Abstract
In recent years, building Internet of Things (IoT) systems through backscatter communication techniques has gained rapid popularity. Backscatter communication relying on passive reflections of the existing RF signals enables low-power and low-complexity communication, which exactly meets the requirements of many emerging IoT applications. However, the performance of the backscatter communication systems severely degrades due to the fact that the real-life radio-frequency excitation signals such as WiFi transmissions have dynamic property. To examine how the dynamic property affects the performance of backscatter systems, it is of great significance to theoretically analyze the capacity and data rate. We can then use these analyses to optimize the backscatter systems. In this paper, we investigate the capacity and the achievable data rate of the ambient backscatter with the dynamic excitation. In particular, we model the dynamic source as a Bernoulli distribution and derive the corresponding channel capacity. We then use the maximum a posteriori criterion to build the optimal signal detection algorithm. The numerical results verify our theoretical analysis and prove that the effect of dynamic property is significant. Moreover, we find that the random excitation has much more influence on the system performance than other impact factors, like the signal-to-noise ratio.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Liu, V., Parks, A., Talla, V., Gollakota, S., Wetherall, D., Smith, J.R.: Ambient backscatter: wireless communication out of thin air. In: Proceedings of ACM SIGCOMM, New York, NY, USA. ACM (2013)
Bharadia, D., Joshi, K.R., Kotaru, M., Katti, S.: BackFi: high throughput wifi backscatter. In: Proceedings of ACM SIGCOMM, New York, NY, USA, pp. 283–296. ACM (2015)
Chen, G., Li, Z.: Peer-to-Peer Network: Structure, Application and Design. Tsinghua University Press, Beijing (2007)
Mi, N., et al.: Cbma: Coded-backscatter multiple access. In: 2019 IEEE 39th International Conference on Distributed Computing Systems (ICDCS), pp. 799–809 (2019)
Zhang, P., Bharadia, D., Joshi, K., Katti, S.: HitchHike: Practical backscatter using commodity wifi. In: Proceedings of ACM SenSys, New York, NY, USA. ACM (2016)
Zhang, P., Josephson, C., Bharadia, D., Katti, S.: FreeRider: backscatter communication using commodity radios. In: Proceedings of CoNEXT, New York, NY, USA. ACM (2017)
Qian, J., Zhu, Y., He, C., Gao, F., Jin, S.: Achievable rate and capacity analysis for ambient backscatter communications. IEEE Trans. Commun. 67(9), 6299–6310 (2019)
Zhao, W., Wang, G., Gao, F., Zou, Y., Atapattu, S.: Channel capacity and lower bound for ambient backscatter communication systems. In: 2017 9th International Conference on Wireless Communications and Signal Processing (WCSP) (2017)
Wang, G., Gao, F., Fan, R., Tellambura, C.: Ambient backscatter communication systems: Detection and performance analysis. IEEE Trans. Commun. 64(11), 4836–4846 (2016)
Qian, J., Gao, F.: Semi-coherent detector of ambient backscatter communication for the internet of things. In: 2017 IEEE 18th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), pp. 1–5 (2017)
Liu, Y., Wang, G., Dou, Z., Zhong, Z.: Coding and detection schemes for ambient backscatter communication systems. IEEE Access 5, 4947–4953 (2017)
He, X., Jiang, W., Cheng, M., Zhou, X., Yang, P., Kurkoski, B.: Guardrider: reliable WiFi backscatter using reed-Solomon codes with QoS guarantee. In: Proceedings IEEE/ACM IWQoS, Hangzhou, China, June 2020
Chiani, M., Dardari, D., Simon, M.K.: New exponential bounds and approximations for the computation of error probability in fading channels. IEEE Trans. Wireless Commun. 2(4), 840–845 (2003)
Moskowitz, I.S.: Approximations for the capacity of binary input discrete memoryless channels. In: 2010 44th Annual Conference on Information Sciences and Systems (CISS), pp. 1–5 (2010)
Chen, W.: Cao-sir: channel aware ordered successive relaying. IEEE Trans. Wireless Commun. 13(12), 6513–6527 (2014)
Acknowledgement
This research is in part supported by National key research and development plan 2018YFB2100302, and in part by PCL Future Greater-Bay Area Network Facilities for Large-scale Experiments and Applications (LZC0019) and Education Department Fundamental Research Project WK2150110010, and by the NSF China under Grants No. 61702011, 61772546, 61625205, 61632010, 61751211, 61190114, 61232018, PAPD, CICAEET and NSF of Jiangsu For Distinguished Young Scientist: BK20150030, and in part supported by the Anhui Provincial Natural Science Foundation: 1808085QF191, 1908085QF296, and in part supported by the University Synergy Innovation Program of Anhui Province under Grant No. GXXT-2019-024. Corresponding authors are Panlong Yang and Xin He.
Author information
Authors and Affiliations
Corresponding authors
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Li, P., He, X., Freris, N.M., Yang, P. (2020). Capacity Analysis of Ambient Backscatter System with Bernoulli Distributed Excitation. In: Yu, D., Dressler, F., Yu, J. (eds) Wireless Algorithms, Systems, and Applications. WASA 2020. Lecture Notes in Computer Science(), vol 12384. Springer, Cham. https://doi.org/10.1007/978-3-030-59016-1_19
Download citation
DOI: https://doi.org/10.1007/978-3-030-59016-1_19
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-59015-4
Online ISBN: 978-3-030-59016-1
eBook Packages: Computer ScienceComputer Science (R0)