Suppressing Pilot Contamination in Massive MIMO Downlink via Cross-Frame Scheduling
A novel downlink scheduling strategy for time-division duplexing massive multiple-input multiple-output networks is proposed to relieve the pilot contamination. Specifically, users of slow-channel variation and simultaneous uplink pilot transmission are scheduled in different downlink subframes for...
Main Authors: | , , |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2018-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8435911/ |
_version_ | 1819163212974653440 |
---|---|
author | Zezhong Zhang Yang Li Rui Wang |
author_facet | Zezhong Zhang Yang Li Rui Wang |
author_sort | Zezhong Zhang |
collection | DOAJ |
description | A novel downlink scheduling strategy for time-division duplexing massive multiple-input multiple-output networks is proposed to relieve the pilot contamination. Specifically, users of slow-channel variation and simultaneous uplink pilot transmission are scheduled in different downlink subframes for adjacent cells, and hence the pilot contamination is significantly suppressed at the price of outdated channel state information. We investigate this trade-off by deriving the distribution of downlink signal-to-interference ratio in terms of Doppler effect, which can be approximated tightly and simply by Gaussian distribution. Based on it, a learning-based algorithm is developed for robust downlink rate allocation without priori knowledge on the users' distribution. It is shown that the proposed cross-frame strategy can effectively improve the overall downlink performance of cell-edge users. |
first_indexed | 2024-12-22T17:40:33Z |
format | Article |
id | doaj.art-95425cacc1ec4b23843b1a65a84dab46 |
institution | Directory Open Access Journal |
issn | 2169-3536 |
language | English |
last_indexed | 2024-12-22T17:40:33Z |
publishDate | 2018-01-01 |
publisher | IEEE |
record_format | Article |
series | IEEE Access |
spelling | doaj.art-95425cacc1ec4b23843b1a65a84dab462022-12-21T18:18:26ZengIEEEIEEE Access2169-35362018-01-016448584486710.1109/ACCESS.2018.28654418435911Suppressing Pilot Contamination in Massive MIMO Downlink via Cross-Frame SchedulingZezhong Zhang0Yang Li1Rui Wang2https://orcid.org/0000-0003-0044-8932Department of Electronic and Electrical Engineering, Southern University of Science and Technology, Shenzhen, ChinaDepartment of Electronic and Electrical Engineering, Southern University of Science and Technology, Shenzhen, ChinaDepartment of Electronic and Electrical Engineering, Southern University of Science and Technology, Shenzhen, ChinaA novel downlink scheduling strategy for time-division duplexing massive multiple-input multiple-output networks is proposed to relieve the pilot contamination. Specifically, users of slow-channel variation and simultaneous uplink pilot transmission are scheduled in different downlink subframes for adjacent cells, and hence the pilot contamination is significantly suppressed at the price of outdated channel state information. We investigate this trade-off by deriving the distribution of downlink signal-to-interference ratio in terms of Doppler effect, which can be approximated tightly and simply by Gaussian distribution. Based on it, a learning-based algorithm is developed for robust downlink rate allocation without priori knowledge on the users' distribution. It is shown that the proposed cross-frame strategy can effectively improve the overall downlink performance of cell-edge users.https://ieeexplore.ieee.org/document/8435911/Massive MIMOuser schedulingreinforcement learningDoppler effect |
spellingShingle | Zezhong Zhang Yang Li Rui Wang Suppressing Pilot Contamination in Massive MIMO Downlink via Cross-Frame Scheduling IEEE Access Massive MIMO user scheduling reinforcement learning Doppler effect |
title | Suppressing Pilot Contamination in Massive MIMO Downlink via Cross-Frame Scheduling |
title_full | Suppressing Pilot Contamination in Massive MIMO Downlink via Cross-Frame Scheduling |
title_fullStr | Suppressing Pilot Contamination in Massive MIMO Downlink via Cross-Frame Scheduling |
title_full_unstemmed | Suppressing Pilot Contamination in Massive MIMO Downlink via Cross-Frame Scheduling |
title_short | Suppressing Pilot Contamination in Massive MIMO Downlink via Cross-Frame Scheduling |
title_sort | suppressing pilot contamination in massive mimo downlink via cross frame scheduling |
topic | Massive MIMO user scheduling reinforcement learning Doppler effect |
url | https://ieeexplore.ieee.org/document/8435911/ |
work_keys_str_mv | AT zezhongzhang suppressingpilotcontaminationinmassivemimodownlinkviacrossframescheduling AT yangli suppressingpilotcontaminationinmassivemimodownlinkviacrossframescheduling AT ruiwang suppressingpilotcontaminationinmassivemimodownlinkviacrossframescheduling |