scenario with randomly deployed users. The developed analytical results show that NOMA can achieve superior performance in terms of ergodic sum rates; however, the outage performance of NOMA depends critically on the choices of ...More

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Highlights
  • In this letter, the performance of non-orthogonal multiple access (NOMA) is investigated in a downlink network with randomly deployed mobile users
  • =areMa−1 μm=+415 and μ is to ensure am the outage performance is shown as a function of signal-to-noise ratio (SNR), where the targeted rate for the conventional scheme is
  • As can be observed from Fig. 1.a, NOMA outperforms the comparable scheme, and the diversity order of the users is a function of their channel conditions, which is consistent to (12)
  • The two figures in Fig. 2 demonstrate that NOMA can achieve a larger sum rate than the orthogonal MA scheme, and approach the upper bound of the system throughput which is achieved by the opportunistic MA scheme
  • One is that NOMA introduces additional complexity due to the use of Successive interference cancellation (SIC), and the other is that the performance gain of NOMA at low SNR is insignificant
  • It is important to study how to achieve a tradeoff of performance and complexity at different SNRs
Reference
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  • Y. Saito, A. Benjebbour, Y. Kishiyama, and T. Nakamura, “System level performance evaluation of downlink non-orthogonal multiple access (NOMA),” in Proc. IEEE Annual Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), London, UK, Sept. 2013.
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  • Z. Ding and H. V. Poor, “Cooperative energy harvesting networks with spatially random users,” IEEE Signal Process. Lett., vol. 20, no. 12, pp. 1211–1215, Dec. 2013.
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