Exploiting user movement patterns to enhance energy efficiency in wireless networks

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English
Title of host publication	Personal Indoor and Mobile Radio Communications (PIMRC), 2013 IEEE 24th International Symposium on
Pages	2596-2600
Number of pages	5
DOIs	https://doi.org/10.1109/PIMRC.2013.6666585
Publication status	Published - 2013

cellular radio, decision making, energy conservation, mobility management (mobile radio), radio networks, BS behavior, EESC, average loading curve, base station, data rate, energy consumption reduction, energy efficiency enhancement, energy efficient power state control algorithm, energy savings, user mobility model, user movement patterns, wireless cellular network, Benchmark testing, Electrocardiography, Energy consumption, Hardware, Load modeling, Mathematical model, Radio frequency

ID: 11986926