IEEE/CIC International Conference on Communications in China

Session Keynote-2: Keynote 2 Session Closing: Closing Ceremony
Session IoT-04: Resource Allocation Session IoT-05: mMTC Session IoT-06: Localization, Recognition and Detection
Session MWN-04: UAV Session MWN-07: Code Design and Beamforming Session MWN-05: Performance Analysis and Optimization Session MWN-08: Resource Allocation and Optimization Session CIS-04: Physical Layer Security Session MWN-06: Security
Session NGNI-04: Deep Reinforcement Learning and Future Generation Networking Session NGNI-05: Future Generation Networking and Computing
Session SPC-04: Localization Session SPC-05: Coding and Decoding Session CIS-05: Attack Detection
Session WCS-07: Advanced Wireless Techniques I Session WCS-10: Advanced Wireless Techniques IV Session WCS-08: Advanced Wireless Techniques II Session WCS-11: Advanced Wireless Techniques V Session WCS-09: Advanced Wireless Techniques III Session WCS-12: Advanced Wireless Techniques VI
Session CT-02: Information Freshness and Codes Session CT-03: Communication Security Session CT-04: Resource Allocation

Opening and Keynote

Session Keynote-2

Keynote 2

Conference
9:00 AM — 10:30 AM CST
Local
Aug 10 Mon, 9:00 PM — 10:30 PM EDT

Mobile Edge Joint Exploration of Big IoT Data for Smart City Applications

Jenq-Neng Hwang (University of Washington, US)

0
Thanks to the ultra-reliable low-latency communication (URLLC) capability of the emergent 5G mobile networks, the information derived from the roadside static surveillance or on-board moving IoT sensors (e.g., video cameras, Radars and Lidars), which can be jointly explored by the mobile edge computing (MEC) and real-time shared by all the local connected users for various smart city applications. To achieve this goal of coordinated mining of different modalities of IoT data, all of the detected/segmented and tracked human/vehicle objects need to be 3D localized in the world coordinate for effective 3D understanding of local dynamic evolutions. In this talk I will mainly talk about some challenges and potential solutions, more specifically, a robust tracking and 3D localization of detected objects, from either static/moving monocular video cameras, is proposed based on a variant of the Cascade R-CNN detector trained with triplet loss to obtain the accurate localization and the corresponding discriminating identity-aware features for tracking association, even with long-term occlusion, of each detected object in one-shot. When the cameras fail to reliably achieve these tasks due to poor lighting or adverse weather conditions, Radars and Lidars can offer more robust localization than the monocular cameras. However, the semantic information provided by the radio or point cloud data is limited and dif?cult to extract. In this talk, I will also introduce a radio object detection network (RODNet) to detect objects purely from radio signals captured by Radar based on an innovative cross-modal supervision framework, which utilizes the rich information extracted from the camera to teach object detection for Radar without tedious and laborious human labelling of ground truth on the Radar signals. Moreover, to compensate the disadvantage of Lidar detection on far-away small objects, effective integration of Lidar based detections, along with 2D object detections and 3D localization from monocular images based on 3D tracking associations, to achieve superior tracking and 3D localization performance. Finally, an efficient 3D human pose estimation for action description of detected human in natural monocular videos is also presented for finer-grained 3D scene understanding for smart city applications.

5G Evolution and Beyond

Zhenfei Tang (Huawei Technologies Co., Ltd, China)

0
The 5G has already been commercially deployed for more than one year. 3GPP Release 16 was completed in July 2020, which is a major release for 5G because it brought IMT-2020 submission ¨C for an initial full 3GPP 5G system ¨C to its completion. 3GPP 5G is evolving to next releases and is expected to open the door of digital transformation of many aspects of our life, industry, business, and even the whole society ¨C the future of wireless of 5G evolution and beyond is yet to be discovered. Since the first generation of mobile technology, the mobile industry has experienced significant growth driven by ¡®subscription dividend¡¯ and ¡®traffic dividend¡¯. The next dividend is believed to be the ¡°connection dividend¡± or even ¡°intelligence dividend¡±. Not only the number of connected devices and objects will increasing rapidly, but also new applications and business opportunities will greatly emerge. More spectrum, such as new mid-band spectrum at 6GHz, FDD spectrum re-farming and even high frequency spectrum, will be available. 5G evolution and beyond will address those new use cases with advanced wireless technologies. The research challenges and technology breakthroughs required to deliver the vision for future wireless will be presented in this talk.
Session Chair

Tony Quek

Session Closing

Closing Ceremony

Conference
5:00 PM — 6:00 PM CST
Local
Aug 11 Tue, 5:00 AM — 6:00 AM EDT

Closing Ceremony

Qianbin Chen (General Co-chair of ICCC 2020, Vice President of CQUPT), Song Guo (TPC Co-chair of ICCC 2020, Hongkong Polytechnic University, China), Zhisheng Niu (Steering Committee member, Tsinghua University, China), Xuemin Hong (Xiamen University)

0
Acknowledgement from Organizers, Best Paper Awards of ICCC 2020, Announcement the Host of ICCC 2022, Exhibition of Host of ICCC 2021.
Session Chair

Nei Kato

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