A Unified Transmission Strategy for TDD/FDD Massive MIMO Systems With Spatial Basis Expansion Model

• Published in: IEEE transactions on vehicular technology Vol. 66; no. 4; pp. 3170 - 3184
• Main Authors: Xie, Hongxiang, Gao, Feifei, Zhang, Shun, Jin, Shi
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.04.2017; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Angle reciprocity; Antenna arrays; Channel estimation; Data communication; Data transmission; direction of arrival (DOA); discrete Fourier transform (DFT); Discrete Fourier transforms; Frequency division duplexing; Linear antenna arrays; massive multiple input multiple output (MIMO); Mathematical models; MIMO; MIMO (control systems); Pilot training; Scheduling; Signal processing; spatial basis expansion model (SBEM); Spatial data; Training
• ISSN: 0018-9545; 1939-9359
• DOI: 10.1109/TVT.2016.2594706

This paper proposes a unified transmission strategy for multiuser time division duplex (TDD)/frequency division duplex (FDD) massive multiple-input-multiple-output (MIMO) systems, including uplink (UL)/downlink (DL) channel estimation and user scheduling for data transmission. With the aid of antenna array theory and array signal processing, we build a spatial basis expansion model (SBEM) to represent the UL/DL channels with far fewer parameter dimensions. Hence, both the UL and DL channel estimations of multiusers can be carried out with a small amount of training resource, which significantly reduces the training overhead and feedback cost. Meanwhile, the pilot contamination problem in the UL training is immediately relieved by exploiting the spatial information of users. To enhance the spectral efficiency, we also design a greedy user scheduling scheme during the data transmission period. Compared with existing low-rank models, the newly proposed SBEM offers an alternative for channel acquisition without the need for channel statistics and can be applied to both TDD and FDD systems. Various numerical results are provided to corroborate the proposed studies.