Skip to main content

Advertisement

Log in

RETRACTED ARTICLE: Antenna selection with improved group based particle swarm optimization (IGPSO) and joint adaptive beam forming for wideband millimeter wave communication

  • Original Research
  • Published:
Journal of Ambient Intelligence and Humanized Computing Aims and scope Submit manuscript

This article was retracted on 23 May 2022

This article has been updated

Abstract

In general, realization of large array communication for mm Wave systems is non-vital. Radio Traditional digital antenna array that comprises of one Radio Frequency (RF) chain for every antenna leads to high consumption of energy, complexity in signal processing, residue of noise. However, one major drawback of analogue beam forming lies in its inability to support spatial multiplexing. Minimum Variance Distortion less Response (MVDR) is enhanced to rectify this noise inference and also the variance/power of interference. The major aim of this work is to maximize the MVDR and minimum Signal-To-Interference-Plus-Noise Ratio (SINR through effective designing of beamforming and optimal selection of antenna. Antenna selection based on power is proposed at first step and beamforming vector is optimized after selection of antenna as like in single-user setup. In case of impossibility of separation of multi-path signal, performance is enhanced by an Improved Group based Particle Swarm Optimization (IGPSO) based antenna selection and Joint adaptive beamforming scheme is proposed. A Beamforming coefficient of the entire user’s associated with an antenna is assigned to zero by MVDR and SINR in order to deactivate certain antenna. So, IGPSO is deployed in design of beamforming and joint selection of antenna. It has a non-convex constraint. Convex constraint is used for effectively approximate it. Experimental results shows that proposed design including array of lens antenna is able to produce better performance than benchmark schemes with reduced Bit Error Rate (BER) and improved spectral efficiently in terms of Spectrum efficiency and max min rate.

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

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7

Similar content being viewed by others

Change history

References

  • Almagboul MA, Shu F, Qin Y, Zhou X, Wang J, Qian Y, Zou KJ, Abdelgader AMS (2019) An efficient hybrid beamforming design for massive MIMO receive systems via SINR maximization based on an improved bat algorithm. IEEE Access 7:136545–136558

    Article  Google Scholar 

  • Amadori PV, Masouros C (2015) Low RF-complexity millimeter-wave beamspace-MIMO systems by beam selection. IEEE Trans Commun 63(6):2212–2223

    Article  Google Scholar 

  • Ayeswarya R (2019) Fractional wavelet transform based OFDM system with cancellation of ICI. J Ambient Intell Hum Comput. https://doi.org/10.1007/s12652-019-01191-8

    Article  Google Scholar 

  • Boccardi F, Heath RW, Lozano A, Marzetta TL, Popovski P (2014) Five disruptive technology directions for 5G. IEEE Commun Mag 52(2):74–80

    Article  Google Scholar 

  • Dokhanchi SH, Mysore BS, Mishra KV, Ottersten B (2019) A mmWave automotive joint radar-communications system. IEEE Trans Aerosp Electron Syst 55(3):1241–1260

    Article  Google Scholar 

  • Dong K, Prasad N, Wang X, Zhu S (2011) Adaptive antenna selection and Tx/Rx beamforming for large-scale MIMO systems in 60 GHz channels. EURASIP J Wirel Commun Netw 1(59):1–14

    Google Scholar 

  • Feng DZ, Li XM, Lv H, Liu HW, Bao Z (2009) Two-sided minimum-variance distortionless response beamformer for MIMO radar. Signal Process 89(3):328–332

    Article  Google Scholar 

  • Gao X, Dai L, Sayeed AM (2018) Low RF-complexity technologies to enable millimeter-wave MIMO with large antenna array for 5G wireless communications. IEEE Commun Mag 56(4):211–217

    Article  Google Scholar 

  • Gapeyenko M, Petrov V, Moltchanov D, Andreev S, Koucheryavy Y, Valkama M, Akdeniz MR, Himayat N (2018) An analytical representation of the 3GPP 3D channel model parameters for mmWave bands. In: Proceedings of the 2nd ACM workshop on millimeter wave networks and sensing systems, pp 33–38

  • Guo R, Cai Y, Shi Q, Zhao M, Champagne B (2017) Joint design of beam selection and precoding for mmWave MU-MIMO systems with lens antenna array. In: IEEE annual international symposium on personal, indoor, and mobile radio communications (PIMRC), pp 1–5

  • He S, Huang Y, Wang J, Yang L, Hong W (2016) Joint antenna selection and energy-efficient beamforming design. IEEE Signal Process Lett 23(9):1165–1169

