Opportunistic beam training with hybrid analog/digital codebooks for mmWave systems

Abstract
© 2015 IEEE. Millimeter wave (mmWave) communication is one solution to provide more spectrum than available at lower carrier frequencies. To provide sufficient link budget, mmWave systems will use beamforming with large antenna arrays at both the transmitter and receiver. Training these large arrays using conventional approaches taken at lower carrier frequencies, however, results in high overhead. In this paper, we propose a beam training algorithm that efficiently designs the beamforming vectors with low training overhead. Exploiting mmWave channel reciprocity, the proposed algorithm relaxes the need for an explicit feedback channel, and opportunistically terminates the training process when a desired quality of service is achieved. To construct the training beamforming vectors, a new multi-resolution codebook is developed for hybrid analog/digital architectures. Simulation results show that the proposed algorithm achieves a comparable rate to that obtained by exhaustive search solutions while requiring lower training overhead when compared to prior work.

Citation
Eltayeb ME, Alkhateeb A, Heath RW, Al-Naffouri TY (2015) Opportunistic beam training with hybrid analog/digital codebooks for mmWave systems. 2015 IEEE Global Conference on Signal and Information Processing (GlobalSIP). Available: http://dx.doi.org/10.1109/GlobalSIP.2015.7418208.

Publisher
Institute of Electrical and Electronics Engineers (IEEE)

Journal
2015 IEEE Global Conference on Signal and Information Processing (GlobalSIP)

Conference/Event Name
IEEE Global Conference on Signal and Information Processing, GlobalSIP 2015

DOI
10.1109/GlobalSIP.2015.7418208

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