Intel Corporation

Jan Schreck

Ariela Zeira

Nageen Himayat

Shilpa Talwar

Yang-Seok Choi

Hosein Nikopour

Feng Xue

Venkatesan Nallampatti Ekambaram

Nicholas William Whinnett

Shu-Ping Yeh

Thushara Hewavithana

Junyoung Nam

Sagar Dhakal

Wei Mao

According to various examples, a communication system is described comprising a receiver configured to receive, for each of a plurality of object classes, via a wireless communication channel shared among transmitters of a respective set of transmitters, a superposition of transmitted hyperdimensional code words, comprising, for each transmitter of the respective set of transmitters, a hyperdimensional code word transmitted via the wireless communication channel and encoding data of an object of the object class acquired by the transmitter, a memory configured to store, for each of the plurality of object classes, the received superposition in association with the class, a processor configured to classify a hyperdimensional code word representing an object to be classified by correlating the hyperdimensional code word with each stored superposition and to generate a classification result corresponding to the object class associated with a superposition fulfilling a predetermined criterion based on correlation results.

Communication systems and methods for transmitting and processing of data

Various embodiments herein provide techniques for reducing computational complexity in multiple input multiple output (MIMO, e.g., massive MIMO (mMIMO)) communications, such as efficient decomposition of a channel covariance matrix. Embodiments enable accurate mMIMO channel estimation with relatively low computational complexity compared with prior techniques. Additionally, embodiments may provide efficient beamforming and/or spatial compression. Other embodiments may be described and claimed.

Techniques to improve computational efficiency in massive multiple input multiple output (MIMO) systems

Systems and methods of beamforming and improving mmWave communications for drones are described. Multiple RF chains are used to adapt the main beam to track changes without the use of pilot signals. To reduce interference, interfering signal power is eliminated by optimizing a non-Gaussian measure to extract the interferers. The AoA of signals from a target drone on neighbouring drones and location of the neighbouring drones and base stations are used to independently corroborate the location reported by the target drone. The base station provides additional synchronization signals below 6 GHz and restricts the search/measurement space in the vertical direction. The inherent sparse structure above 6 GHz is exploited by applying different beamformers on a sounding signal and estimating the AoA and impulse response. Variations of fully digital and hybrid beamforming architectures for multi-cell DL sync and CRS measurement are described.

Techniques for elevated device communication

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San Jose, CA, United States of America

Jan Schreck