RESOURCE ALLOCATION IN COGNITIVE RADIO NETWORK USING GAME THEORY

The impressive growth of standards and technologies for wireless communications has dramatically increased the opportunities for mobile users to connect anytime anywhere. End-user equipment often comes with multiple radio interfaces featuring different communication standards, from short range to medium/long range ones. Moreover, a given geographical area may be “covered” by multiple access network/technologies with different characteristics (bandwidth, access cost), even potentially run by different operators. This design is based on channel selection and power control in CRN using Game theory where end users may choose among multiple available access networks to get connectivity and resource allocation, where network operators may set their radio resources to provide connectivity.

Design Specifications

  • No of SUs - 10 CRs
  • No of PUs - 5 PUs
  • No of the base station - 2 BS
  • Interference Threshold
  • Channel state information CSI

Objective

  • To find transmission power and Power to be minimized
  • To maximize energy efficiency
  • To Minimize Bit error rate
  • Max - Utility function

Constraints

  • Source power
  • Interference
  • Bandwidth
  • Fairness
  • Throughput analysis

Protocol

  • Amplify and forward

Methods

  • Stackelberg Game
  • Multi-stage Game
  • Nash Game

Reference Paper-1: On Spectrum Selection Games in Cognitive Radio Networks
Author’s Name: Ilaria Malanchini, Matteo Cesana, and Nicola Gatti
Source: IEEE
Year:2009
Reference Paper-2: Network Selection and Resource Allocation Games for Wireless Access Networks
Author’s Name: Ilaria Malanchini, Matteo Cesana, and Nicola Gatti
Source: IEEE
Year:2013
Reference Paper-3: Energy-Efficient Resource Allocation for Heterogeneous Cognitive Radio Networks
Author’s Name: Renchao Xie, F. Richard Yu, Hong Ji, and Yi Li
Source: IEEE
Year:2012
Reference Paper-4: A Stackelberg Game for Power Control and Channel Allocation in Cognitive Radio Networks
Author’s Name: Michael Bloem, Tansu Alpcan and, Tamer Ba¸sar
Source: IEEE
Year:2007
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SIMULATION VIDEO DEMO                                                                                                                            



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