Communications and Networking Laboratory (CNL)  -  " ConNected Learning with CNL"

The Communications and Networking Laboratory (CNL), led by Prof. Jaewoo So, was established in September 2008 as the part of Department of Electronic Engineering at Sogang University. Our research covers AI technologies, connectivity protocols, and security for wireless communications, IoT, and vehicle networks. Research topics are

  • AI Technlogies for Wireless Communications:
    AI in wireless communications: Artificial intelligence (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 future wireless communication systems.
    Machine learning (ML) for wireless resource allocation 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 AI 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.

  • Connectivity Protocols for Cellular, IoT, and Vehicle Networks:
    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): Research topics are cellular-V2X (C-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.

  • Blockchain Networks and Security:
    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.
    Machine learning (ML)-based cryptanalysis aims to discover the plaintext from a ciphertext without knowing any information about the system or the key that was used to encrypt the plaintext. Additionaly, ML-based cryptanalysis aims to predict the key that was used to encrypt the plaintext. ML-based cryptanalysis deals with a method of breaking a cryptographic system with less work than brute-force search.
    Securtiy issues in the wireless communications, e.g., Wi-Fi, Bluetooth, Car Smart Key, Smart Home Remote Control, 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. Research topics are IoT security, vechicle and network security, and Blockchain security.


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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 Blockchain.
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

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.

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 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.

* 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 3 private university and one of the top 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 sogang.ac.kr
  Laboratory
  • Ricci Hall 709, Dept. of EE, 35 Baekbeom-ro, Mapo-gu, Seoul 04107, Republic of Korea
  • Phone: +82-2-719-8464

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Last updated, Sep. 2017.
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