Multicarrier-Division Duplex for Solving the Channel Aging Problem in Massive MIMO Systems
Bohan Li, Lie-Liang Yang, Robert G Maunder, Songlin Sun, Pei Xiao

TL;DR
This paper introduces a multicarrier-division duplex (MDD) scheme for massive MIMO systems that effectively mitigates channel aging in fast-varying channels, outperforming traditional TDD and IBFD methods.
Contribution
The paper proposes a novel MDD scheme with specialized frame structures and channel prediction methods to address channel aging in fast-varying massive MIMO channels, offering a practical alternative to TDD and IBFD.
Findings
MDD outperforms TDD in fast-varying channels.
The proposed Wiener predictors effectively estimate channel states.
Closed-form rate bounds demonstrate MDD's superiority.
Abstract
The separation of training and data transmission as well as the frequent uplink/downlink (UL/DL) switching make time-division duplex (TDD)-based massive multiple-input multiple-output (mMIMO) systems less competent in fast time-varying scenarios due to the resulted severe channel aging. To this end, a multicarrier-division duplex (MDD) mMIMO scheme associated with two types of well-designed frame structures are introduced for combating channel aging when communicating over fast time-varying channels. To compare with TDD, the corresponding frame structures related to 3GPP standards and their variant forms are presented. The MDD-specific general Wiener predictor and decision-directed Wiener predictor are introduced to predict the channel state information, respectively, in the time domain based on UL pilots and in the frequency domain based on the detected UL data, considering the impact…
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