Non-Asymptotic Achievable Rates for Gaussian Energy-Harvesting Channels: Save-and-Transmit and Best-Effort
DOI10.1109/TIT.2019.2927006zbMath1433.94065OpenAlexW2954032997WikidataQ127587069 ScholiaQ127587069MaRDI QIDQ5211501
Jing Yang, Silas L. Fong, Aylin Yener
Publication date: 28 January 2020
Published in: IEEE Transactions on Information Theory (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1109/tit.2019.2927006
Applications of Markov chains and discrete-time Markov processes on general state spaces (social mobility, learning theory, industrial processes, etc.) (60J20) Convergence of probability measures (60B10) Channel models (including quantum) in information and communication theory (94A40)
This page was built for publication: Non-Asymptotic Achievable Rates for Gaussian Energy-Harvesting Channels: Save-and-Transmit and Best-Effort
