A Unified Transmission Strategy for TDD/FDD Massive MIMO Systems With Spatial Basis Expansion Model
By Hongxiang Xie, F. Gao, Shun Zhang, Shi Jin. IEEE Transactions on Vehicular Technology, 2017
445 citations recorded by the source corpus.
Subfields: Aerospace Engineering, Electrical and Electronic Engineering, Signal Processing
View Paper: https://www.semanticscholar.org/paper/29cbc7d90b3c3b3b23bde5c949f3c1da312c9c5d
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Aerospace Engineering
- Geoffrey Y. Li
- Shi Jin
- F. Gao
- Gary Boudreau
- Kothapalli Venkata Srinivas
- Hussein A. Ammar
- Guan Gui
- Linglong Dai
In Electrical and Electronic Engineering
In Signal Processing
Citations in the corpus
- User-Centric Cell-Free Massive MIMO Networks: A Survey of Opportunities, Challenges and Solutions (2021, background): “We note that, in FDD systems, downlink CSI estimation can still benefit from angle reciprocity when the uplink and downlink carrier frequencies being used are relatively close to each other [110].”
- Deep Learning for Super-Resolution Channel Estimation and DOA Estimation Based Massive MIMO System (2018, methodology): “In [17], a unified transmission framework for multiuser time division duplex (TDD)/frequency division duplex (FDD) massive MIMO systems was explored, in which uplink (UL)/downlink channel estimation performance for data transmission was studied.”
- Spatial- and Frequency-Wideband Effects in Millimeter-Wave Massive MIMO Systems (2017, methodology): “The extension to low frequency-band communications can be straightforwardly made by counting the angular spread caused by local scattering [15], [31].”
- Channel Estimation for Orthogonal Time Frequency Space (OTFS) Massive MIMO (2019, methodology): “In [31], a spatial-domain BEM was developed to further reduce the effective dimensions of massive MIMO time-variant channels,”