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Understanding Probabilistic Cognitive Relaying Communication with Experimental Implementation and Performance

Amith Khandakar1, Amr Mahmoud Salem Mohamed2

  • 1Electrical Engineering Department, College of Engineering, Qatar University, Doha-2713, Qatar. amitk@qu.edu.qa.

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Summary
This summary is machine-generated.

Cooperative cognitive relaying enhances wireless spectrum efficiency. However, increasing the probability of scheduling primary user data at secondary users benefits the secondary users more than the primary users in terms of throughput and delay.

Keywords:
GNU RadioUSRP2cognitive relayingprobabilistic relaying

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Area of Science:

  • Wireless Communication
  • Cognitive Radio
  • Spectrum Management

Background:

  • Limited wireless spectrum necessitates efficient utilization strategies.
  • Cooperative cognitive relaying allows secondary users (SUs) to relay traffic for primary users (PUs), improving spectrum efficiency.
  • Secondary users possess better channel conditions to the primary user destination.

Purpose of the Study:

  • To propose a systematic framework for Cooperative Cognitive Relaying using USRP2 for practical cognitive radio applications.
  • To analyze the impact of admission and scheduling probabilities on primary user and secondary user performance.

Main Methods:

  • Implementation of a Cooperative Cognitive Relaying framework using USRP2 hardware.
  • Introduction and experimental variation of two key probabilities: Probability of Admission and Probability of Scheduling.
  • Verification of practical experimental results against simulation outcomes.

Main Results:

  • The study investigates the effects of varying admission and scheduling probabilities on both primary user (PU) and secondary user (SU) performance.
  • Practical experiments demonstrate that increasing the probability of scheduling PU packets at the SU favors SU performance.
  • This increase in scheduling probability leads to improved SU throughput and reduced SU delay, at the expense of PU performance.

Conclusions:

  • The proposed Cooperative Cognitive Relaying framework provides a viable platform for experimental validation of cognitive radio concepts.
  • The Probability of Scheduling significantly impacts the performance trade-offs between primary and secondary users.
  • Optimizing the Probability of Scheduling is crucial for balancing spectrum sharing and ensuring fair performance between PUs and SUs.