FDD Channel Estimation Via Covariance Estimation in Wideband Massive MIMO Systems
Sensors, 2020 A method for channel estimation in wideband massive Multiple-Input Multiple-Output systems using hybrid digital analog architectures is developed.
José P. González-Coma +3 more
doaj +1 more source
On weakly null FDD'S in Banach spaces [PDF]
Israel Journal of Mathematics, 1993 In this paper we show that every sequence (F_n) of finite dimensional subspaces of a real or complex Banach space with increasing dimensions can be ``refined'' to yield an F.D.D. (G_n), still having increasing dimensions, so that either every bounded sequence (x_n), with x_n in G_n for n in N, is weakly null, or every normalized sequence (x_n), with ...
Odell, E. +2 more
openaire +3 more sources
Deep Learning-Based Denoise Network for CSI Feedback in FDD Massive MIMO Systems [PDF]
IEEE Communications Letters, 2020 Channel state information (CSI) feedback is critical for frequency division duplex (FDD) massive multi-input multi-output (MIMO) systems. Most conventional algorithms are based on compressive sensing (CS) and are highly dependent on the level of channel ...
Hongyuan Ye +4 more
semanticscholar +1 more source
Deep Learning Phase Compression for MIMO CSI Feedback by Exploiting FDD Channel Reciprocity [PDF]
IEEE Wireless Communications Letters, 2021 Large scale MIMO FDD systems are often hampered by bandwidth required to feedback downlink CSI. Previous works have made notable progresses in efficient CSI encoding and recovery by taking advantage of FDD uplink/downlink reciprocity between their CSI ...
Yu-Chien Lin +3 more
semanticscholar +1 more source
Increased tau phosphorylation and tau truncation, and decreased synaptophysin levels in mutant BRI2/tau transgenic mice. [PDF]
PLoS ONE, 2013 Familial Danish dementia (FDD) is an autosomal dominant neurodegenerative disease caused by a 10-nucleotide duplication-insertion in the BRI(2) gene. FDD is clinically characterized by loss of vision, hearing impairment, cerebellar ataxia and dementia ...
Holly J Garringer +5 more
doaj +1 more source
Compressive Sampled CSI Feedback Method Based on Deep Learning for FDD Massive MIMO Systems
IEEE Transactions on Communications, 2021 Accurate downlink channel state information (CSI) is required to be fed back to the base station (BS) in frequency division duplexing (FDD) massive multiple-input multiple-output (MIMO) systems in order to achieve maximum antenna diversity and ...
Jie Wang +5 more
semanticscholar +1 more source
Deep Learning for TDD and FDD Massive MIMO: Mapping Channels in Space and Frequency [PDF]
Asilomar Conference on Signals, Systems and Computers, 2019 Can we map the channels at one set of antennas and one frequency band to the channels at another set of antennas— possibly at a different location and a different frequency bandƒ If this channel-to-channel mapping is possible, we can expect dramatic ...
Muhammad Alrabeiah, Ahmed Alkhateeb
semanticscholar +1 more source
Antimutagenic, Cytoprotective and Antioxidant Properties of Ficus deltoidea Aqueous Extract In Vitro
Molecules, 2021 Ficus deltoidea var. deltoidea is used as traditional medicine for diabetes, inflammation, and nociception. However, the antimutagenic potential and cytoprotective effects of this plant remain unknown.
Theng Choon Ooi +7 more
doaj +1 more source
Efficient Angle-Domain Processing for FDD-Based Cell-Free Massive MIMO Systems [PDF]
IEEE Transactions on Communications, 2020 Cell-free massive MIMO communications is an emerging network technology for 5G wireless communications wherein distributed multi-antenna access points (APs) serve many users simultaneously.
Asmaa R. Abdallah, Mohammad M. Mansour
semanticscholar +1 more source