2019 2nd IEEE HotICN


Half-Day Tutorial: Ultra Dense Networks: Principles and Technologies



Overview

Trainers

Haijun Zhang University of Science and Technology Beijing, China
Haijun Zhang (M'13, SM'17) is currently a Full Professor in University of Science and Technology Beijing, China. He was a Postdoctoral Research Fellow in Department of Electrical and Computer Engineering, the University of British Columbia (UBC), Vancouver Campus, Canada. From 2011 to 2012, he visited Centre for Telecommunications Research, King's College London, London, UK, as a Visiting Research Associate. Dr. Zhang has published more than 100 papers and authored 2 books. He serves as Editor of IEEE Transactions on Communications, IEEE 5G Tech Focus, EURASIP Journal on Wireless Communications and Networking, and Journal of Network and Computer Applications, and serves/served as a Leading Guest Editor for IEEE Communications Magazine, and IEEE Transactions on Emerging Topics in Computing. He serves/served as General Co-Chair of GameNets'16, Symposium Chair of Globecom'19 and GameNets'14, Track Chair of ScalCom2015, TPC Co-Chair of INFOCOM 2019 Workshop on Integrating Edge Computing, Caching, and Offloading in Next Generation Networks, General Co-Chair of ICC 2019 (ICC 2017, Globecom 2017) Workshop on 5G Ultra Dense Networks, and General Co-Chair of Globecom 2017 Workshop on LTE-U. He received the IEEE ComSoc Young Author Best Paper Award in 2017.


Brief Description

Nowadays, the mobile network no longer just connects people but is evolving into billions of devices, such as sensors, controllers, machines, autonomous vehicles, drones, people and things with each other and then achieves information and Intelligence. From a planning and optimization perspective on the mobile network, this means that we also need a lot more flexibility to address these future needs.

Next-generation (5G) wireless systems are characterized by three key features: heterogeneity, in terms of technology and services, dynamics, in terms of rapidly varying environments and uncertainty, and size, in terms of number of users, nodes, and services. The need for smart, secure, and autonomic network design has become a central research issue in a variety of applications and scenarios. Ultra dense networks (UDN) have attracted intense interest from both academia and industry to potentially improve spatial reuse and coverage, thus allowing cellular systems to achieve higher data rates, while retaining the seamless connectivity and mobility of cellular networks. However, considering the severe inter-tier interference and limited cooperative gains resulting from the constrained and non-ideal transmissions between adjacent base stations, a new paradigm for improving both spectral efficiency and energy efficiency through suppressing inter-tier interference and enhancing the cooperative processing capabilities is needed in the practical evolution of UDN.

This tutorial will identify and discuss technical challenges and recent results related to the UDN in 5G mobile networks. The tutorial is mainly divided into four parts. In the first part, we will introduce UDN, discuss about the UDNs system architecture, and provide some main technical challenges. In the second part, we will focus on the issue of resource management in UDN and provide different recent research findings that help us to develop engineering insights. In the third part, we will address the signal processing and PHY layer design of UDN and address some key research problems. In the last part, we will summarize by providing a future outlook of UDN.



Tutorial outline (half day schedule)

  • Part I: Overview of UDN and System Architecture
    • RAN Evolutions: Brief introduction of UDN, SON, C-RANs, LTE-U and their potential evolution
    • Introduction of UDN: Basic features and definitions, challenges, and state of the art
    • System architecture: Fronthaul, Fog/cloud computing, heterogeneous networks, performance metrics
  • Part II: Resource Management in UDN
    • Resource Allocation : A cooperative bargaining game theoretic approach
    • Resource allocation with heterogeneous services
    • Secure resource allocation without and with cooperative jamming
    • Cross layer optimization in UDN
  • Part III: Interference Management in UDN
    • Interference-limited resource optimization with fairness and imperfect spectrum sensing
    • Coexistence of Wi-Fi and UDN with LTE-U
    • Cooperative interference mitigation and handover management
    • Incomplete CSI based resource optimization in SWIPT
  • Part IV: Outlook of UDN
    • Evolution of UDN: Future research challenges


Potential Participants

The tutorial is intended for the generally knowledgeable individual working in the field of wireless communications and networking with some background in convex optimization and game theory. It is also suitable for students and researchers who are interested to learn about UDN, Heterogeneous Networks, Small Cells, LTE-U, C-RAN, SWIPT, and 5G.