mobicom11-peng-greenbs-final-資料下載頁(yè)
2025-01-13 12:28本頁(yè)面
【正文】 cover the m. area of OFF BSes? ? How to migrate clients from OFF BSes to ON BSes? ? How to share information in a virtual grid? UCLA WiNG Roadmap ? Characterizing multidimensional dynamics ? Exploiting dynamics in design ? Working with 3G standards ? Evaluation Mobi 2023 24 C Peng (UCLA) UCLA WiNG Energy Saving in Four Regions Region 1 Region 2 Region 3 Region 4 Eold (K. kwh) Eour () E Gain (%) % % % % missRatio BS(weekday) 34~97 8~32 79~122 104~142 Mobi 2023 C Peng (UCLA) 25 %%%%%%%%% Energy saving gain Region 1Region 2Region 3Region 4allsaving minweekday maxday minend maxend Spatial Dynamics Temporal Dynamics Multiplexing gain is a major contributor. ? Use twomonth real traces in four regional 3G works UCLA WiNG More on Evaluation ? Our solution is robust to various parameter settings ? Power models, capacity, coverage, profiling factor, ? ? Negative impact on clients: More energy for uplink ? Tx range ?due to ON/OFF scheme ? Example in Region 1 ? Negligible at daytime ? 1km at night ? Can be less aggressive Range changes in Region 1 60% ON 20% ON Mobi 2023 26 C Peng (UCLA) UCLA WiNG Summary ? The current cellular work is not energy efficient ? It is feasible to build a practical solution to “green cellular infrastructure” ? Especially in the big cities with dense BS deployment ? Especially at late evenings to early dawn with light traffic ? Build an approximate EP system using nonEP ponents ? Exploiting inherent dynamics in time and space Mobi 2023 27 C Peng (UCLA) THANK YOU Questions? Mobi 2023 C Peng (UCLA) 28 UCLA WiNG Recall the Case Study Ideal Current GreenBS Mobi 2023 29 C Peng (UCLA) Powerload curve in a big city with 177 BSes (3G UMTS) UCLA WiNG 演講完畢，謝謝觀看！
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