The 5th generation of wireless networks will include applications beyond the ones associated with the traditional broadband traffic. One of these is the Internet of Things (IoT), a term that identifies the network of interconnected systems, machines, and things that communicate and collaborate without human intervention. Techno-economic forecasts indicate that in the coming years wireless IoT will become massive, connecting tens of billions devices. The IoT has significantly different requirements from, e. g. human-to-machine (H2M) services (download, web browsing, video streaming), where large data volumes are sent and high data rate is required. In majority of the scenarios, IoT communication is based on intermittent transmission/reception of small data portions and pose requirements that are different from the ones according to which the common wireless protocols are designed. Thus an adequate traffic model is required to investigate the impact and performance of IoT in well-established technologies such as cellular networks, to emerging technologies like LoRa, Sigfox or IEEE 802.11ah. Furthermore, advanced access options are required beyond the traditional device-to-base station connection. One such option is the direct Device-to-Device (D2D) connectivity, which is an unconventional communication mode in wireless cellular system that is getting a lot of attention in academia, industry and standardization. D2D communications denotes the establishment of direct communication links, between two or more nearby cellular devices, without the need to use the network infrastructure. This exploitation of the direct communication between the nearby mobile devices will improve spectrum utilization, overall throughput, and energy consumption, while enabling new Peer-to-Peer (P2P) and location-based applications and services. The D2D communication paradigm has two fundamental building blocks, the proximity discovery and the direct communication between nearby devices. In terms of conceptual and theoretical model, D2D can be seen as an extension of the concept of Cognitive Radio and dynamic spectrum access, where the ordinary cellular links can be seen as primary links and D2D as secondary links. The difference with the cognitive
radio model is that the primary system is aware and supportive about the secondary links. In this course we describe how D2D can be an effective enabler of IoT connectivity.
This is a 3-day course and the following topics will be covered:
• Traffic Modeling and performance requirements for IoT and D2D traffic.
• Emerging radio access protocols for IoT such as Sigfox, LoRa and 802.11ah.
• Recent 3GPP activities for cellular IoT, Low-cost LTE and D2D.
• D2D proximity discovery with different degrees of network support
• Analysis and modeling of D2D communications using stochastic geometry tools
• Resource allocation, interference cancellation and power control for D2D communications
Fundamentals of networking and protocols, digital communications, stochastic processes, and queueing theory.
Organizer: Prof. Petar Popovski, e-mail: firstname.lastname@example.org
Lecturers: Prof. Petar Popovski, Dr. Nuno K. Pratas, Dr. Dong Min Kim and Dr. Germán Corrales Madueño
Time: 29-31 August, 2016
Place: Aalborg University (Aalborg Campus)
Zip code: 9220
City: Aalborg Øst
Number of seats: 40
Deadline: August 18, 2016
Important information concerning PhD courses
We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 5,000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately three months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.
- Teacher: Dong Min Kim
- Teacher: Petar Popovski
- Teacher: Nuno Pratas