On the Performance of Spectrum-Sharing Backscatter Communication Systems

Spectrum sharing backscatter communication systems are among the most prominent technologies for ultralow power and spectrum efficient communications. In this paper, we propose an underlay spectrum sharing backscatter communication system, in which the secondary network is a backscatter communication system. We analyze the performance of the secondary network under a transmit power adaption strategy at the secondary transmitter, which guarantees that the interference caused by the secondary network to the primary receiver is below a predetermined threshold. We first derive a novel analytical expression for the cumulative distribution function (CDF) of the instantaneous signal-to-noise ratio of the secondary network. Capitalizing on the obtained CDF, we derive novel accurate approximate expressions for the ergodic capacity, effective capacity and average bit error rate. We further validate our theoretical analysis using extensive Monte Carlo simulations.

[1]  Costas N. Georghiades,et al.  On the effective rate of MISO/TAS systems in Rayleigh fading , 2017, 2017 IEEE International Symposium on Information Theory (ISIT).

[2]  Gee-Kung Chang,et al.  Key Enabling Technologies for the Post-5G Era: Fully Adaptive, All-Spectra Coordinated Radio Access Network with Function Decoupling , 2020, IEEE Communications Magazine.

[3]  J.E. Mazo,et al.  Digital communications , 1985, Proceedings of the IEEE.

[4]  Hongbo Zhu,et al.  Noncoherent Detections for Ambient Backscatter System , 2017, IEEE Transactions on Wireless Communications.

[5]  Mohamed-Slim Alouini,et al.  Smart radio environments empowered by reconfigurable AI meta-surfaces: an idea whose time has come , 2019, EURASIP Journal on Wireless Communications and Networking.

[6]  Kerstin Vogler,et al.  Table Of Integrals Series And Products , 2016 .

[7]  Ekram Hossain,et al.  Cognitive radio networks and spectrum sharing , 2016 .

[8]  Chintha Tellambura,et al.  Large-Scale Wireless-Powered Networks With Backscatter Communications—A Comprehensive Survey , 2020, IEEE Open Journal of the Communications Society.

[9]  Colby Boyer,et al.  Coded QAM Backscatter Modulation for RFID , 2012, IEEE Transactions on Communications.

[10]  Erik G. Larsson,et al.  Symbiotic Radio: Cognitive Backscattering Communications for Future Wireless Networks , 2020, IEEE Transactions on Cognitive Communications and Networking.

[11]  Zhu Han,et al.  The Tradeoff Analysis in RF-Powered Backscatter Cognitive Radio Networks , 2016, 2016 IEEE Global Communications Conference (GLOBECOM).

[12]  Mohamed Ibnkahla,et al.  An Accurate Approximation of the Exponential Integral Function Using a Sum of Exponentials , 2013, IEEE Communications Letters.

[13]  Ying-Chang Liang,et al.  Cognitive Backscatter Network: A Spectrum Sharing Paradigm for Passive IoT , 2019, IEEE Wireless Communications Letters.

[14]  Chintha Tellambura,et al.  Ambient Backscatter Communication Systems: Detection and Performance Analysis , 2016, IEEE Transactions on Communications.

[15]  Andrzej H. Wojnar,et al.  Unknown Bounds on Performance in Nakagami Channels , 1986, IEEE Trans. Commun..

[16]  Mohamed-Slim Alouini,et al.  Capacity of MIMO Rician channels , 2006, IEEE Transactions on Wireless Communications.

[17]  Miao Pan,et al.  Noncoherent Backscatter Communications Over Ambient OFDM Signals , 2019, IEEE Transactions on Communications.

[18]  Kaibin Huang,et al.  Opportunistic Wireless Energy Harvesting in Cognitive Radio Networks , 2013, IEEE Transactions on Wireless Communications.

[19]  D. Owen Handbook of Mathematical Functions with Formulas , 1965 .

[20]  Paschalis C. Sofotasios,et al.  Opportunistic Ambient Backscatter Communication in RF-Powered Cognitive Radio Networks , 2019, IEEE Transactions on Cognitive Communications and Networking.

