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Erschienen in: Arabian Journal for Science and Engineering 3/2020

27.09.2019 | Research Article - Electrical Engineering

Convex Optimization Approach to Joint Interference and Distortion Minimization in Energy Harvesting Wireless Sensor Networks

verfasst von: G. Vieeralingaam, R. Ramanathan, M. Jayakumar

Erschienen in: Arabian Journal for Science and Engineering | Ausgabe 3/2020

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Abstract

In this paper, we solve a problem of interference and distortion minimization as a joint optimization problem in energy harvesting wireless sensor networks with resource allocation constraints. The problem is initially cast as a non-convex problem involving a quadratic sum of ratios. We then transform the problem into convex posed as a sum of difference problem. Further, a solution is obtained via a modified Newton’s method. Numerical simulations for the proposed strategy are conducted, and the parameters analyzed include error variance and energy available for harvesting. The results corroborate the effectiveness of the proposed strategy even with channel estimation errors.

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Literatur
1.
Zurück zum Zitat Akyildiz, I.F.; Weilian, S.; Sankarasubramaniam, Y.; Cayirci, E.: A survey on sensor networks. IEEE Commun. Mag. 40(8), 102–114 (2002)CrossRef Akyildiz, I.F.; Weilian, S.; Sankarasubramaniam, Y.; Cayirci, E.: A survey on sensor networks. IEEE Commun. Mag. 40(8), 102–114 (2002)CrossRef
2.
Zurück zum Zitat Boshkovska, E.; Koelpin, A.; Ng, D.W.K.; Zlatanov, N.; Schober, R.: Robust beamforming for SWIPT systems with non-linear energy harvesting model. In: IEEE 17th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), pp. 1–5 (2016) Boshkovska, E.; Koelpin, A.; Ng, D.W.K.; Zlatanov, N.; Schober, R.: Robust beamforming for SWIPT systems with non-linear energy harvesting model. In: IEEE 17th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), pp. 1–5 (2016)
3.
Zurück zum Zitat Knorn, S.; Dey, S.; Ahlén, A.; Quevedo, D.E.: Distortion minimization in multi-sensor estimation using energy harvesting and energy sharing. IEEE Trans. Signal Process. 63(11), 2848–2863 (2015)MathSciNetCrossRef Knorn, S.; Dey, S.; Ahlén, A.; Quevedo, D.E.: Distortion minimization in multi-sensor estimation using energy harvesting and energy sharing. IEEE Trans. Signal Process. 63(11), 2848–2863 (2015)MathSciNetCrossRef
4.
Zurück zum Zitat Nourian, M.; Dey, S.; Ahlén, A.: Distortion minimization in multi-sensor estimation with energy harvesting. IEEE J. Sel. Areas Commun. 33(3), 524–539 (2015)CrossRef Nourian, M.; Dey, S.; Ahlén, A.: Distortion minimization in multi-sensor estimation with energy harvesting. IEEE J. Sel. Areas Commun. 33(3), 524–539 (2015)CrossRef
5.
Zurück zum Zitat Grover, P.; Sahai, A.: Shannon meets Tesla: wireless information and power transfer. In: IEEE International Symposium on Information Theory (2010) Grover, P.; Sahai, A.: Shannon meets Tesla: wireless information and power transfer. In: IEEE International Symposium on Information Theory (2010)
6.
Zurück zum Zitat Cui, S.; Xiao, J.-J.; Goldsmith, A.J.; Luo, Z.-Q.; Vincent Poor, H.: Estimation diversity and energy efficiency in distributed sensing. IEEE Trans. Signal Process. 55(9), 4683–4695 (2007)MathSciNetCrossRef Cui, S.; Xiao, J.-J.; Goldsmith, A.J.; Luo, Z.-Q.; Vincent Poor, H.: Estimation diversity and energy efficiency in distributed sensing. IEEE Trans. Signal Process. 55(9), 4683–4695 (2007)MathSciNetCrossRef
7.
Zurück zum Zitat Ng, D.W.K.; Lo, E.S.; Schober, R.: Energy-efficient resource allocation for secure OFDMA systems. IEEE Trans. Veh. Technol. 61(6), 2572–2585 (2012)CrossRef Ng, D.W.K.; Lo, E.S.; Schober, R.: Energy-efficient resource allocation for secure OFDMA systems. IEEE Trans. Veh. Technol. 61(6), 2572–2585 (2012)CrossRef
8.
Zurück zum Zitat Wu, Q.; Tao, M.; Ng, D.W.K.; Chen, W.; Schober, R.: Energy-efficient resource allocation for wireless powered communication networks. IEEE J. Sel. Areas Commun. 15(3), 2312–2327 (2015) Wu, Q.; Tao, M.; Ng, D.W.K.; Chen, W.; Schober, R.: Energy-efficient resource allocation for wireless powered communication networks. IEEE J. Sel. Areas Commun. 15(3), 2312–2327 (2015)
9.
Zurück zum Zitat Boshkovska, E.; Ng, D.W.K.; Zlatanov, N.; Schober, R.: Practical non-linear energy harvesting model and resource allocation for SWIPT systems. IEEE Commun. Lett. 19(12), 2082–2085 (2015)CrossRef Boshkovska, E.; Ng, D.W.K.; Zlatanov, N.; Schober, R.: Practical non-linear energy harvesting model and resource allocation for SWIPT systems. IEEE Commun. Lett. 19(12), 2082–2085 (2015)CrossRef
