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Joint resource optimization in spectrum sharing decode and forward relaying networks.

Dong Qin1

  • 1School of Information Engineering, Nanchang University, Nanchang, China.

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|May 13, 2021
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Summary
This summary is machine-generated.

This study introduces an adaptive algorithm for cognitive radio networks to optimize power and subcarrier pairing. It enhances sum rate for secondary users while protecting primary users from interference.

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Area of Science:

  • Wireless Communication
  • Cognitive Radio Networks
  • Signal Processing

Background:

  • Spectrum sharing in cognitive radio networks (CRNs) presents challenges in balancing secondary user performance with primary user interference.
  • Existing cooperative communication algorithms do not fully address the dual power constraints (own peak and primary user interference threshold) in CRNs.

Purpose of the Study:

  • To develop an adaptive power allocation and subcarrier pairing algorithm for decode-and-forward CRNs.
  • To maximize the secondary network's sum rate under primary user interference constraints.
  • To determine optimal conditions for relaying versus direct transmission.

Main Methods:

  • Proposed an adaptive algorithm for power allocation and subcarrier pairing in orthogonal frequency division multiplexing (OFDM) based CRNs.
  • Incorporated both secondary network power limits and primary user interference thresholds.
  • Analyzed conditions favoring relaying over direct transmission.

Main Results:

  • The proposed algorithm effectively manages power allocation and subcarrier pairing.
  • Simulation results demonstrate superior sum rate performance compared to existing methods.
  • Significant performance gains were achieved in terms of network throughput.

Conclusions:

  • The developed algorithm offers an effective solution for power and subcarrier management in OFDM-based CRNs.
  • It successfully maximizes secondary network sum rate while adhering to primary user interference limits.
  • The findings provide valuable insights for efficient spectrum sharing in cognitive radio environments.