Skip to main content

Research on Beamforming Algorithm for Group Scenario in Broadband Trunking System Downlink

  • Conference paper
  • First Online:
Communications, Signal Processing, and Systems (CSPS 2017)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 463))

  • 126 Accesses

Abstract

In recent years, broadband trunking system has attracted much attention as its high rate, which can replace narrow band trunking system in private network. Beamforming technology, developed from smart antenna technology, sending the signal precoding processing, can effectively improve the system’s energy efficiency. In this paper, the multicast beamforming algorithm based on the group user CSI is proposed to improve the energy efficiency of the system. Multi-user beamforming technology can improve the energy efficiency of BSs in group scenarios of broadband Trunking system, and guarantee the QoS of group users. The two optimization problems are both NP-hard. The paper adopts SDR, dropping some constraints in the original optimization problem, transform the original optimization problem into SDP to achieve the approximation solution. The improved algorithm guarantees the QoS of the group users by changing the priority of the user. Multi-user beamforming technology can improve the energy efficiency of base stations in group scenarios of broadband Trunking system, and guarantee the QoS of group users.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 259.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 329.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 329.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Larsson, E.G., Edfors, O., Tufvesson, F., Marzetta, T.L.: Massive mimo for next generation wireless systems. IEEE Commun. Mag. 52(2), 186–195 (2014)

    Google Scholar 

  2. Wang, A.Y., Hur, S., Park, Y., Choi, J.H.: Efficient user selection algorithms for multiuser mimo systems with zero-forcing dirty paper coding. J. Commun. Netw. 13(3), 232–239 (2011)

    Google Scholar 

  3. Shenouda, M.B., Davidson, T.N.: Convex conic formulations of robust downlink precoder designs with quality of service constraints. IEEE J. Sel. Top. Sig. Process. 1(4), 714–724 (2007)

    Google Scholar 

  4. Benkhelifa, F., Tall, A., Rezki, Z., Alouini, M.S.: On the low SNR capacity of mimo fading channels with imperfect channel state information. IEEE Trans. Commun. 62(6), 1921–1930 (2014)

    Google Scholar 

  5. Gong, Q., Chen, Z., Wei, G.: Downlink multicasting beamforming with imperfect CSI on both transceiver sides.In: IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, pp. 1472–1477. IEEE (2012)

    Google Scholar 

  6. Khojastepour, M.A., Salehi-Golsefidi, A., Rangarajan, S.: Towards an optimal beamforming algorithm for physical layer multicasting. In: Information Theory Workshop, pp. 395–399. IEEE (2011)

    Google Scholar 

  7. Tseng, P.: Further results on approximating nonconvex quadratic optimization by semi definite programming relaxation 14(1), 268–283 (2001)

    Google Scholar 

Download references

Acknowledgement

This work is supported by the National Science and Technology Major Specific Projects of China (Grant No. 2015ZX03004002-004).

Author information

Authors and Affiliations

Authors

Corresponding authors

Correspondence to Chengwen Zhang or Xuanhong Yan .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Zhang, C., Yan, X., Guo, S., He, C. (2019). Research on Beamforming Algorithm for Group Scenario in Broadband Trunking System Downlink. In: Liang, Q., Mu, J., Jia, M., Wang, W., Feng, X., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2017. Lecture Notes in Electrical Engineering, vol 463. Springer, Singapore. https://doi.org/10.1007/978-981-10-6571-2_118

Download citation

  • DOI: https://doi.org/10.1007/978-981-10-6571-2_118

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-6570-5

  • Online ISBN: 978-981-10-6571-2

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics