Multi-stream beam-training for mmWave MIMO networks

Yasaman Ghasempour, Muhammad K. Haider, Carlos Cordeiro, Dimitrios Koutsonikolas, Edward W. Knightly

Research output: Chapter in Book/Report/Conference proceedingConference contribution

44 Scopus citations


Multi-stream 60 GHz communication has the potential to achieve data rates up to 100 Gbps via multiplexing multiple data streams. Unfortunately, establishing multi-stream directional links can be a high overhead procedure as the search space increases with the number of spatial streams and the product of AP-client beam resolution. In this paper, we present MUlti-stream beam-Training for mm-wavE networks (MUTE) a novel system that leverages channel sparsity, GHz-scale sampling rate, and the knowledge of mm-Wave RF codebook beam patterns to construct a set of candidate beams for multi-stream beam steering. In 60 GHz WLANs, the AP establishes and maintains a directional link with every client through periodic beam training. MUTE repurposes these beam acquisition sweeps to estimate the Power Delay Profile (PDP) of each beam with zero additional overhead. Coupling PDP estimates with beam pattern knowledge, MUTE selects a set of candidate beams that capture diverse or ideally orthogonal paths to obtain maximum stream separability. Our experiments demonstrate that MUTE achieves 90% of the maximum achievable aggregate rate while incurring only 0.04% of exhaustive search's training overhead.

Original languageEnglish (US)
Title of host publicationMobiCom 2018 - Proceedings of the 24th Annual International Conference on Mobile Computing and Networking
PublisherAssociation for Computing Machinery
Number of pages15
ISBN (Electronic)9781450359030
StatePublished - Oct 15 2018
Externally publishedYes
Event24th Annual International Conference on Mobile Computing and Networking, MobiCom 2018 - New Delhi, India
Duration: Oct 29 2018Nov 2 2018

Publication series

NameProceedings of the Annual International Conference on Mobile Computing and Networking, MOBICOM


Other24th Annual International Conference on Mobile Computing and Networking, MobiCom 2018
CityNew Delhi

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Hardware and Architecture
  • Software


  • Beam Training
  • IEEE 802.11ay
  • MIMO
  • mmWave


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