    Google Scholar 

  • Heath RW, Gonzalez-Prelcic N, Rangan S, Roh W, Sayeed AM (2016) An overview of signal processing techniques for millimeter wave MIMO systems. IEEE J Sel Top Signal Process 10(3):436–453

    Article  Google Scholar 

  • Huang W, Huang Y, Zeng Y, Yang L (2018) Wideband millimeter wave communication with lens antenna array: joint beamforming and antenna selection with group sparse optimization. IEEE Trans Wirel Commun 17(10):6575–6589

    Article  Google Scholar 

  • Jing J, Xiaoxue C, Yongbin X (2016) Energy-efficiency based downlink multi-user hybrid beamforming for millimeter wave massive MIMO system. J China Univ Posts Telecommun 23(4):53–62

    Article  Google Scholar 

  • Kadirkamanathan V, Selvarajah K, Fleming PJ (2006) Stability analysis of the particle dynamics in particle swarm optimizer. IEEE Trans Evol Comput 10(3):245–255

    Article  Google Scholar 

  • Kutty S, Sen D (2016) Beamforming for millimeter wave communications: an inclusive survey”. IEEE Commun Surv Tutorials 18(2):949–973

    Article  Google Scholar 

  • Mestoui J, El Ghzaoui M, Fattah M, Hmamou A, Foshi J (2019) Performance analysis of CE-OFDM-CPM Modulation using MIMO system over wireless channels. J Ambient Intell Hum Comput. https://doi.org/10.1007/s12652-019-01628-0

    Article  Google Scholar 

  • Mishra KV, Ram SS, Vishwakarma S, Duggal G (2019a) Doppler-resilient 802.11 ad-based ultra-short range automotive radar. Electr Eng Syst Sci. arXiv:1902.01306

  • Mishra KV, Shankar MB, Koivunen V, Ottersten B, Vorobyov SA (2019b) Toward millimeter-wave joint radar communications: a signal processing perspective. IEEE Signal Process Mag 36(5):100–114

    Article  Google Scholar 

  • Molisch AF, Ratnam VV, Han S, Li Z, Nguyen SLH, Li L, Haneda K (2017) Hybrid beamforming for massive MIMO: a survey. IEEE Commun Mag 55(9):34–141

    Article  Google Scholar 

  • Qian K, Wang WQ, Shao H (2014) Low-complexity transmit antenna selection and beamforming for large-scale MIMO communications. Int J Antennas Propag. https://doi.org/10.1155/2014/159375

    Article  Google Scholar 

  • Rusek F, Persson D, Lau BK, Larsson EG, Marzetta TL, Edfors O, Tufvesson F (2012) Scaling up MIMO: opportunities and challenges with very large arrays. IEEE Signal Process Mag 30(1):40–60

    Article  Google Scholar 

  • Sayeed A, Behdad N (2010) Continuous aperture phased MIMO: basic theory and applications. In: IEEE annual allerton conference on communication, control, and computing (Allerton), pp 1196–1203

  • Wiesel A, Eldar YC, Shamai S (2005) Linear precoding via conic optimization for fixed MIMO receivers. IEEE Trans Signal Process 54(1):61–176

    MATH  Google Scholar 

  • Xiao Y, Yin J, Qi H, Yin H, Hua G (2017) MVDR algorithm based on estimated diagonal loading for beamforming. Math Prob Eng 2017:1–7. https://doi.org/10.1155/2017/7904356

    Article  Google Scholar 

  • Yang Z, Xie L (2015) Enhancing sparsity and resolution via reweighted atomic norm minimization. IEEE Trans Signal Process 64(4):995–1006

    Article  MathSciNet  Google Scholar 

  • Zeng Y, Yang L, Zhang R (2018) Multi-user millimeter wave MIMO with full-dimensional lens antenna array. IEEE Trans Wirel Commun 17(4):2800–2814

    Article  Google Scholar 

  • Zeng Y, Zhang R (2016) Millimeter wave MIMO with lens antenna array: a new path division multiplexing paradigm. IEEE Trans Commun 64(4):1557–1571

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to P. Ramya.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

This article has been retracted. Please see the retraction notice for more detail:https://doi.org/10.1007/s12652-022-03912-y

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Ramya, P., Valarmathi, R.S. & Poongodi, C. RETRACTED ARTICLE: Antenna selection with improved group based particle swarm optimization (IGPSO) and joint adaptive beam forming for wideband millimeter wave communication. J Ambient Intell Human Comput 12, 4291–4302 (2021). https://doi.org/10.1007/s12652-020-01828-z

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12652-020-01828-z

Keywords

Navigation