Sage Journals: Discover world-class research

Abstract

Distributed beamforming is an attractive topic in wireless communication networks. This paper focuses on improving both the convergence speed and the precision level for distributed transmitting beamforming based one bit feedback scheme. A loop learning algorithm is proposed where three states are contained: random perturbation state, reinforcement learning state, optimization decision state. A loop starts with random perturbation state, and then proceeds to the next state according to the information of previous states. Each transmitter adjusts its phase by repeating the loop, so that the carrier phase alignment can be achieved at the receiver when multiple transmitters cooperatively send a common message signal. The proposed algorithm has advantages over other one bit feedback algorithms for convergence performance. The effectiveness of the algorithm are verified by the provided simulation results.

Keywords

Distributed beamforming one bit feedback loop learning random perturbation

Get full access to this article

View all access options for this article.

References

W.R.

Heinzelman,

Chandrakasan and

Balakrishnan, Energy-efficient communication protocol for wireless microsensor networks, in: Proceedings of the 33rd Annual Hawaii International Conference on System Sciences, 2000, pp. 3005–3014.

Guo,

Zhang,

Chen et al., Balanced energy using uneven transmission schemes to prolong the lifetime of WSN, in: Proceedings of the 2016 Chinese Control and Decision Conference, 2016, pp. 2410–2414.

Mudumbai,

D.R.B.

Iii,

Madhow et al., Distributed transmit beamforming: Challenges and recent progress, IEEE Communications Magazine 47(2) (2009), 102–110. doi:10.1109/MCOM.2009.4785387.

Quitin,

A.T.

Irish and

Madhow, A scalable architecture for distributed receive beamforming: Analysis and experimental demonstration, IEEE Transactions on Wireless Communications 15(3) (2016), 2039–2053. doi:10.1109/TWC.2015.2497687.

M.F.A.

Ahmed and

S.A.

Vorobyov, Collaborative beamforming for wireless sensor networks with Gaussian distributed sensor nodes, IEEE Transactions on Wireless Communications 8(2) (2009), 638–643. doi:10.1109/TWC.2009.071339.

Mudumbai,

Wild,

Madhow et al., Distributed beamforming using 1 bit feedback: From concept to realization, in: Proceedings of the 44th Allerton Conference on Communication, Control and Computation, 2006, pp. 1020–1027.

C.K.

Sung,

Ahmad,

Lechner et al., Performance analysis of distributed transmit beamforming with quantized channel feedback, in: 2019 IEEE 89th Vehicular Technology Conference, 2019, pp. 1–5.

Yang,

Ding and

Zheng et al., Variable directional perturbation with one-bit feedback for collaborative beamforming, in: Proceedings of the 2016 IEEE/CIC International Conference on Communications in China, 2016, pp. 1–5.

Xie,

Chen and

Wang, Fast one-bit feedback beamforming algorithms with stage-threshold mechanism, Wireless Personal Communications 96(3) (2017), 4451–4466. doi:10.1007/s11277-017-4396-8.

10.

Guo,

Wen and

Zhang, Improved directional perturbation algorithm for collaborative beamforming, American Journal of Networks and Communications 6(4) (2017), 62–66. doi:10.11648/j.ajnc.20170604.11.

11.

Diao,

Hedayati and

Y.E.

Wang, Experimental demonstration of distributed beamforming on two flying mini-drones, in: 2019 United States National Committee of URSI National Radio Science Meeting (USNC-URSI NRSM), IEEE, 2019, pp. 1–2.

12.

Sriploy and

Uthansakul, Nonfeedback distributed beamforming using spatial-temporal extraction, International Journal of Antennas and Propagation (2016).

13.

Yang,

Zhu,

Liu et al., A novel one-bit feedback collaborative beamforming algorithm using two time slots, in: Proceedings of the 3rd IEEE International Conference on Computer and Communications (ICCC), 2017, pp. 857–861.

14.

Abeywickrama,

T.H.C.K.

Samarasinghe et al., Wireless energy beamforming using received signal strength indicator feedback, IEEE Transactions on Signal Processing 66(1) (2018), 224–235.

15.

Jayaprakasam,

S.K.A.

Rahim and

C.Y.

Leow, Distributed and collaborative beamforming in wireless sensor networks: Classifications, trends, and research directions, IEEE Communications Surveys & Tutorials 19(4) (2017), 2092–2116. doi:10.1109/COMST.2017.2720690.

16.

Lee and

Zhang, Distributed wireless power transfer with energy feedback, IEEE Transactions on Signal Processing 65(7) (2017), 1685–1699. doi:10.1109/TSP.2016.2641400.

Loop learning algorithm for distributed beamforming based on one bit feedback

Abstract

Keywords

Get full access to this article

References