A Cooperative Overlay Approach at the Physical Layer of Cognitive Radio for Digital Agriculture

In digital agriculture, the cognitive radio technology is being envisaged as solution to spectral shortage problems by allowing agricultural cognitive users to co-exist with noncognitive users in the same spectrum on the field. Cognitive radios increase system capacity and spectral efficiency by sensing the spectrum and adapting the transmission parameters. This design requires a robust, adaptable and flexible physical layer to support cognitive radio functionality. In this paper, a novel physical layer architecture for cognitive radio based on cognition, cooperation, and cognitive interference avoidance has been developed by using power control for digital agriculture applications. The design is based on sensing of spectrum usage, detecting the message/spreading code of noncognitive users, cognitive relaying, cooperation, and cognition of channel parameters. Moreover, the power and rate allocation, ergodic, and outage capacity formulas are also presented.

[1]  Hang Su,et al.  Opportunistic Spectrum Sharing Schemes for CDMA-Based Uplink MAC in Cognitive Radio Networks , 2011, IEEE Journal on Selected Areas in Communications.

[2]  Gustavo de Veciana,et al.  Joint Network Capacity Region for Cognitive Networks Heterogeneous Environments and RF-Environment Awareness , 2011, IEEE Journal on Selected Areas in Communications.

[3]  B. B. Meshram,et al.  Challenges of spectrum sensing techniques for cognitive radio , 2011, ICWET.

[4]  Andrea J. Goldsmith,et al.  Breaking Spectrum Gridlock With Cognitive Radios: An Information Theoretic Perspective , 2009, Proceedings of the IEEE.

[5]  Jeffrey H. Reed,et al.  Defense against Primary User Emulation Attacks in Cognitive Radio Networks , 2008, IEEE Journal on Selected Areas in Communications.

[6]  Roy D. Yates,et al.  Capacity of Interference Channels With Partial Transmitter Cooperation , 2007, IEEE Transactions on Information Theory.

[7]  Qian Zhang,et al.  Implementation and Evaluation of Cooperative Communication Schemes in Software-Defined Radio Testbed , 2010, 2010 Proceedings IEEE INFOCOM.

[8]  Ying-Chang Liang,et al.  A Two-Phase Channel and Power Allocation Scheme for Cognitive Radio Networks , 2006, 2006 IEEE 17th International Symposium on Personal, Indoor and Mobile Radio Communications.

[9]  Simon Haykin,et al.  Cognitive radio: brain-empowered wireless communications , 2005, IEEE Journal on Selected Areas in Communications.

[10]  Anant Sahai,et al.  Fundamental design tradeoffs in cognitive radio systems , 2006, TAPAS '06.

[11]  B. Abolhassani,et al.  Blind multiuser data estimation in asynchronous and unequal power DS-SS systems without any prior knowledge of spreading sequences , 2009, 2009 IEEE Sarnoff Symposium.

[12]  Wei Yuan,et al.  A Cooperative Relay Scheme for Secondary Communication in Cognitive Radio Networks , 2008, IEEE GLOBECOM 2008 - 2008 IEEE Global Telecommunications Conference.

[13]  Elza Erkip,et al.  User cooperation diversity. Part II. Implementation aspects and performance analysis , 2003, IEEE Trans. Commun..

[14]  Ying-Chang Liang,et al.  Optimal Power Allocation Strategies for Fading Cognitive Radio Channels with Primary User Outage Constraint , 2011, IEEE Journal on Selected Areas in Communications.

[15]  Shu Wang,et al.  Blind adaptive multiuser detection , 2005, GLOBECOM '05. IEEE Global Telecommunications Conference, 2005..

[16]  Patrick Mitran,et al.  Achievable rates in cognitive radio channels , 2006, IEEE Transactions on Information Theory.

[17]  Qian Zhang,et al.  Cooperative relay to improve diversity in cognitive radio networks , 2009, IEEE Commun. Mag..

[18]  Sastri L. Kota,et al.  Introduction to the Issue on Cooperative Communication and Signal Processing in Cognitive Radio Systems , 2011, IEEE Journal of Selected Topics in Signal Processing.

[19]  Elza Erkip,et al.  User cooperation diversity. Part I. System description , 2003, IEEE Trans. Commun..

[20]  Rajarathnam Chandramouli,et al.  Dynamic Spectrum Access with QoS and Interference Temperature Constraints , 2007, IEEE Transactions on Mobile Computing.

[21]  Danijela Cabric,et al.  Physical layer design issues unique to cognitive radio systems , 2005, 2005 IEEE 16th International Symposium on Personal, Indoor and Mobile Radio Communications.

[22]  Mehmet C. Vuran,et al.  Di-Sense: In situ real-time permittivity estimation and soil moisture sensing using wireless underground communications , 2019, Comput. Networks.

[23]  Dusit Niyato,et al.  A Game-Theoretic Approach to Competitive Spectrum Sharing in Cognitive Radio Networks , 2007, 2007 IEEE Wireless Communications and Networking Conference.

[24]  Joseph Mitola,et al.  Cognitive Radio An Integrated Agent Architecture for Software Defined Radio , 2000 .

[25]  Sergio Verdú,et al.  Near-far resistance of multiuser detectors in asynchronous channels , 1990, IEEE Trans. Commun..