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Machine to Machine Communications in Cellular
Networks: Protocols and Algorithms
Advisor: Guowang Miao, [email protected]
Homepage:http://web.ict.kth.se/~guowang/
Starting Time: Q1/2 2013
Background
With Internet of Things (IoT), smart things become active
participants in business and socialprocesses, as shown in the above
pic. IoT is included by the US National Intelligence Council(NIC)
in the list of six Disruptive Civil Technologies with potential
impacts on US [1]. NICconsiders that by 2025 Internet nodes may
reside in everyday things food packages,furniture, paper documents,
and more. IoT developments show that we will have 16
billionconnected devices by the year 2020 [3], which will average
out to six devices per person on
earth and to many more per person in digital societies. In
wide-area applications, low-costand massive machine to machine
(M2M) communications provided by cellular networks willbe one main
driver for the success of future IoT development.
A first direct consequence of the proliferation of IoT is that
large numbers of devices willproduce huge quantities of sporadic
data [2] and significantly higher capacity of cellularnetworks will
be needednot in terms of megabits transported, but the number of
machinessustained. In this project, we will investigate the
feasibility of using existing protocols andalgorithms of LTE
systems in supporting M2M communications.
Thesis Work
http://web.ict.kth.se/~guowang/http://web.ict.kth.se/~guowang/http://web.ict.kth.se/~guowang/http://web.ict.kth.se/~guowang/
8/10/2019 M2M Protocols Thesis proposal.docx
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The goal of the thesis is to investigate how M2M communications
can be integrated withtraditional cellular structures from both
algorithm and protocol perspectives. The finaldefinition will be
made together with the applicant. The following is what we
currently expectin part of the work:
Literature survey of existing M2M communications algorithms and
protocols and analyzethe issues in integrating M2M in cellular
networks;
Analyze the signaling overhead in existing LTE systems for data
communications.
Implement a simulation platform and observe the performance.
Design or choose a MAC scheme and implement it. Analyze the
impact of differentparameters on the performance.
Evaluate the impact of signaling overhead, machine proximity,
and traffic load on thenetwork performance.
Qualifications
You should
be a bright Master of Science student in electrical engineering,
applied physics or
similar with excellent grades,
have taken courses and excel in wireless communications,
wireless networks,
master a certain programing language (Matlab or C/C++
preferred),
have a keen interest in telecom technologies, programming, and
research,
have strong analytical skills,
speak and write outstanding English, and
be self-motivated, self-driven and communicative.
Practicalities
Scope: 30 points (20 weeks), 1 person
Target starting date: within Q1/2 2013, the exact dates will be
set together with the selected
candidate.
Location: Kista, Stockholm, Sweden
References
[1] ITU Internet Reports, The Internet of Things, November
2005.
[2] Internet 3.0: The Internet of Things. Analyses Mason Limited
2010.
[3] Vision and Challenges for Realising the Internet of Things,
European Union 2010, ISBN9789279150883.
