Course Calendar - CEI-Europe
Course #79

Future Wireless Networks: 5G/6G Technology

March 12 - 14, 2018 . Barcelona, Spain
We recommend you to submit your preliminary or firm registration at least 4 weeks before course start to ensure a seat on the course.


It is anticipated that future wireless networks will incorporate, among the others, the following three paradigms:
1) Serve very dense population of users (Internet of Things and People)
2) Operate with  low energy consumption
3) Operate under joint multi-operator spectra management.

For efficient control and systematic design of these networks necessary modifications of the general complex networks theory tools are required.

The technology enablers are based on Software Defined Networks (SDN) and Network Functionality Virtualization (NFV). These paradigms enable Wireless Network Slicing (WNS) which is basis for micro trading of the resources in multi-operator network management. Network densification and high sophistication of the relation between multiple operators and network elements require network management solution based on Artificial Intelligence (AI). These new incoming technologies will be in the focus of the course.


The course covers joint design of technology and business models in communication networks. Participants with background in either networks design or networks/internet economics should benefit from participation.
The focus is on 5G networks and participants with general background in networks will be able to follow the course. This includes researchers, students and professors in academia as well as industry, networks operators, regulators and managers in this field.

The course starts with a survey of the expectations from 5G in terms of technical specifications on one side and possible solutions offered by the research community on the other side. The focus is on new networking paradigms enabling a variety of new, more efficient, solutions for increasing the network throughput and efficiency of spectrum utilization, reducing energy consumption and significantly increasing the network density.

Wireless networks today and trends

  • 5G Vision/5Gppp/Industry Vision
  • Generic Concept of NGWN

New Network Paradigms

  • Heterogeneous WLAN macro/femto/small cells
  • Multi-hop Multi-operator Multi-technology Networks/Network de-fading,
  • Software Defined Networks (SDN)
  • Network/Functionality Virtualization
  • Network Slicing

Spectrum Solutions

  • Millimetre Wave Technology
  • Multi-operator Spectrum Sharing /Traffic Offloading
  • Cognitive Networks/Semi Cognitive Networks

In this section we discuss the need for join optimization of the technology and new business models in communication network. User terminal becomes an active consumer and provider of network resources and as such becomes a partner in network resource trading. As a result a new concepts in monetary (digital payment) systems as block chain technology are needed. Since the density of the networks is expected to significantly increase in this segment we also discuss methodology available within networking sciences for complex network design.

Network Optimization and Stability

  • Networks Economy/Network Slices Trading
  • Bitcoin & Block Chain Technology
  • Computing Clouds/Network Stability
  • Self-Organizing Networks (SON)
  • Massive MIMO/ Pros and Cons

Complex Networks

  • IoT Models/Low Latency High Reliability/Robustness Solutions
  • Network Reconfiguration
  • DNA Networks
  • Edge/Fog Computing/Energy Trading
  • Economics of DNA Networks
  • Standards

Increased network density and direct interaction between any elements in the network makes the network control more and more complicated and a need for the help of artificial intelligence (AI) in this segment is evident. Within this segment we discuss a number of examples where AI is used to learn/predict the network parameters and then optimize dynamically the network architecture to improve the performance.

Artificial Intelligence in Networks - I

  • AI applications in the Telecommunications Industry
  • Q-Learning /Channel and Power Level Selection by D2D
  • SON/A Reinforcement Learning Framework
  • AI for Proactive Cashing

Artificial Intelligence in Networks - II

  • AI/Online Resource Allocation/Big Data Learning
  • Prediction of VNF Resource Requirements/Graph Neural Network‐based Algorithm
  • Indexability of Restless Bandit Problems / Whittle's Index for Dynamic Multichannel Access
  • Learning /Caching in Heterogeneous Small Cell Networks

Length: 3 days
Regular Course Fee: 2095 euro
Early Course Fee: 1885 euro
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