Selective uplink training for massive MIMO systems

Changming Li, Jun Zhang, Shenghui Song, Khaled Letaief

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

As a promising technique to meet the drastically growing demand for both high throughput and uniform coverage in the fifth generation (5G) wireless networks, massive multiple-input multiple-output (MIMO) systems have attracted significant attention in recent years. However, in massive MIMO systems, as the density of mobile users (MUs) increases, conventional uplink training methods will incur prohibitively high training overhead, which is proportional to the number of MUs. In this paper, we propose a selective uplink training method for massive MIMO systems, where in each channel block only part of the MUs will send uplink pilots for channel training, and the channel states of the remaining MUs are predicted from the estimates in previous blocks, taking advantage of the channels' temporal correlation. We propose an efficient algorithm to dynamically select the MUs to be trained within each block and determine the optimal uplink training length. Simulation results show that the proposed training method provides significant throughput gains compared to the existing methods, while much lower estimation complexity is achieved. It is observed that the throughput gain becomes higher as the MU density increases.

Original languageEnglish
Title of host publication2016 IEEE International Conference on Communications, ICC 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479966646
DOIs
Publication statusPublished - 12 Jul 2016
Externally publishedYes
Event2016 IEEE International Conference on Communications, ICC 2016 - Kuala Lumpur, Malaysia
Duration: 22 May 201627 May 2016

Other

Other2016 IEEE International Conference on Communications, ICC 2016
CountryMalaysia
CityKuala Lumpur
Period22/5/1627/5/16

Fingerprint

Throughput
Wireless networks

Keywords

  • dynamic user selection
  • selective training
  • temporal correlation
  • Uplink massive MIMO

ASJC Scopus subject areas

  • Computer Networks and Communications

Cite this

Li, C., Zhang, J., Song, S., & Letaief, K. (2016). Selective uplink training for massive MIMO systems. In 2016 IEEE International Conference on Communications, ICC 2016 [7511214] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICC.2016.7511214

Selective uplink training for massive MIMO systems. / Li, Changming; Zhang, Jun; Song, Shenghui; Letaief, Khaled.

2016 IEEE International Conference on Communications, ICC 2016. Institute of Electrical and Electronics Engineers Inc., 2016. 7511214.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Li, C, Zhang, J, Song, S & Letaief, K 2016, Selective uplink training for massive MIMO systems. in 2016 IEEE International Conference on Communications, ICC 2016., 7511214, Institute of Electrical and Electronics Engineers Inc., 2016 IEEE International Conference on Communications, ICC 2016, Kuala Lumpur, Malaysia, 22/5/16. https://doi.org/10.1109/ICC.2016.7511214
Li C, Zhang J, Song S, Letaief K. Selective uplink training for massive MIMO systems. In 2016 IEEE International Conference on Communications, ICC 2016. Institute of Electrical and Electronics Engineers Inc. 2016. 7511214 https://doi.org/10.1109/ICC.2016.7511214
Li, Changming ; Zhang, Jun ; Song, Shenghui ; Letaief, Khaled. / Selective uplink training for massive MIMO systems. 2016 IEEE International Conference on Communications, ICC 2016. Institute of Electrical and Electronics Engineers Inc., 2016.
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