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Asynchronous downlink massive MIMO networks: A stochastic geometry approach

Sadeghabadi, E ; Sharif University of Technology | 2020

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  1. Type of Document: Article
  2. DOI: 10.1109/TWC.2019.2946824
  3. Publisher: Institute of Electrical and Electronics Engineers Inc , 2020
  4. Abstract:
  5. Massive multiple-input multiple-output (M-MIMO) is recognized as a promising technology for the next generation of wireless networks because of its potential to increase the spectral efficiency. In initial studies of M-MIMO, the system has been considered to be perfectly synchronized throughout the entire cells. However, perfect synchronization may be hard to attain in practice. Therefore, we study a M-MIMO system whose cells are not synchronous to each other, while transmissions in a cell are still synchronous. We analyze an asynchronous downlink M-MIMO system in terms of the coverage probability and the ergodic rate by means of the stochastic geometry tool. For comparison, we also obtain results for the corresponding synchronous system. In addition, we investigate the effect of the uplink power control and the number of pilot symbols on the downlink ergodic rate, and we observe that there is an optimal value for the number of pilot symbols maximizing the downlink ergodic rate of a cell. Our results also indicate that, compared to the synchronous system, the downlink ergodic rate is more sensitive to the uplink power control in the asynchronous mode. © 2002-2012 IEEE
  6. Keywords:
  7. Downlink ; Massive MIMO ; Synchronous and asynchronous systems ; Cells ; Cytology ; Geometry ; Power control ; Stochastic systems ; Asynchronous modes ; Asynchronous system ; Coverage probabilities ; Spectral efficiencies ; Stochastic geometry ; Synchronous system ; Uplink power controls ; MIMO systems
  8. Source: IEEE Transactions on Wireless Communications ; Volume 19, Issue 1 , 2020 , Pages 579-594
  9. URL: https://ieeexplore.ieee.org/document/8874998