Communication and Signal processing Research Group (COMSIG)

1. Introduction:

Communication and Signal processing Research Group (COMSIG) is a research group funded by Ton Duc Thang University and under the administration of Faculty of Electrical and Electronics Engineering. The goal of the WICOM team is to come up with research solutions to deploy the signal processing in the communication systems and robotics industry as well as increase capacity, operability based on bandwidth usage, larger coverage area and information transmission by multiple antennas of 5G, 6G networks in the future.

2. Mission and vision:

The Internet of Things (IoT) communication system has become an importation application in the 5G and beyond networks. With the evolution of IoT, billions of connected IoT users (IoTUs) will provide various applications, e.g., smart city, health, military, and agriculture. New applications and business models in the future IoT networks require new performance criteria such as massive connectivity, security, trustworthiness, broad coverage, ultra-low latency, high throughput, ultra-reliable, et al. for a huge number of IoT devices. To meet these requirements, the evolving Long Term Evolution (LTE) and 5G technologies are expected to provide new connectivity interfaces for future IoT applications. Besides, signal processing also plays an important role in the fields of 5G, IoT, telecommunications, as well as in the robotics industry, etc. These perspectives impose significant design challenges for academic and industrial researchers. This project aims to propose research solutions to deploy 5G and IoT networks as well as apply advanced signal processing for beyond networks (6G, symbiotic, backscatter, intelligent reflecting surfaces, massive mimo, etc.), and control techniques, robot manufacturing in the future. Moreover, other solutions should also be proposed for future wireless networks to provide capacity improvements through the use of larger bandwidths, broader coverage, and multi-antenna transmission. The others in signal processing should improve AI technology to make robots work more accurately as well as helping the information systems to decode and encode signals better.

3. Research areas:

A. Energy harvesting (EH) enabled cooperative networks: in cooperative networks, EH techniques can be applied as green communication for amplify-and-forward (AF) and Decode-and-Forward (DF) relaying. Moreover, the relay nodes can be powered from an RF signal source or other microwave-enable wireless energy transfer sources in this technology.

B. Cognitive radio: cognitive radio can improve the spectral efficiency by facilitating the secondary users (SUs) to share the spectrum with the primary users (PUs). In addition, wireless power technology provides the cognitive radio a greener alternative to harness energy for its operation, which also helps enhance its lifetime under the energy constraints.

C. Physical layer security: The concept of physical layer security is that eavesdroppers try to overhear information from a source and relay nodes. The main research in this field will focus on how to prevent wiretap channels, evaluate the quality of the system, and find the solutions to enhance the system quality.

D. Satellite and UAVs networks: Satellite communications have become popular in the fifth and sixth generation (5G and 6G) communications due to their advantages in various applications such as navigation, disaster relief, defense, and inherent broadcasting/multicasting capabilities. On the other hand, Unmanned Aerial Vehicles (UAVs) have great potential applications to future communications systems thanks to their high mobility and flexibility.  Specifically, UAVs can be utilized to connect ground IoTs or to establish communications in case of damaged infrastructure in disaster regions. Moreover, UAV devices are also very important to connect the signals transmitted from the satellites to the ground users.  

E. Signal processing in Robotic: Signal processing output is highly significant in robots and autonomous systems mainly for managing uncertainty. Signal processing ensures that there is sufficient sensor data, future autonomous actions are controlled and communication lines are optimal.

4. Members:

Tan

Dr. Nguyen Nhat Tan

Positions: Head of COMSIG Research Group

Areas of expertise: cooperative network, physical layer security, signal processing.

Research track record:

• ISI papers: 42

• Total ISI Citations: 277

• ISI H-index: 10

• At most 5 top journals:

- IEEE Transaction on Vehicular Technology.

- IEEE Internet of Things.

- Ad-hoc networks.

- IEEE Access.

- Computer network.

Voznak

Prof. Miroslav Voznak

Positions: Member of COMSIG Research Group

Areas of expertise: cooperative network, network security, speech signal processing.

