Single RF-Chain Beam Training for MU-MIMO Energy Efficiency and Information-Centric IoT Millimeter Wave Communications
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2018.2889874
Abstract: In a multi-user multiple-input multiple-output (MU-MIMO) communication system, multiple RF (radio frequency) chains are generally connected corresponding to the antenna elements. However, the system complexity, hardware cost, and energy consumption are challenging while using many… read more here.
Keywords: chain; system; single chain; training ... See more keywords
Towards Efficient Medium Access for Millimeter-Wave Networks
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Journal on Selected Areas in Communications"
DOI: 10.1109/jsac.2019.2947924
Abstract: The need of highly directional communications at mmWave frequencies introduces high overhead for beam training and alignment, which makes the medium access control (MAC) a grand challenge. To harvest the gain for high performance transmissions… read more here.
Keywords: medium access; training; towards efficient; beam ... See more keywords
Multi-Mode Spatial Signal Processor With Rainbow-Like Fast Beam Training and Wideband Communications Using True-Time-Delay Arrays
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal of Solid-State Circuits"
DOI: 10.1109/jssc.2022.3178798
Abstract: Initial access in millimeter-wave (mmW) wireless is critical toward successful realization of the fifth-generation (5G) wireless networks and beyond. Limited bandwidth in existing standards and use of phase-shifters in analog/hybrid phased-antenna arrays (PAAs) are not… read more here.
Keywords: beam training; time; time delay; delay ... See more keywords
Statistics-Assisted Beam Training for MmWave Massive MIMO Systems
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Communications Letters"
DOI: 10.1109/lcomm.2019.2922632
Abstract: Combined with massive multiple-input multiple-output technology, beamforming can effectively compensate the high path-loss of millimeter-wave signals and hence improve the received power at user equipment (UE). In order to establish the beam alignment between base… read more here.
Keywords: training mmwave; assisted beam; beam; statistics assisted ... See more keywords
Deep Learning Based Beam Training for Extremely Large-Scale Massive MIMO in Near-Field Domain
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Communications Letters"
DOI: 10.1109/lcomm.2022.3210042
Abstract: Extremely large-scale massive multiple-input-multiple-output (XL-MIMO) is regarded as a promising technology for next-generation communication systems. In order to enhance the beamforming gains, codebook-based beam training is widely adopted in XL-MIMO systems. However, in XL-MIMO systems,… read more here.
Keywords: near field; based beam; beam training; field domain ... See more keywords
Fast Near-Field Beam Training for Extremely Large-Scale Array
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Wireless Communications Letters"
DOI: 10.1109/lwc.2022.3212344
Abstract: In this letter, we study efficient near-field beam training design for the extremely large-scale array (XL-array) communication systems. Compared with the conventional far-field beam training method that searches for the best beam direction only, the… read more here.
Keywords: beam; beam training; near field; field beam ... See more keywords
Deep Learning Aided Two-Stage Multi-Finger Beam Training in Millimeter-Wave Communication
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Wireless Communications Letters"
DOI: 10.1109/lwc.2022.3215999
Abstract: Agile and reliable alignment of transceiver beams is crucial to support high transmission rate in millimeter-wave (mmWave) communications. In this letter, a deep learning aided two-stage multi-finger beam training (DL-TSMBT) algorithm is proposed for beam… read more here.
Keywords: beam; beam training; multi finger; stage multi ... See more keywords
Continuous-Time mmWave Beam Prediction With ODE-LSTM Learning Architecture
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Wireless Communications Letters"
DOI: 10.1109/lwc.2022.3221159
Abstract: In order to avoid frequent millimeter-wave (mmWave) beam training in high-speed scenarios, in this letter, we propose to exploit the neural ordinary differential equation (ODE) to predict the arbitrary-instant optimal beam between the current and… read more here.
Keywords: continuous time; mmwave beam; beam; lstm ... See more keywords
Near-Field Beam Training in THz Communications: The Merits of Uniform Circular Array
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Wireless Communications Letters"
DOI: 10.1109/lwc.2023.3234001
Abstract: As the line-of-sight propagation component is dominant in Terahertz (THz) channels, beam training is regarded as an efficient beamforming strategy for THz communications. In the Fresnel region, the near-field effect boosts the codebook size for… read more here.
Keywords: near field; beam training; field; thz ... See more keywords
Beam Training and Alignment for RIS-Assisted Millimeter-Wave Systems: State of the Art and Beyond
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Wireless Communications"
DOI: 10.1109/mwc.006.2100517
Abstract: Reconfigurable intelligent surface (RIS) has recently emerged as a promising paradigm for future cellular networks. Specifically, due to its capability in reshaping the propagation environment, RIS was introduced to address the blockage issue in millimeter-wave… read more here.
Keywords: beam training; millimeter wave; ris assisted; state art ... See more keywords
Beam Training and Tracking With Limited Sampling Sets: Exploiting Environment Priors
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Communications"
DOI: 10.1109/tcomm.2023.3239927
Abstract: Beam training and tracking (BTT) are key technologies for millimeter wave communications. However, since the effectiveness of BTT methods heavily depends on wireless environments, complexity and randomness of practical environments severely limit the application scope… read more here.
Keywords: training tracking; methodology; btt; beam training ... See more keywords