Communications and Networking Laboratory (CNL)           

The Communications and Networking Laboratory (CNL), led by Prof. Jaewoo So (소재우 교수), was established in September 2008 as the part of Department of Electronic Engineering at Sogang University. Our research covers AI technologies and Connectivity protocols for 5G/6G, IoT, and Vehicle networks. Research topics are

  • Wireless AI - AI 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

    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.
    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.
    Vehicle-to-everything (V2X): Vehicle communications 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. Research topics are cellular-V2X and WAVE-based V2X (C-ITS) for autonomous driving and cooperative adaptive cruise control (CACC); and massive BDMA and radio resource management for vehicle communications.
    Wireless Security and Blockchain: Securitiy issues in the wireless communications, e.g., LTE/LTE-A, 5G/6G, Bluetooth, Connected Car, Car Smart Key, Smart Home Remote Control, Wi-Fi, etc. Credible, economical, efficient and effective security and privacy for distributed devices are required to ensure exact and accurate confidentiality, integrity, authentication, and access control, among others. Security research topics are LTE/LTE-A security, 5G/6G security, IoT security, vechicle and network security, and Blockchain security.
    LTE is assumed to guarantee confidentiality and strong authentication. However, LTE networks are vulnerable to wireless security. We study on the insecurity rationale behind LTE protocol exploits and LTE rogue base stations. Blockchain is a shared immutable ledger for recording the history of transactions. A business blockchain, such as the Linux Foundation's Hyperledger Project, provides a permissioned network with known identities. Blockchain is a technology uniquely suited to support massive number of transactions and smart contracts within the Internet of Things (IoT) ecosystem, thanks to the decentralized accounting mechanism.

대학원 진학자를 위한 연구실 소개자료
요약 자료 | PDF 보기  |  동영상 보기 (7:30)

        [Youtube] 5G NR Webinar

        [IEEE] Keynote on Machine Learning
B5GS 2019

by Prof. J. So, 2020     by Erik Dahlman, 2018. 9. 12.     by Prof. A. Goldsmith, 2019. 5. 13.

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
  참고 자료

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
  • Ricci Hall 709A, Dept. of EE, 35 Baekbeom-ro, Mapo-gu, Seoul 04107, Republic of Korea
  • Phone: +82-2-705-8464
  • E-mail: jwso AT
  • Ricci Hall 709, Dept. of EE, 35 Baekbeom-ro, Mapo-gu, Seoul 04107, Republic of Korea

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Last updated, Jan. 2021.
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