mmMAGIC 5G PPP project @PIMRC 2016, Valencia

 In News, Press releases

5G PPP mmMAGIC is showcasing 5G mm-wave hardware demos, phased-array antennas, channel model and visualization software at @ PIMRC 2016, Valencia

mmMAGIC  had a record attendance of 60+ in its booth from across the world,  as well as very high visibility at IEEE PIMRC with two excellent 5G panels with mmMAGIC speakers (50+ attendance each).

The mmMAGIC paper “Speeding up mmWAve Beam Training through Low Complexity Hybrid Transceivers” from IMDEA networks Institute has won PIMRC 16  Best Student Paper Award and several other papers plus another panel from the project were presented at this year IEEE PIMRC.

Paper abstract (full version available here): Millimeter wave (mmWave) wireless technologies are expected to become key enablers of multi-gigabit wireless access in next-generation cellular and local area networks. Due to unfavorable radio propagation, mmWave systems will exploit large-scale MIMO and adaptive antenna arrays at both the transmitter and receiver to realize sufficient link margin. Unfortunately, power and cost requirements in mmWave radio frontends make the use of fully-digital beamforming very challenging. In this paper, we focus on hybrid analog-digital beamforming and address two relevant aspects of the initial access procedure at mmWave frequencies. First, we propose a beam training protocol which effectively accelerates the link establishment by exploiting the ability of mobile users to simultaneously receive from multiple directions. Second, we deal with practical constraints of mmWave transceivers and propose a novel, geometric approach to synthesize multi-beamwidth beam patterns that can be leveraged for simultaneous multi-direction scanning. Simulation results show that the proposed hybrid codebooks are able to shape beam patterns very close to those attained by a fully-digital beamforming architecture, yet require lower complexity hardware compared with the state of the art. Furthermore, the reduced duration of the beam training phase, in turn enabled by the multi-beam characteristics of our hybrid codebooks, provides a 25% to 70% increase in spectral efficiency compared to existing sequential scanning strategies.

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