Abstract

Cognitive radio sensor networks are one of the kinds of application where cognitive techniques can be adopted and have many potential applications, challenges and future research trends. According to the research surveys, dynamic spectrum access is an important and necessary technology for future cognitive sensor networks. Traditional methods of dynamic spectrum access are based on spectrum holes and they have some drawbacks, such as low accessibility and high interruptibility, which negatively affect the transmission performance of the sensor networks. To address this problem, in this paper a new initialization mechanism is proposed to establish a communication link and set up a sensor network without adopting spectrum holes to convey control information. Specifically, firstly a transmission channel model for analyzing the maximum accessible capacity for three different polices in a fading environment is discussed. Secondly, a hybrid spectrum access algorithm based on a reinforcement learning model is proposed for the power allocation problem of both the transmission channel and the control channel. Finally, extensive simulations have been conducted and simulation results show that this new algorithm provides a significant improvement in terms of the tradeoff between the control channel reliability and the efficiency of the transmission channel.

Highlights

  • Cognitive radio (CR) is a promising technology which can fully use the spectrum by dynamically accessing the primary network

  • The basic idea of the hierarchical model is that the secondary users (SUs) can use the licensed spectrum of primary users (PUs), as long as they can limit any interference perceived by PUs

  • According to the above analysis and considering the low power spectrum density of underlay waveforms, we propose to design a control channel to convey a small amount of control information, waveforms, we propose to design a control channel to convey a small amount of control information, which is termed as SUCCH

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Summary

Introduction

Cognitive radio (CR) is a promising technology which can fully use the spectrum by dynamically accessing the primary network. The SUs can always access to the spectrum as long as the interference causing by SUs at the PU receiver can satisfactorily meet the threshold constraint [7]. Multiplexing (NC-OFDM), which is defined as the overlay waveform used to convey data of NC-OFDM-based SUs is shared with the PUs which utilize DS-CDMA. The spectrum of NC-OFDM-based SUs is shared with the PUs which utilize provides the required anti-jamming capability for the interference which may be caused by the SUs. DS-CDMA. In the meantime, based on the properties of the non-continuous power spectrum of NC-OFDM, it is interference which may be caused by the SUs. In the meantime, based on the properties of the more flexible for the SUs to access the SHs which are discontinuous in the frequency spectrum [8]. 5 presents our simulation results and Section 6 concludes the paper

Application Scenarios
Spectral occupancy
Subchannel
GQ 1 GQ
Reinforcement Learning for Improving Performance
Simulation Study
Simulation
Conclusions
Full Text
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