Research track record:

• ISI papers: over 200.

• Total ISI Citations: 1184.

• ISI H-index: 19

• At most 5 top journals:

- IEEE Transaction on Vehicular Technology.

- IEEE Internet of Things.

- Ad-hoc networks.

- IEEE Access.

- Computer network.

Kim

Prof. Byung-Seo Kim

Positions: Member of COMSIG Research Group

Areas of expertise: cooperative networks, IoT networks.

Research track record:

• ISI papers: over 150

• Total ISI Citations: 2206

• ISI H-index: 23

• At most 5 top journals:

- IEEE Access.

- IEEE Internet of Things.

- Future Generation Computer Systems.

- Sensors.

- Journal of Network and Computer Applications.

Fabio

Associate Prof. Peppino FAZIO

Positions: Collaborator of COMSIG Research Group

Areas of expertise: mobile communication networks, QoS architectures and internetworking.

Research track record:

• ISI papers: 35

• Total ISI Citations: 559

• ISI H-index: 14

• At most 5 top journals:

- IEEE Access.

- IEEE Communications Surveys & Tutorials.

- IEEE/ACM Transactions on Networking.

- IEEE Transactions on Vehicular Technology.

- IEEE Transactions on Mobile Computing.

5. Publications:

6. Van-Duc Phan, Tan N. Nguyen, Anh Vu Le and Miroslav Voznak, "A Study of Physical Layer Security in SWIPT-Based Decode-And-Forward Relay Networks with Dynamic Power Splitting", Sensors, Vol.21, No.17,  Art.no. 5692, Aug. 2021. (SCIE)

5. Phu Tran Tin, Tan N. Nguyen, Dinh-Hieu Tran, Miroslav Voznak, Van-Duc Phan and Symeon Chatzinotas,"Performance Enhancement for Full-Duplex Relaying with Time Switching-Based SWIPT in Wireless Sensors Networks", Sensors, Vol.21, No.11, Art.no 3847, Jun.2021. (SCIE)

4. V.Prabakaran, Anh Vu Le, P.T.Kyaw, R.E.Mohan, P.Kandasamy, Tan N. Nguyen and M.Kannan, "Hornbill: A Self-Evaluating Hydro-Blasting Reconfigurable Robot for Ship Hull Maintenance", IEEE Access, Vol.8, pp.193790-193800, Oct.2020. (SCIE)

3. Ha Duy-Hung, Tan N. Nguyen, Minh Tran, Xingwang Li, Phuong T. Tran and Miroslav Voznak,"Security Analysis of a Two-Way Half-Duplex Wireless Relaying Network Using Partial Relay Selection and Hybrid TPSR Energy Harvesting at Relay Nodes", IEEE Access, Vol.8, pp.187165-187181, Oct.2020. (SCIE)

2. Tan N. Nguyen, Phuong T. Tran and Miroslav Voznak,"Wireless Energy Harvesting Meets Receiver Diversity: A Successful Approach for Two-Way Half-Duplex Relay Networks over Block Rayleigh Fading Channel", Computer Networks, Vol.172, May.2020. (SCIE)

Ba Cao Nguyen, Tran Manh Hoang, Phuong T. Tran, Tan N. Nguyen,"Outage Probability of NOMA System with Wireless Power Transfer at Source and Full-duplex Relay", AEU-International Journal of Electronics and Communications, Vol.116, Mar.2020. (SCIE)

1. Tan N. Nguyen, T.H.Q.Minh, Phuong T. Tran, Miroslav Voznak, T.T.Duy, Thanh-Long Nguyen and Phu Tran Tin,"Performance Enhancement for Energy Harvesting Based Two-Way Relay Protocols in Wireless Ad-hoc Networks with Partial and Full Relay Selection Methods", Ad-hoc networks, Vol.84, pp. 178-187, Mar.2019. (SCIE)