Abstract
This paper proposes an adaptive power allocation and subcarrier pairing algorithm for orthogonal frequency division multiplexing based decode and forward cognitive radio networks, where primary and secondary users achieve spectrum sharing in the same frequency band. The secondary network tries to maximize its sum rate while ensuring that the interference introduced to the primary network is below an acceptable level. Although similar problems have been investigated in traditional cooperative communication networks, it’s still an open issue in cognitive radio networks due to interference thresholds. The power consumed by the secondary network is not only limited by its own power peak, but also by the interference threshold of the primary user. Our proposed algorithm not only allocates power and pairs subcarriers reasonably, but also specifies the conditions under which the relaying link is superior to the direct transmission. Simulation results show that the sum rate of the proposed algorithm exceeds other methods and obtains a significant performance gain.
Highlights
Cognitive radio, a dynamic spectrum access technology, has successfully alleviated the increasing scarcity of spectrum resources by allowing different entities to share the same licensed frequency band
This paper proposes an adaptive power allocation and subcarrier pairing algorithm for orthogonal frequency division multiplexing based decode and forward cognitive radio networks, where primary and secondary users achieve spectrum sharing in the same frequency band
The energy harvesting was introduced into spectrum sharing mixed radio frequency and free space optical networks in [2], where a secondary user harvested energy from primary network
Summary
Joint resource optimization in spectrum sharing decode and forward relaying networks Dong QinID*. OPEN ACCESS Citation: Qin D (2021) Joint resource optimization in spectrum sharing decode and forward relaying networks. This paper proposes an adaptive power allocation and subcarrier pairing algorithm for orthogonal frequency division multiplexing based decode and forward cognitive radio networks, where primary and secondary users achieve spectrum sharing in the same frequency band. The secondary network tries to maximize its sum rate while ensuring that the interference introduced to the primary network is below an acceptable level. The power consumed by the secondary network is limited by its own power peak, and by the interference threshold of the primary user. Our proposed algorithm allocates power and pairs subcarriers reasonably, and specifies the conditions under which the relaying link is superior to the direct transmission. Simulation results show that the sum rate of the proposed algorithm exceeds other methods and obtains a significant performance gain
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