10.
Zurück zum Zitat Pengfei, D.; Yang, Q.; Shen, Z.; Kwak, K.S.: Distortion minimization in wireless sensor networks with energy harvesting. IEEE Commun. Lett. 21(6), 1393–1396 (2017)CrossRef Pengfei, D.; Yang, Q.; Shen, Z.; Kwak, K.S.: Distortion minimization in wireless sensor networks with energy harvesting. IEEE Commun. Lett. 21(6), 1393–1396 (2017)CrossRef
11.
Zurück zum Zitat Le, T.; Mayaram, K.; Fiez, T.: Efficient far-field radio frequency energy harvesting for passively powered sensor networks. IEEE J. Solid-State Circuits 43(5), 1287–1302 (2008)CrossRef Le, T.; Mayaram, K.; Fiez, T.: Efficient far-field radio frequency energy harvesting for passively powered sensor networks. IEEE J. Solid-State Circuits 43(5), 1287–1302 (2008)CrossRef
12.
Zurück zum Zitat Guo, J.; Zhu, X.: An improved analytical model for RF-DC conversion efficiency in microwave rectifiers. In: IEEE/MTT-S International Microwave Symposium Digest, pp. 1–3 (2008) Guo, J.; Zhu, X.: An improved analytical model for RF-DC conversion efficiency in microwave rectifiers. In: IEEE/MTT-S International Microwave Symposium Digest, pp. 1–3 (2008)
13.
Zurück zum Zitat Krikidis, I.; Timotheou, S.; Nikolaou, S.; Zheng, G.; Ng, D.W.K.; Schober, R.: Simultaneous wireless information and power transfer in modern communication systems. IEEE Commun. Mag. 52(11), 104–110 (2014)CrossRef Krikidis, I.; Timotheou, S.; Nikolaou, S.; Zheng, G.; Ng, D.W.K.; Schober, R.: Simultaneous wireless information and power transfer in modern communication systems. IEEE Commun. Mag. 52(11), 104–110 (2014)CrossRef
14.
Zurück zum Zitat Zhang, R.; Ho, C.K.: MIMO broadcasting for simultaneous wireless information and power transfer. IEEE Trans. Wirel. Commun. 12(5), 1989–2001 (2013)CrossRef Zhang, R.; Ho, C.K.: MIMO broadcasting for simultaneous wireless information and power transfer. IEEE Trans. Wirel. Commun. 12(5), 1989–2001 (2013)CrossRef
15.
Zurück zum Zitat Varshney, L.R.: Transporting information and energy simultaneously. In: IEEE International Symposium on Information Theory (2008) Varshney, L.R.: Transporting information and energy simultaneously. In: IEEE International Symposium on Information Theory (2008)
17.
Zurück zum Zitat Ramanathan, R.; Jayakumar, M.: A low complex sparse formulation of semidefinite relaxation detector for large-MIMO systems employing BPSK constellations. Wirel. Pers. Commun. 90(3), 1317–1329 (2016)CrossRef Ramanathan, R.; Jayakumar, M.: A low complex sparse formulation of semidefinite relaxation detector for large-MIMO systems employing BPSK constellations. Wirel. Pers. Commun. 90(3), 1317–1329 (2016)CrossRef
18.
Zurück zum Zitat Ramesh, M.V.: Design, development, and deployment of a wireless sensor network for detection of landslides. Ad Hoc Netw. 13, 2–18 (2014)CrossRef Ramesh, M.V.: Design, development, and deployment of a wireless sensor network for detection of landslides. Ad Hoc Netw. 13, 2–18 (2014)CrossRef
20.
Zurück zum Zitat Kay, S.M.: Fundamentals of Statistical Signal Processing: Estimation Theory. Prentice-Hall, Englewood Cliffs (1993)MATH Kay, S.M.: Fundamentals of Statistical Signal Processing: Estimation Theory. Prentice-Hall, Englewood Cliffs (1993)MATH
21.
Zurück zum Zitat Boyd, S.; Vandenberghe, L.: Convex Optimization. Cambridge University Press, Cambridge (2004)CrossRef Boyd, S.; Vandenberghe, L.: Convex Optimization. Cambridge University Press, Cambridge (2004)CrossRef
22.
Zurück zum Zitat Kocer, F.; Walsh, P.M.; Flynn, M.P.: An RF powered, wireless temperature sensor in quarter micron CMOS. IEEE Int. Symp. Circuits Syst. 4, 4–876 (2004) Kocer, F.; Walsh, P.M.; Flynn, M.P.: An RF powered, wireless temperature sensor in quarter micron CMOS. IEEE Int. Symp. Circuits Syst. 4, 4–876 (2004)
23.
Zurück zum Zitat Curty, J.-P.; Joehl, N.; Dehollain, C.; Declercq, M.J.: Remotely powered addressable UHF RFID integrated system. IEEE J. Solid-State Circuits 40(11), 2193–2202 (2005)CrossRef Curty, J.-P.; Joehl, N.; Dehollain, C.; Declercq, M.J.: Remotely powered addressable UHF RFID integrated system. IEEE J. Solid-State Circuits 40(11), 2193–2202 (2005)CrossRef
Metadaten
Titel
Convex Optimization Approach to Joint Interference and Distortion Minimization in Energy Harvesting Wireless Sensor Networks
verfasst von
G. Vieeralingaam
R. Ramanathan
M. Jayakumar
Publikationsdatum
27.09.2019
Verlag
Springer Berlin Heidelberg
Erschienen in
Arabian Journal for Science and Engineering / Ausgabe 3/2020
Print ISSN: 2193-567X
Elektronische ISSN: 2191-4281
DOI
https://doi.org/10.1007/s13369-019-04160-7

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