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pro vyhledávání: '"Konchady Gautam Shenoy"'
Autor:
Vinod Sharma, Konchady Gautam Shenoy
Publikováno v:
Journal of the Indian Institute of Science.
Information theory deals with the efficient representation of information sources as well as providing fundamental limits to the amount of information communicated reliably over channels. These sources and channels are generally classical, i.e., repr
Autor:
Vinod Sharma, Konchady Gautam Shenoy
Publikováno v:
Problems of Information Transmission. 57:1-32
We consider additive white Gaussian noise channels and discrete memoryless channels where the transmitter harvests energy from the environment. These can model wireless sensor networks as well as Internet of Things. By providing a unifying framework
Publikováno v:
IEEE Transactions on Wireless Communications. 19:2558-2569
We consider a block fading additive white Gaussian noise (AWGN) channel with perfect channel state information (CSI) at the transmitter (CSIT) and the receiver (CSIR). For a given codeword length and non-vanishing average probability of error, we obt
Autor:
Konchady Gautam Shenoy
Publikováno v:
Computer Communications and Networks ISBN: 9783030727765
The past few years have seen major advances towards practical quantum systems. These include demonstration of quantum entanglement over a gap of over 1200 km, to significantly speeding up the solution of certain combinatorial problems. It stands to r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d87203075d7e19dd0416b3bea7ea6043
https://doi.org/10.1007/978-3-030-72777-2_19
https://doi.org/10.1007/978-3-030-72777-2_19
Publikováno v:
IEEE ANTS
Recently, there has been a significant increase in users as well as user data requirements in mobile communications. This is attributed to advances in mobile communication systems and networking, along with the advent of fifth generation (5G) mobile
Publikováno v:
WCNC Workshops
Channel quality indicator (CQI) is a key parameter in communication system design that encodes the state of the channel. With this information, a base station (BS) can adjust the quality of service that would best suit the channel at that time and pl
Publikováno v:
ANTS
Recently, deep learning for physical layer has been modeled using autoencoders to model the entire communication system end-to-end. We extend these methods to improve the overall performance by adopting various learning strategies when multiple users