A Survey on MIMO Transmission with Discrete Input Signals: Technical Challenges, Advances, and Future Trends
arXiv:1704.07611
Abstract
Multiple antennas have been exploited for spatial multiplexing and diversity transmission in a wide range of communication applications. However, most of the advances in the design of high speed wireless multiple-input multiple output (MIMO) systems are based on information-theoretic principles that demonstrate how to efficiently transmit signals conforming to Gaussian distribution. Although the Gaussian signal is capacity-achieving, signals conforming to discrete constellations are transmitted in practical communication systems. As a result, this paper is motivated to provide a comprehensive overview on MIMO transmission design with discrete input signals. We first summarize the existing fundamental results for MIMO systems with discrete input signals. Then, focusing on the basic point-to-point MIMO systems, we examine transmission schemes based on three most important criteria for communication systems: the mutual information driven designs, the mean square error driven designs, and the diversity driven designs. Particularly, a unified framework which designs low complexity transmission schemes applicable to massive MIMO systems in upcoming 5G wireless networks is provided in the first time. Moreover, adaptive transmission designs which switch among these criteria based on the channel conditions to formulate the best transmission strategy are discussed. Then, we provide a survey of the transmission designs with discrete input signals for multiuser MIMO scenarios, including MIMO uplink transmission, MIMO downlink transmission, MIMO interference channel, and MIMO wiretap channel. Additionally, we discuss the transmission designs with discrete input signals for other systems using MIMO technology. Finally, technical challenges which remain unresolved at the time of writing are summarized and the future trends of transmission designs with discrete input signals are addressed.
arXiv comment110 pages, 512 references, submit to Proceedings of the IEEE
References in corpus (24)
- Robust Beamforming for Security in MIMO Wiretap Channels with Imperfect CSI
- Joint Source and Relay Precoding Designs for MIMO Two-Way Relaying Based on MSE Criterion
- Robust Monotonic Optimization Framework for Multicell MISO Systems
- A General Robust Linear Transceiver Design for Multi-Hop Amplify-and-Forward MIMO Relaying Systems
- Vector Precoding for Wireless MIMO Systems: A Replica Analysis
- Multi-Branch Tomlinson-Harashima Precoding for MU-MIMO Systems: Theory and Algorithms
- Design of Block Transceivers with Decision Feedback Detection
- Full Diversity Codes for MISO Systems Equipped with Linear or ML Detectors
- High-SNR Asymptotics of Mutual Information for Discrete Constellations with Applications to BICM
- On Secrecy Rate Analysis of MIMO Wiretap Channels Driven by Finite-Alphabet Input
- Transceiver Design for Dual-Hop Non-regenerative MIMO-OFDM Relay Systems Under Channel Uncertainties
- Fast-Decodable Asymmetric Space-Time Codes from Division Algebras
- Robust Transceiver with Tomlinson-Harashima Precoding for Amplify-and-Forward MIMO Relaying Systems
- Statistical Physics of Signal Estimation in Gaussian Noise: Theory and Examples of Phase Transitions
- Filter Design with Secrecy Constraints: The MIMO Gaussian Wiretap Channel
- Block-Orthogonal Space-Time Code Structure and Its Impact on QRDM Decoding Complexity Reduction
- Iterative distributed minimum total-MSE approach for secure communications in MIMO interference channels
- Transmit Designs for the MIMO Broadcast Channel with Statistical CSI
- Optimum estimation via gradients of partition functions and information measures: a statistical-mechanical perspective
- Asymptotic Analysis of SU-MIMO Channels With Transmitter Noise and Mismatched Joint Decoding
- Sequential and Incremental Precoder Design for Joint Transmission Network MIMO Systems with Imperfect Backhaul
- Asymptotic Performance Analysis of a K-Hop Amplify-and-Forward Relay MIMO Channel
- Full-Diversity Precoding Design of Bit-Interleaved Coded Multiple Beamforming with Orthogonal Frequency Division Multiplexing
- Distributed Space-Time Block Codes for the MIMO Multiple Access Channel