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Wireless Personal Communications
Erschienen in: Wireless Personal Communications 4/2017

02.06.2017

Energy-Harvesting Decode-and-Forward Relaying Under Hardware Impairments

verfasst von: Pham Ngoc Son, Hyung Yun Kong

Erschienen in: Wireless Personal Communications | Ausgabe 4/2017

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Abstract

In this paper, we propose a decode-and-forward relaying scheme under the effects of hardware impairments. In this proposed scheme, a cooperative relay uses a power-splitting receiver to harvest energy from the radio-frequency signals of a source node and applies a decode-and-forward technique to process the arriving signals. The system performance of the proposed protocol is analyzed in terms of the exact outage probability. Monte Carlo simulation is used to verify the theoretical analysis. Performance evaluations show that the proposed protocol performs best at an optimal power splitting ratio, and outperforms a direct transmission scheme when the relay is far to the destination. The optimal power splitting ratio is obtained more precisely using the golden section search method. In addition, serious effects of hardware impairments robustly diminish the system performance of the proposed protocol and the direct transmission protocol. Finally, the outage probability expressions match the simulation values well.
Vorheriger Artikel DK-LEACH: An Optimized Cluster Structure Routing Method Based on LEACH in Wireless Sensor Networks
Nächster Artikel Pairing and Scheduling for Large Array MIMO Using Regularized Channel Inversion Receivers Over Nakagami-m Fading

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Literatur
1.
Costa, E., & Pupolin, S. (2002). m-QAM-OFDM system performance in the presence of a nonlinear amplifier and phase noise. IEEE Transactions on Communications, 50, 462–472.CrossRef
2.
Schenk, T. (2008). RF imperfections in high-rate wireless systems: Impact and digital compensation. Dordrecht: Springer.CrossRef
3.
Studer, C., Wenk, M., & Burg, A. (2010). MIMO transmission with residual transmit-RF impairments. International ITG Workshop on Smart Antennas (WSA), 2010, 189–196.CrossRef
4.
Bjornson, E., Matthaiou, M., & Debbah, M. (2013). A new look at dual-hop relaying: Performance limits with hardware impairments. IEEE Transactions on Communications, 61, 4512–4525.CrossRef
5.
Matthaiou, M., Papadogiannis, A., Bjornson, E., & Debbah, M. (2013). Two-way relaying under the presence of relay transceiver hardware impairments. IEEE Communications Letters, 17, 1136–1139.CrossRef
6.
Bjornson, E., Papadogiannis, A., Matthaiou, M., & Debbah, M. (2013). On the impact of transceiver impairments on af relaying. IEEE international conference on acoustics, speech and signal processing (ICASSP) 2013 (pp. 4948–4952).
7.
Kefeng, G., Jin, C., Guoxin, L., & Xueling, W. (2014). Outage analysis of cooperative cellular network with hardware impairments. International conference on information science, electronics and electrical engineering (ISEEE) 2014 (pp. 1416–1420).
8.
Kefeng, G., Jin, C., Yuzhen, H., Guoxin, L., & Nian, L. (2014). Outage and capacity analysis between opportunistic and partial relay cooperative network with hardware impairments. International workshop on high mobility wireless communications (HMWC) 2014 (pp. 78–83).
9.
Duy, T. T., Duong, T. Q., da Costa, D. B., Bao, V. N. Q., & Elkashlan, M. (2015). Proactive relay selection with joint impact of hardware impairment and co-channel interference. IEEE Transactions on Communications, 63, 1594–1606.CrossRef
10.
Nosratinia, A., Hunter, T. E., & Hedayat, A. (2004). Cooperative communication in wireless networks. IEEE Communications Magazine, 42, 74–80.CrossRef
11.
Laneman, J. N., Tse, D. N. C., & Wornell, G. W. (2004). Cooperative diversity in wireless networks: Efficient protocols and outage behavior. IEEE Transactions on Information Theory, 50, 3062–3080.MathSciNetCrossRefMATH
12.
Duy, T. T., & Kong, H. Y. (2014). Adaptive cooperative decode-and-forward transmission with power allocation under interference constraint. Wireless Personal Communications (WPC), 74, 401–414.CrossRef
13.
Nguyen, S. Q., & Kong, H. Y. (2015). Outage performance and diversity analysis of cognitive triple-hop cluster-based networks under interference constraint. Wireless Personal Communications (WPC), 85, 1669–1688.CrossRef
14.
Raghunathan, V., Ganeriwal, S., & Srivastava, M. (2006). Emerging techniques for long lived wireless sensor networks. IEEE Communications Magazine, 44, 108–114.CrossRef
15.
Paradiso, J., & Starner, T. (2005). Energy scavenging for mobile and wireless electronics. IEEE Pervasive Computing, 4, 18–27.CrossRef
16.
Varshney, L. R. (2008). Transporting information and energy simultaneously. In IEEE international symposium on information theory, 2008 (ISIT 2008), 2008 (pp. 1612–1616).
17.
Zhou, X., Zhang, R., & Ho, C. K. (2013). Wireless information and power transfer: Architecture design and rate-energy tradeoff. IEEE Transactions on Communications, 61, 4754–4767.CrossRef
18.
Nasir, A. A., Xiangyun, Z., Durrani, S., & Kennedy, R. A. (2013). Relaying protocols for wireless energy harvesting and information processing. IEEE Transactions on Wireless Communications, 12, 3622–3636.CrossRef
19.
Zhiguo, D., Perlaza, S. M., Esnaola, I., & Poor, H. V. (2014). Power allocation strategies in energy harvesting wireless cooperative networks. IEEE Transactions on Wireless Communications, 13, 846–860.CrossRef
20.
Zhao, S., Li, Q., Zhang, Q., & Qin, J. (2015). Optimal secure relay beamforming for non-regenerative multi-relay networks with energy harvesting constraint. Wireless Personal Communications (WPC), 85, 2355–2365.CrossRef
21.
Papoulis, A., & Pillai, S. U. (2002). Probability, random variables and stochastic processes (4th ed.). New York: McGraw-Hill.
22.
Gradshteyn, I. S., Ryzhik, I. M., Jeffrey, A., & Zwillinger, D. (2007). Table of integral, series and products (7th ed.). Amsterdam: Elsevier.
23.
Chong, E. K. P., & Zak, S. H. (2001). An introduction to optimization (2nd ed.). NewYork: Wiley.MATH
Metadaten
Titel
Energy-Harvesting Decode-and-Forward Relaying Under Hardware Impairments
verfasst von
Pham Ngoc Son
Hyung Yun Kong
Publikationsdatum
02.06.2017
Verlag
Springer US
Erschienen in
Wireless Personal Communications / Ausgabe 4/2017
Print ISSN: 0929-6212
Elektronische ISSN: 1572-834X
DOI
https://doi.org/10.1007/s11277-017-4483-x

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