Information Coding Technology and Application

``Information coding is the process of converting information into a format that can be easily transmitted and stored by a computer or other electronic devices. This involves the use of specific codes, such as binary code or ASCII code, to represent information in a way that can be understood and processed by machines.’’

In Wikipedia, it refers to:

However, information coding can do a lot actively and `` creatively’’, if specific data structures are embedded into coding structures.   Do you know the following phenomenon in ion trap?

 

Similarly but in a different way, one of our interesting findings is that information coding with specific structures can create prior `` beneficial’’ traps in security. For example, when we attempt to research a bit coding scheme to defend against jamming attack, we develop a thresholded cover-free code based encoding/decoding mechanism on random domain to disperse the effect of attack and enhance the decoding process by using group spatial channel features.

 

Fig. Spatial channel features patterns of legitimate user (LU) shown in physical environment

The above just show a little and interesting result in coding theory. Welcome more coming into this area. We still have a long way to go

Quantum Information Processing and Applications

How can we exploit quantum information to better deal with computing, security and many others in computer and communications network? The following is selected from my invited talk in seminar.

 

Fundamental Issue:

 

Core Issue:

 

Current Work and Future Research Direction:

 

Intelligent Communications Technology and Applications

We are applying artificial intelligence (AI) and machine learning (ML) to radiofrequency (RF) signals for defense applications.

Fig 1 System model of FWSResNet based radio device’s identification.

Fig 2 Different order scattering coefficients from FWSResNet

We are applying reinforcement learning (RL) and federated learning (FL) to edge computing

Fig 3 System model of RL and RL based edge computing in 5G

We are also applying AI to LoRa device identification

Fig 4 The proposed hybrid DFSNet architecture for LoRa fingerprinting