An Efficient and Low-complexity Beam Training Technique for mmWave Communication

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)


An efficient and low-complexity codebook-based beam training technique is proposed for mmWave communication systems. To identify the pair of beam patterns maximizing the received signal power with a given beam resolution, the proposed technique formulates the beam training process as a combinational optimization problem. It considers all of the beam pairs as a set of feasible solutions and the received signal power as the objective function. The main idea is to implement the Nelder-Mead simplex algorithm iteratively and recursively, each time finding the best beam pair with beam patterns of increased resolution. This technique benefits from the efficiency of the Nelder-Mead algorithm whilst avoiding its drawbacks, such as sticking in a local optimum near the optimum solution. Simulation results show that, for short-range indoor communications with line-of-sight (LoS) multipath components, the proposed technique achieves the same beam selection compared to the exhaustive beam training algorithm while requiring around 28% of the search steps needed by the two-level training mechanism adopted in IEEE 802.15.3c when 32 antenna elements are adopted at both the transmitter and the receiver.
Original languageEnglish
Title of host publication2015 IEEE 26th International Symposium on Personal, Indoor and Mobile Radio Communications
Number of pages6
Publication statusAccepted/In press - Sep 2015

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