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Utility Based Scheduling in Cognitive Radio Networks

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Utility Based Scheduling in Cognitive Radio Networks. Term Project ... Type-B: 35 MHz, Vodafone. Type-C: 30 MHz, Avea. 8. Time Division Multiple Access (TDMA) ... – PowerPoint PPT presentation

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Title: Utility Based Scheduling in Cognitive Radio Networks


1
Utility Based Scheduling in Cognitive Radio
Networks
  • Term Project
  • CmpE-300 Analysis of Algorithms
  • Spring 2009
  • Computer Engineering,
  • Bogaziçi University, Istanbul

2
Outline
  • Wireless networks
  • FDMA, TDMA, CDMA
  • Dynamic Spectrum Access
  • Cognitive Radio Networks
  • Problem Formulation

3
Cellular Networks
4
Cellular Networks
5
Cellular Networks
  • MSC Mobile Switching Center
  • How do different mobile stations communicate
    simultaneously with the BS?

6
Frequency Division Multiple Access (FDMA)
  • Each mobile device tunes to a frequency band
  • Analogous to people talking in different rooms

7
Frequency Division Multiple Access (FDMA)
8
Time Division Multiple Access (TDMA)
  • Each mobile device transmits data in a different
    time slot
  • Analogous to people talking one by one
  • GSM Combination of FDMA and TDMA
  • 25 MHz bandwidth divided into 124 carrier
  • frequencies of 200 KHz bandwidth
  • Each carrier frequency divided into 8 time slots
  • using TDMA
  • 3G licenses
  • Type-A 40 MHz, Turkcell
  • Type-B 35 MHz, Vodafone
  • Type-C 30 MHz, Avea

9
Time Division Multiple Access (TDMA)
10
Code Division Multiple Access (CDMA)
  • Analogous to people talking in different languages

11
Dynamic Spectrum Access (DSA)
  • PROBLEM Underutilized spectrum resources due to
    fixed assignment strategy
  • IDEA Utilizing white spaces in the spectrum
    without disturbing licensed users 1
  • CHALLENGE
  • Sensing the environment, detecting white spaces
  • white spaces frequently change by time and
    space
  • Changing radio parameters on the fly

12
Frequency Allocation Charts
  • In Turkey http//www.tk.gov.tr/Duzenlemeler/tekni
    k/marfl/_marfl1.asp

13
White Space Concept
14
Cognitive Radio (CR) Concept
  • Initially proposed by Mitola 2
  • Next step evolution of Software Defined Radio
    (SDR)
  • Cognitive Radio (CR) Intelligent devices that
    can 2
  • Sense and autonomously reason about their
    environment
  • Adapt their communication parameters accordingly
  • Realize DSA concept

15
Terminology
  • Primary User (PU)
  • Licensed user
  • Has exclusive rights for the spectrum
  • Secondary User (SU)
  • Unlicensed user
  • Opportunistically utilizes the white spaces
  • Has to vacate the spectrum band as soon as a PU
    appears
  • Also called cognitive user

16
IEEE 802.22 Network Architecture
17
Research Problem
  • totalNetworkUtility Total number of SUs that
    are satisfied in terms of throughput
  • Maximize (totalNetworkUtility)
  • subject to
  • No interference is imposed on the PUs
  • Reliable communication with the CBS is achieved
  • No collisions occur among the SUs

18
Research Problem Terminology
  • N Total number of SUs
  • F Total number of frequencies
  • T Total number of time slots
  • Uif Maximum number of packets that can be
    transmitted by user i to the CBS using frequency
    f
  • (in a time slot)
  • ti Throughput (data rate) of SU i
  • g(ti)The level of satisfaction of SU i from
    throughput ti
  • timin Minimum throughput required by SU i

19
Problem Formulation

totalNetworkUtility
Each SU is assigned at least 1 time slot
At most 1 user is assigned a certain time slot
and frequency pair
Throughput of SU i
20
Problem Formulation
21
Problem Formulation
22
References
  • 1 Akyildiz, I., W. Lee, M. Vuran, and S.
    Mohanty, NeXt generation/dynamic spectrum
    access/cognitive radio wireless networks A
    survey, Computer Networks, Vol. 50, No. 13, pp.
    2127-2159, 2006.
  • 2 Mitola, J., Cognitive Radio An
  • Integrated Agent Architecture for
  • Software Defined Radio, Doctor of
  • Technology, Royal Institute of Technology
  • (KTH), Stockholm, Sweden, 2000.

23
  • Questions?
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