[21]  Dong In Kim,et al.  Overlay RF-powered backscatter cognitive radio networks: A game theoretic approach , 2017, 2017 IEEE International Conference on Communications (ICC).

[22]  Dong In Kim,et al.  Ambient Backscatter Communications: A Contemporary Survey , 2017, IEEE Communications Surveys & Tutorials.

[23]  Mohamed-Slim Alouini,et al.  A New Formula for the BER of Binary Modulations with Dual-Branch Selection over Generalized-K Composite Fading Channels , 2010, IEEE Transactions on Communications.

[24]  Mohamed-Slim Alouini,et al.  Performance Analysis of Monostatic Multi-Tag Backscatter Systems With General Order Tag Selection , 2020, IEEE Wireless Communications Letters.

[25]  Marco Chiani,et al.  On the LoRa Modulation for IoT: Waveform Properties and Spectral Analysis , 2019, IEEE Internet of Things Journal.

[26]  Dapeng Wu,et al.  Effective capacity: a wireless link model for support of quality of service , 2003, IEEE Trans. Wirel. Commun..

[27]  David Wetherall,et al.  Ambient backscatter: wireless communication out of thin air , 2013, SIGCOMM.

[28]  Mahesh Sooriyabandara,et al.  Low Power Wide Area Networks: An Overview , 2016, IEEE Communications Surveys & Tutorials.

[29]  W. Marsden I and J , 2012 .

[30]  Zhu Han,et al.  Ambient Backscatter: A New Approach to Improve Network Performance for RF-Powered Cognitive Radio Networks , 2017, IEEE Transactions on Communications.

[31]  David Tse,et al.  Fundamentals of Wireless Communication , 2005 .

[32]  Joseph Lipka,et al.  A Table of Integrals , 2010 .

[33]  Saman Atapattu,et al.  Ambient Backscatter Communication Systems: Capacity and Outage Performance Analysis , 2018, IEEE Access.

[34]  Robert W. Heath,et al.  Five disruptive technology directions for 5G , 2013, IEEE Communications Magazine.

[35]  Yiyang Pei,et al.  Modulation in the Air: Backscatter Communication Over Ambient OFDM Carrier , 2017, IEEE Transactions on Communications.

[36]  Nikos C. Sagias,et al.  Effective Capacity of Multisource Multidestination Cooperative Systems Under Cochannel Interference , 2018, IEEE Transactions on Vehicular Technology.

[37]  Andrea Giorgetti,et al.  Emerging Distributed Programming Paradigm for Cyber-Physical Systems Over LoRaWANs , 2018, 2018 IEEE Globecom Workshops (GC Wkshps).

[38]  Zhu Han,et al.  Wireless-Powered Device-to-Device Communications With Ambient Backscattering: Performance Modeling and Analysis , 2017, IEEE Transactions on Wireless Communications.

[39]  Zhangdui Zhong,et al.  Coding and Detection Schemes for Ambient Backscatter Communication Systems , 2017, IEEE Access.

[40]  Mohamed-Slim Alouini,et al.  Reconfigurable Intelligent Surfaces for Localization: Position and Orientation Error Bounds , 2020, IEEE Transactions on Signal Processing.

[41]  Donatella Darsena,et al.  Modeling and Performance Analysis of Wireless Networks With Ambient Backscatter Devices , 2017, IEEE Transactions on Communications.

[42]  Mohamed-Slim Alouini,et al.  Asymptotic Performance Analysis of Generalized User Selection for Interference-Limited Multiuser Secondary Networks , 2019, IEEE Transactions on Cognitive Communications and Networking.

[43]  Hongbo Zhu,et al.  Semi-Coherent Detection and Performance Analysis for Ambient Backscatter System , 2016, IEEE Transactions on Communications.

[44]  H. Vincent Poor,et al.  Large Intelligent Surface/Antennas (LISA) Assisted Symbiotic Radio for IoT Communications , 2020, 2002.00340.

[45]  Julian Cheng,et al.  An Approximate BER Analysis for Ambient Backscatter Communication Systems With Tag Selection , 2017, IEEE Access.

[46]  Mandy Eberhart,et al.  Digital Communication Over Fading Channels , 2016 .