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SINR Maximization in Relay-Assisted Multi-user Wireless Networks

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Information Technology: New Generations

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 448))

Abstract

This paper considers throughput maximization in relays based multi-user wireless networks by enhancing the worst signal-to-interference-plus-noise ratio (SINR) among multiple users. Unlike the existing approaches that use semidefinite relaxation coupled with Gaussian randomization (SDR-G), we utilize the d.c. (difference of two convex functions) structure of the resulting objective function to develop efficient iterative algorithms of low complexity. Numerical results demonstrate that the proposed algorithm locates solutions that are close to the upper bound by a few iterations, and hence, shows better performance than the other methods.

Umar Rashid—Umar Rashid is also with Alkhwarizmi Institute of Computer Science (KICS) UET, Lahore.

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References

  1. Fan, L., Lei, X., Duong, T.Q., Elkashlan, M., Karagiannidis, G.K.: Secure multiuser communications in multiple amplify-and-forward relay networks. IEEE Trans. on Comm. 62, 3299–3310 (2014)

    Article  Google Scholar 

  2. Chatzipanagiotis, N., Liu, Y., Petropulu, A., Zavlanos, M.: Distributed cooperative beamforming in multi-source multi-destination clustered systems. IEEE Trans. on Signal Processing. 62, 6105–6117 (2014)

    Article  MathSciNet  Google Scholar 

  3. Jing, Y., Jafarkhani, H.: Single and Multiple Relay Selection Schemes and Their Achievable Diversity Orders. IEEE Trans. on Wireless Comm. 8, 1414–1423 (2009)

    Article  Google Scholar 

  4. Soysa, M., Suraweera, H., Tellambura, C., Garg, H.K.: Multiuser amplify-and-forward relaying with delayed feedback in Nakagami-m fading. In: IEEE Wireless Communications and Networking Conference (WCNC), pp. 1724–1729 (2011)

    Google Scholar 

  5. Fazeli-Dehkordy, S., Shahbazpanahi, S.: Multiple peer-to-peer communications using a network of relays. IEEE Trans. on Signal Processing. 57, 3053–3062 (2009)

    Article  MathSciNet  Google Scholar 

  6. Hsieh, P., Lin, Y., Chen, S.G.: Robust distributed beamforming design in amplify-and-forward relay systems with multiple user pairs. In: 23rd IEEE International Conference on Software, Telecommunications and Computer Networks (SoftCOM), pp. 371–375 (2015)

    Google Scholar 

  7. Tuy, H.: Convex Analysis and Global Optimization. Kluwer Academic Publishers (1998)

    Google Scholar 

  8. Rashid, U., Tuan, H.D., Nguyen, H.: Relay Beamforming Designs in Multi-user Wireless Relay Networks based on Throughput Maximin Optimization. IEEE Trans. on Comm. 99, 1739–1749 (2013)

    Article  Google Scholar 

  9. Boyd, S., Vandenberghe, L.: Convex Optimization. Cambridge University Press (2004)

    Google Scholar 

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Correspondence to Umar Rashid .

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© 2016 Springer International Publishing Switzerland

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Rashid, U., Awan, F.G., Kamran, M. (2016). SINR Maximization in Relay-Assisted Multi-user Wireless Networks. In: Latifi, S. (eds) Information Technology: New Generations. Advances in Intelligent Systems and Computing, vol 448. Springer, Cham. https://doi.org/10.1007/978-3-319-32467-8_8

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  • DOI: https://doi.org/10.1007/978-3-319-32467-8_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-32466-1

  • Online ISBN: 978-3-319-32467-8

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