Introduction:
The Signal Processing and Communication Research Group (COMSIG) is a research group funded by Ton Duc Thang University and affiliated with the Faculty of Electrical and Electronic Engineering. The goal of the COMSIG group is to provide research solutions for implementing signal processing in communication systems and the robotics industry, as well as increasing capacity and operational capabilities based on the use of bandwidth, larger coverage, and multi-antenna communication for future 5G and 6G networks.
Mission and Vision:
Internet of Things (IoT) communication systems have become a crucial application in 5G networks and beyond. With the development of IoT systems, billions of connected users (IoTUs) will provide various applications, for example: smart cities, healthcare, military, and agriculture. New applications in future IoT systems require performance criteria such as high connectivity, security, reliability, wide coverage, ultra-low latency, high throughput, etc., for a large number of IoT devices. To meet these requirements, 5G technology and its long-term development are expected to provide new connectivity interfaces for future IoT applications. In addition, signal processing also plays a crucial role in the fields of 5G, IoT, telecommunications, as well as in the robotics industry, etc. These scenarios present significant design challenges for academic and industrial researchers. This research group was established with the aim of proposing research solutions for deploying 5G and IoT networks, as well as applying advanced signal processing to systems such as 6G, smart reflective surfaces, backscatter, massive MIMO, and future robot control and fabrication techniques. Furthermore, other solutions should also be proposed for future wireless networks to improve capacity through the use of greater bandwidth, wider coverage, and multi-antenna transmission. Signal processing will also improve AI technology to make robots operate more accurately, as well as help communication systems decode and encode signals better.
Research topics:
a. Energy Harvesting (EH) supported in cooperative networks: In cooperative networks, EH techniques can be applied in clean energy telecommunication systems with two common techniques: amplification and relaying (AF) and decoding and relaying (DF). Furthermore, relay nodes can be powered from RF signal sources or from other wireless power sources.
b. Cognitive radio: Cognitive radio can improve spectral efficiency by enabling secondary users (SUs) to share spectrum with primary users (PUs). Furthermore, wireless power technology provides cognitive radio networks with a better alternative in harnessing their energy, which also helps to extend the system's lifespan under energy-constrained conditions.
c. Physical Layer Security: The concept of physical layer security refers to eavesdropping channels attempting to intercept information from sources and relay nodes. Major research in this area will focus on preventing eavesdropping channels, evaluating system quality, and finding solutions to improve system quality.
d. Satellite and UAV Networks: Satellite communication has become popular in the 5th and 6th generations (5G and 6G) due to its benefits in various applications such as navigation, disaster mitigation, and omnidirectional broadcasting capabilities. On the other hand, UAV systems have potential applications in future communication systems thanks to their mobility and flexibility. In particular, UAVs can be used to connect IoT devices on the ground or to establish communication links in the event of natural disasters. Furthermore, UAVs also play a crucial role in transmitting signals from satellites to ground users.
e. Signal Processing in Robotics: Signal processing output plays a vital role in managing risks in robotic and automation systems. Signal processing ensures that there is sufficient sensor data to control future automation issues and optimize communication pathways.
