The Workshop titled “Artificial intelligence and Machine Learning for Signal Processing and Wireless Communication Systems” is collocated with5th edition of the International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET) technically co-sponsored by IEEE, will be held at the Department of Electronics & Communication Engineering, Sri SivasubramaniyaNadar College of Engineering, Chennai-603110, India, from March 19 - 21, 2020.The workshop aims to foster fruitful interactions among signal designers, researchers and communications practitioners from all over the world.
Challenges : Internet traffic is exponentially growing. The 5G standard proposes a peak data rate of 20Gbps over the air. Internet of Things (IoT) is expected to connect billions of devices to the internet. New technologies such as Virtual Reality(VR), Augmented Reality(AR), Vehicle-to-Vehicle(V2V) communications are being developed every day. This ever-changing field of communications not only demands the future wireless communication systems to deliver high data rates but also to be robust, dynamic, and adaptable to the application/environment in which they are deployed. To cater to these diverse demands, the future wireless communication must intelligently utilize the resources allocated. They must be capable of perceiving the wireless environment and must learn to autonomously adapt their operation to maximize the use of allocated resources.
Motivation : Since the inception of Artificial Intelligence (AI), it has been successfully applied to various disciplines. The field of AI itself saw major advancements in recent years with the development of new approaches such as Machine Learning (ML), Deep Learning (DL) and Deep Reinforcement Learning (DRL). These new techniques have found successful applications in the field of computer vision, natural language processing, computer security and many more areas. Application of AI techniques to these fields has greatly improved their performance. With the diverse requirements of the future wireless communication, the traditional methods will no longer be suitable for their efficient operation. Hence, AI, when applied to signal processing and wireless communication has a great potential to improve the performance and meet the requirements of next-gen wireless communication.
Topics: The topics of this workshop include, but are not limited to, the topics listed below:
In this workshop, we invite submission of papers, which are not previously published, on AI and ML techniques and their application in wireless communication systems.
Papers presenting new results in the above areas are hereby solicited. Onlyelectronic submissions via the conference website in PDF formats are accepted. Each submission must be at most 5 pages in length and conform to the double-column IEEE conference proceedings format.
All papers should follow the IEEE conference template:http://www.ieee.org/conferences_events/conferences/publishing/templates.html
Dr. Sudhan Majhi
Associate Professor, Dept of EE, IIT Patna, Bihta
Editor of IEEE Transactions on Vehicular Technology Senior Editor of IEEE Communications Letters