Special Issue "Channel Estimation and Adaptive Modulation"
Deadline for manuscript submissions: 31 March 2021.
Interests: digital signal processing for communications; channel estimation and synchronization for OFDM; channel characterization and modelling; the latter with particular focus on Power Line Communications
Interests: digital signal processing for communications; synchronization; channel estimation; performance analysis of wireless systems; spectral shaping; channel modelling
Channel estimation (CS) and adaptive modulation (AM) are key physical layer techniques to enhance spectral efficiency over time/frequency/spatial variant channels while maintaining a target error rate.
At present, these tasks have to be performed in communication channels with a large variety of characteristics, which range from channel response sparsity, as in the upcoming fifth-generation (5G) millimeter-wave communications; extremely rapid channel response variations, as in underwater acoustic (UWA) and vehicle-to-everything (V2X) communications; and cyclostationary noise, as in power line communications (PLC), just to mention a few examples.
The diversity of system features and operation modes (e.g., massive MIMO and in-band full-duplex), receiver architectures (e.g., iterative architectures), network configurations (e.g., relay networks), and processing techniques (e.g., machine learning) have also widened the catalogue of CS and AM strategies and methods.
This Special Issue is aimed at collecting high-quality contributions addressing CS and AM problems in all communication scenarios. Hence, possible topics include but are not limited to the following:
- Decision-directed and pilot-based CS;
- Compressed-sensing and parametric model-based CS;
- CS with non-orthogonal pilot signals;
- CS in single and multicarrier systems;
- CS in single and multiple input–output systems;
- Blind CS;
- Iterative CS;
- CS and AM using machine learning;
- CS and AM for optical communication systems;
- CS and AM for new channel fading models;
- CS and AM in relay networks;
- AM, coding, and HARQ;
- AM and network coding;
- AM with adaptive threshold;
- AM using unconventional symbol constellations (hexagonal, hierarchical, etc.);
- Efficient CSI feedback transmission;
- Blind recognition of modulation and coding level;
- AM oriented by QoS requirements;
- AM performance in cellular networks;
- AM for cognitive radio systems.
Assoc. Prof. Dr. José Antonio Cortés Arrabal
Assoc. Prof. Dr. Eduardo Martos-Naya
Manuscript Submission Information
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