Advanced Information Theory
- Review of Basic information theoretic topics
-Information Measures, Typicality, Inequalities,
-On Source Coding and Channel Coding
-Differential Entropy and Gaussian Channel
-Information Theoretic learning
- Capacity of wireless channels
Parallel Gaussian Channel and EPI inequality
Channel Capacity of point-to-point fading channel
Ergodic capacity v.s. Outage capacity
Fading channel with Channel State Information
Water-filling solution
Spectral efficiency, Energy efficiency and modulation
- MIMO Channel Capacity, Point-to-point MIMO systems, and Massive MIMO systems
- Multiuser Capacity and Opportunistic Communication
Multiple Access Channel (MAC)
Time Sharing and Non-orthogonal-MA
Broadcast Channel (BC)
Superposition technique
Interference channel (IC)
State-dependent channel and Dirty-paper coding (DPC)
Relay channel (RC)
AF, DF, CF,
Channels with Feedback (Interactive Channel coding)
State dependent Channel
- Applications of Information Theory in Communications and Achievable rate ANalysis:
Molecular communications
massive MIMO Systems
Intelligent Reflecting Surfaces (IRS)
, Energy Harvesting and SWIPT , Green Communications
Optical Wireless Communications
Network coding
Interference alignment
Information theoretic learning and estimation theory
Communication for computing
Information theoretic secrecy
RF impairments such as amplifier