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Exploiting user movement patterns to enhance energy efficiency in wireless networks

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Related Edinburgh Organisations

Original languageEnglish
Title of host publicationPersonal Indoor and Mobile Radio Communications (PIMRC), 2013 IEEE 24th International Symposium on
Number of pages5
Publication statusPublished - 2013

    Research areas

  • 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