Abstract
We propose Joint Spatial Division and Multiplexing (JSDM), an approach to multiuser MIMO downlink that exploits the structure of the channel vectors correlation in order to allow for a large number of base station antennas while requiring a considerably reduced channel state information (CSI) feedback from the users. Thanks to the reduced CSI requirement, JSDM allows the use of a large number of base station antennas also in FDD systems. This work presents the correlated channel model, the main idea of JSDM precoding, and the design of JSDM precoding, formed by the concatenation of a pre-beamforming matrix based only on the structure of the channel covariance, with suitable multiuser precoding based on the CSI of the reduced dimensional transformed channels. We show that in some cases JSDM incurs no loss of optimality with respect to the MIMO broadcast channel with full CSI.
Keywords
PrecodingMIMOChannel state informationTelecommunications linkComputer scienceBase stationBeamformingSpatial multiplexingConcatenation (mathematics)MultiplexingSpatial correlationChannel (broadcasting)Zero-forcing precodingMIMO-OFDMTelecommunicationsWirelessMathematics
Affiliated Institutions
Related Publications
Pilot contamination problem in multi-cell TDD systems
This paper considers a multi-cell multiple antenna system with precoding at the base stations for downlink transmission. To enable precoding, channel state information (CSI) is ...
A Coordinated Approach to Channel Estimation in Large-Scale Multiple-Antenna Systems
This paper addresses the problem of channel estimation in multi-cell interference-limited cellular networks. We consider systems employing multiple antennas and are interested i...
PAR-Aware Large-Scale Multi-User MIMO-OFDM Downlink
We investigate an orthogonal frequency-division multiplexing (OFDM)-based downlink transmission scheme for large-scale multi-user (MU) multiple-input multiple-output (MIMO) wire...
EVD-based channel estimation in multicell multiuser MIMO systems with very large antenna arrays
This paper considers multicell multiuser MIMO systems with verylarge antenna arrays at the base station. We propose an eigenvalue-decomposition-based approach to channel estimat...
Argos
Multi-user multiple-input multiple-output theory predicts manyfold capacity gains by leveraging many antennas on wireless base stations to serve multiple clients simultaneously ...
Publication Info
- Year
- 2012
- Type
- article
- Citations
- 151
- Access
- Closed
External Links
Social Impact
Altmetric
PlumX Metrics
Social media, news, blog, policy document mentions
Citation Metrics
151
OpenAlex
Cite This
Junyoung Nam,
Jae‐Young Ahn,
Ansuman Adhikary
et al.
(2012).
Joint spatial division and multiplexing: Realizing massive MIMO gains with limited channel state information.
.
https://doi.org/10.1109/ciss.2012.6310934
Identifiers
- DOI
- 10.1109/ciss.2012.6310934