Efficient Beam‐Training Technique for Millimeter‐Wave Cellular Communications

In this paper, a beam ID preamble (BIDP) technique, where the beam ID is transmitted in the physical layer, is proposed for efficient beam training in millimeter-wave (mmWave) cellular communication systems. In order to facilitate beam ID detection in a multicell environment with multiple beams, the BIDP is designed such that the beam ID is mapped onto a Zadoff–Chu sequence in association with its cell ID. By analyzing the correlation property of the BIDP, it is shown that multiple beams can be transmitted simultaneously with the proposed technique with minimal interbeam interference in a multicell environment, where beams have different time delays due to propagation delay or multipath channel delay. Through simulation with the spatial channel model (SCM), it is shown that the best beam pairs can be found with a significantly reduced processing time of beam training in the proposed technique.

[1]  K. Williams,et al.  Gauss and Jacobi sums , 2021, Mathematical Surveys and Monographs.

[2]  Cyril Leung,et al.  Efficient computation of DFT of Zadoff-Chu sequences , 2009 .

[3]  Stefania Sesia,et al.  LTE - The UMTS Long Term Evolution, Second Edition , 2011 .

[4]  Moe Z. Win,et al.  Neighboring Cell Search for LTE Systems , 2012, IEEE Transactions on Wireless Communications.

[5]  Theodore S. Rappaport,et al.  Broadband Millimeter-Wave Propagation Measurements and Models Using Adaptive-Beam Antennas for Outdoor Urban Cellular Communications , 2013, IEEE Transactions on Antennas and Propagation.

[6]  I. Sarris,et al.  Ricean K-factor measurements in a Home and an Office Environment in the 60 GHz Band , 2007, 2007 16th IST Mobile and Wireless Communications Summit.

[7]  Theodore S. Rappaport,et al.  Millimeter-Wave Cellular Wireless Networks: Potentials and Challenges , 2014, Proceedings of the IEEE.

[8]  Frederick W. Vook,et al.  Moving Towards Mmwave-Based Beyond-4G (B-4G) Technology , 2013, 2013 IEEE 77th Vehicular Technology Conference (VTC Spring).

[9]  Theodore S. Rappaport,et al.  Millimeter Wave Channel Modeling and Cellular Capacity Evaluation , 2013, IEEE Journal on Selected Areas in Communications.

[10]  Z. Muhi-Eldeen,et al.  Modelling and measurements of millimetre wavelength propagation in urban environments , 2010 .

[11]  Meilong Jiang,et al.  3D channel model extensions and characteristics study for future wireless systems , 2013, 2013 IEEE 24th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC).

[12]  Yong Soo Cho,et al.  2-D DoA Estimation with Cell Searching for a Mobile Relay Station with Uniform Circular Array , 2010, IEEE Transactions on Communications.

[13]  Theodore S. Rappaport,et al.  Millimeter Wave Mobile Communications for 5G Cellular: It Will Work! , 2013, IEEE Access.

[14]  Zhouyue Pi,et al.  An introduction to millimeter-wave mobile broadband systems , 2011, IEEE Communications Magazine.

[15]  Arumugam Nallanathan,et al.  Efficient Beamforming Training for 60-GHz Millimeter-Wave Communications: A Novel Numerical Optimization Framework , 2014, IEEE Transactions on Vehicular Technology.

[16]  Bin Li,et al.  On the Efficient Beam-Forming Training for 60GHz Wireless Personal Area Networks , 2013, IEEE Trans. Wirel. Commun..

[17]  Rose Qingyang Hu,et al.  Anchor-booster based heterogeneous networks with mmWave capable booster cells , 2013, 2013 IEEE Globecom Workshops (GC Wkshps).