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Cognitive Radio and Location-Aware Wireless Communications · Cognitive Radio and Location-Aware...

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1 S C I E N C E P A S S I O N T E C H N O L O G Y u www.tugraz.at Cognitive Radio and Location-Aware Wireless Communications 16-3-2016 Advanced SP Seminar, summer term 2016 Klaus Witrisal
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1

S C I E N C E P A S S I O N T E C H N O L O G Y

u www.tugraz.at

Cognitive Radio and Location-Aware Wireless

Communications

16-3-2016 – Advanced SP Seminar, summer term 2016

Klaus Witrisal

2 2 5G Networks: higher capacity, lower latency, ultra-dense deployment

• 5G technologies: mm-wave; massive MIMO; small cells; D2D

Introduction

23-2-2016

Klaus Witrisal [Nokia Networks, “5G Use Cases and Requirements”, White Paper, 2014]

3 3 Notions of a cognitive radio Highly reliable communications

Efficient spectrum utilization

secondary users exploiting spectral holes

16-3-2016

Klaus Witrisal

4 4 Cognitive Radio borrowing principles from cognitive neuroscience

Perception-action cycle; memory (learning); attention

16-3-2016

Klaus Witrisal [S. Haykin, "Cognitive radio: brain-empowered wireless communications," IEEE JSAC, 2005.]

5 5 Location-awareness: many system parameters depend on the position

Introduction

23-2-2016

Klaus Witrisal [Di Taranto et al., “Location-Aware Communications for 5G Networks”, IEEE Signal Proc. Mag., Nov. 2014]

6 6 Multipath-assisted Indoor Navigation and Tracking

(MINT) – concept and geometric model

Idea:

exploit range/position

information from reflected

multipath

Benefits:

less anchor nodes;

more redundancy, i.e.

robustness in NLOS;

higher accuracy

Geometric model (GPEM):

virtual anchors (mirror

sources)

Multipath-assisted indoor positioning – theory and modeling

16-3-2016

[Meissner, Steiner, Witrisal, "UWB Positioning with Virtual Anchors

and Floor Plan Information," in WPNC, Dresden, March 2010.] Klaus Witrisal

7 7 Validation of the signal model – and prediction of the position error bound

Multipath-assisted indoor positioning – theory and modeling

16-3-2016

[Meissner, Witrisal, "Analysis of Position-Related Information in Measured UWB Indoor Channels," EUCAP 2012.]

[Meissner, "Multipath-Assisted Indoor Positioning," Ph.D. Thesis, Graz University of Technology, 2014.] Klaus Witrisal

8 8 Experimentation employing a lab-grade UWB channel sounder

Validation steps:

GSCM/GPEM-based simulation model measurement-based

analysis channel-sounder-based real-time implementation (2 anchors) (1 anchor)

Multipath-assisted indoor positioning – algorithms

16-3-2016

[Meissner, et al, "Real-Time Demonstration System for Multipath-Assisted

Indoor Navigation and Tracking (MINT)," IEEE ICC Workshops 2014. ] Klaus Witrisal

9 9 Admin Issues meetings: Wed. 11:00 – 12:15, IDEG 134

Presentations

Initial presentation: 5’ – 10’

Explain: motivation of the work; research hypothesis;

method used (how do the authors address the problem?)

Final presentation: 20’ – 30’

Review of motivation, hypothesis, method

Explain: implementation (modeling; derived analytical

results and conclusions); simulation/experimental

results; final conclusions drawn

Written short paper: ~2pg. IEEE double-column style

Follow the structure described above

16-3-2016

Klaus Witrisal


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