IEEE International Conference on High Performance Switching and Routing
26-29 May 2019 // Xi'an, China


Workshop 1 – Fog computing and caching for the Future networks – Monday May 27th, 15:20 – 16:50

Download the HPSR 2019  – Workshop 1 Call for Papers flyer PDF >>

To satisfy the explosively increasing demands of high-speed data applications and massive access requirements of various mobile devices, a whole package of performance requirements has been proposed for the fifth-generation (5G) mobile communication system. In particular, 5G should be able to connect one million connections per square kilometer, and the system capacity will grow by a factor of 1000 compared to the fourth-generation (4G) system to deliver a consistent experience across a variety of scenarios.

Cloud Computing is a new paradigm in Information Technology (IT) and IT-enabled services (ITES) that transforms “computing as a resource” to “computing as a service”. However, since cloud computing is not enough to deal with the large amount of data generated by increasing number of connected Internet-of-Things (IoT) devices, and in order to better support time dependent, location dependent, massive scale, and latency sensitive applications, fog computing is proposed as a possible solution. According to its definition, fog computing is a horizontal, system-level architecture that distributes computing, storage, control and networking functions closer to the users along a cloud-to-thing continuum. Hence, fog computing can be regarded as an extension of the traditional cloud-based computing model, which allows computing need to be performed closer to the source of data.

This workshop provides a forum for discussions of the up-to-date developments in information-centric networking, fog computing, edge computing, edge caching for future networks, and brings academic researchers and industry developers together.

Topics of interests

  • Information-centric networking modeling and analysis of integrating communication, computation and caching
  • Trends and challenges of integrating information-centric networking, fog computing, and caching
  • Network architecture and protocol design for artificial intelligence (AI)-enabled fog computing
  • Mobile cloud/fog computation offloading in fog computing enabled wireless networks
  • Content caching and optimization in future networks
  • QoS provisioning, resource management and cross-layer design
  • Network security for fog computing and caching

Workshop Organizers

Fan Jiang, Xi’an University of Posts and Telecommunications,  Xi’an, China
JunXuan Wang, Xi’an University of Posts and Telecommunications, Xi’an, China
Changyin Sun, Xi’an University of Posts and Telecommunications,  Xi’an, China
Yuan Ren, Xi’an University of Posts and Telecommunications,  Xi’an, China

Workshop 2 – Research Advancements in Localization for the Internet of Things – Tuesday May 28th, 15:20 – 16:35

Download the HPSR 2019  – Workshop 2 Call for Papers flyer PDF >>

The Research Advancements in Localization for the Internet of Things workshop focuses not only on the latest research outcomes but also emerging issues of positioning technologies in IoT. It provides also a forum for in-detail discussions on topics. Submissions of papers on the following topics, but not limited to, are appreciated.

Topics of interests

  • Advanced technologies for IoT localization
  • Enabling technologies for dependable IoT positioning systems
  • Fog computing in IoT positioning systems
  • Scalable IoT positioning architectures
  • Secure architectures for IoT localization
  • Secure IoT positioning protocols
  • Dependable communication protocols for IoT localization
  • Modeling and evaluation of IoT positioning performance
  • Low-power chip/system design for localization in IoT
  • Crowdsourcing for IoT localization
  • Machine learning for location estimation in IoT
  • Data fusion for IoT localization
  • Advanced estimation theories for IoT localization

Workshop Organizers

Fei Tong, Southeast University, Nanjing, CHina
Xiufang Shi, Zhejiang University of Technology,  Hangzhou, China
Bin Li, Northwestern Polytechnical University,  Shaanxi Sheng, China

Workshop 3 – Cooperative Techniques for Future Wireless Communications – Wednesday May 29th, 15:00 – 16:15

Download the HPSR 2019  – Workshop 3 Call for Papers flyer PDF >>

Deployment of cooperative techniques on wireless communication networks has been a subject of recent interest to researchers. The distributed nature of the wireless communication network provides unique opportunities for collaborative and distributed signal processing techniques that can potentially lead to significant energy saving and performance gain. Cooperative Techniques have been well researched especially in recent 5G mobile system. However there are still many unsolved research problems in this field, such as relaying protocols, cooperative methods for physical layer security, cooperative beamforming, distributed coding, and collaborative signal processing strategies, etc.

Topics of interests

The workshop aims to provide a forum for authors to present early research results on cooperative technology for future wireless communication systems, including theoretical principles, tools, applications, systems infrastructure, and testbeds. Topics of interest include (but not limited to) the following:

  • Cooperative Relay Transmission
  • Cooperative Beamforming
  • Cooperative Transmission for Physical Layer Security
  • Cooperative/Distributed Coding
  • Collaborative Signal Processing Strategies
  • Cooperative Massive MIMO System
  • CoMP for 5G cellular system
  • Cooperative driving, intelligent and autonomous vehicles
  • Simulation methodology and platform for Cooperative Techniques

Workshop Organizers

Bin Li, Northwestern Polytechnical University,  Shaanxi Sheng, China
Rugui Yao, Northwestern Polytechnical University,  Shaanxi Sheng, China
Xiaoya Zuo, Northwestern Polytechnical University,  Shaanxi Sheng, China
Daosen Zhai, Northwestern Polytechnical University,  Shaanxi Sheng, China
Xiao Tang, Northwestern Polytechnical University,  Shaanxi Sheng, China
Dawei Wang, Northwestern Polytechnical University,  Shaanxi Sheng, China