CNL - Wireless AI Connectivity

Wireless AI - AI/ML Empowered 5G/6G, Connected Car, and IoT Artificial Intelligence (AI) empowered PHY, MAC, and network layers for 6G: AI, which learns from the perceived environment and can exploit the increasingly massive datasets available from wireless systems, can be used to solve complex and previously intractable problems. Many problems in wireless communication systems, such as decision making, resource optimization, and network management, can be cast in a form that is suitable to be solved by AI techniques. Hence, AI technologies have been applied to improve the performance of 5G/6G wireless communication systems. Deep learning (DL) for wireless resource allocation, CSI feedback, and interference mitigation: Resource management problems in systems and networking often manifest as difficult online decision making tasks where appropriate solutions depend on understanding the workload and environment. We apply recent DL technologies to wireless networks. Deep reinforcement learning (DRL) for wireless and mobile networking: The integration of DRL into future wireless networks will revolutionize the conventional model-based network optimization to model-free approaches and meet various application demands. By interacting with the environment, DRL provides an autonomous decision-making mechanism for the network entities to solve non-convex, complex model-free problems, e.g., spectrum access, handover, scheduling, caching, data offloading, and resource allocation.

Wireless Connectivity - Radio access technologies for 5G/6G, V2X, and IoT Integrated sensing and communication (ISAC) ISAC refers to the design paradigm and corresponding enabling technologies that combine sensing and communication systems to utilize resources efficiently and even to pursue mutual benefits. ISAC can acquire two main advantages over dedicated sensing and communication functionalities: 1) Integration gain to efficiently utilize congested resources for dual use of both communications and sensing, and even more interesting, 2) Coordination gain to balance dual-functional performance or/and perform mutual assistance. ISAC has been recently identified as an enabling technology for B5G/6G. 5G/6G cellular connectivities cover architectures and protocols for 5G/6G wiereless communications and networking. Research topics are learning-based radio resource management, NR technologies for 5G and beyond, multiple-input multiple-output (MIMO), device-to-device communications, etc. Vehicle-to-everything (V2X) connectivities: C-V2X is a growing area of communications between vehicles and including roadside communication infrastructure. Advances in wireless communications are making possible sharing of information through real time communications between vehicles and infrastructure. This has led to applications to increase safety of vehicles and communication between passengers and the Internet. IoT connectivities cover NB-IoT, LoRa, Wi-Fi, and Bluetooth. Research topics are response time and energy efficiency of IoT devices discovery; wireless access and communications technologies; conectivity and clustering; network platforms; coexistance of BT/Wi-Fi in the crowded 2.4GHz networks; and qalfication and improvement of audio chooping over bluetooth A2DP.

Videos

대학원 진학자를 위한 연구실 소개자료 요약 자료 | PDF 보기  |  동영상 보기 (7:30)         [Youtube] 5G NR Webinar Apis Training         [Youtube] Moving toward ISAC in 6G Nokia Bell Labs by Prof. J. So, EE, Sogang Univ.     by Erik Dahlman, Sep. 2018.     by Dr. Thorsten Wild, Head of Next Generation Wireless, Nokia, Feb. 2023

Notice to Prospective Students (석사/박사/석박통합^† 과정 모집)

We welcome prospective students^‡ who are interested in Machine learning, 5G/6G cellular networks, V2X, and IoT.
Scholarships, grant funds, and incentives will be offered on the basis of his/her participation in the projects.

	How to apply Applicants are asked to submit your resume and transcript to Professor via email. 지원 방법: 교수님께 지원서와 성적증명서를 이메일로 전송합니다. ( 지원서 양식 받기) 이메일 문의: jwso AT sogang.ac.kr
	참고 자료 연구실 졸업생 취업 현황 (회사 리스트) 서강대학교 공학부 뉴스레터 (우수연구실 소개) 통신분야 교과목 및 참고자료 디자인프로젝트(EEE4185, 4학년) 신청자를 위한 안내 - 진행 과정 및 주제들 Prof. J. So, Youtube "SoClassTV"   Prof. J. So, Intro. Wireless Communications, May 2019. IEEE ComSoc, Best Readings in Machine Learning in Communications, March 2019.

^† 석박통합 과정 지원자는 조기 수료 요건을 만족하는 경우, 3년에 박사 수료가 가능하여 박사 학위 기간을 단축할 수 있으며, 등록금 납부 기간도 1년 줄고 재학중 언제든지 석사 학위 과정으로 변경이 가능함. 대학원 전형일정은 서강대학교 대학원 모집요강을 참조하세요.

^‡ If you are an international student, you can apply for Sogang Global Fellowship supported by Sogang University. For 80% of tuition, required grade is level 5 or above in the Test of Proficiency in Korean (TOPIK) over 550 in TOEFL PBT (210 CBT, 80 IBT) or over 550 in TEPS or above 5.5 in IELTS. For further information, please visit Sogang Graduate School.
Moreover, you can apply for Global Korea Scholarship (GKS) programs supported by Korean Government. For further information, please visit Study in Korea run by Korean Government.

^* About Sogang University: [WIKIPEDIA] Admission to Sogang University is highly selective and competitive in South Korea. Sogang's freshman intake belongs to the top 1% of their high school academic performance in the country, and the university is widely regarded as the top private university and one of the most prestigious elite schools in South Korea.

Contact Information (Locations)

Prof. Jaewoo So R709A, 35 Baekbeom-ro, Mapo-gu, Seoul 04107, Republic of Korea Phone: +82-2-705-8464 E-mail: jwso AT sogang.ac.kr   Laboratory R709, 35 Baekbeom-ro, Mapo-gu, Seoul 04107, Republic of Korea

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Last updated, Jan. 2021.
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