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Research of WCDMA Handset Power Consumption Mechanism and Prediction Model Based on Nerual Network

Author: LangYing
Tutor: HeWei
School: Beijing Technology and Business University
Course: Detection Technology and Automation
Keywords: WCDMA handsets Power Management Agilent8960 Neural Network
CLC: TN929.53
Type: Master's thesis
Year: 2010
Downloads: 70
Quote: 1
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Abstract


WCDMA ( also known as 3G) mobile phone as a replacement product began to pour into the mobile communications market . Because of its multi-modal communication function and more advanced features of Internet service , WCDMA handsets in average power consumption has increased significantly over the previous generation . Performance of WCDMA mobile phone battery energy consumed quickly , standby time is shorter , which became a bottleneck in the promotion and application of WCDMA handsets . Although battery technology is constantly strive to improve the battery capacity year by year increase , but far less than the growth of mobile phones and other mobile devices on the power demand . Phone equipment manufacturers trying energy-saving technology from the hardware point of view , the part of the circuit does not work in a timely manner transferred to the Deep Sleep low-power state , to be necessary to be a wake - up at any time , but the use of WCDMA handsets determine the characteristics of this sleep wake of exchange frequency is relatively high , the wake - up required during consumption of the power circuit sleep during the energy savings are almost equal , so this way the limited role of the mobile phone power - saving . Therefore the WCDMA handsets saving technical direction to the transfer of power management software . This article aims to four standby , call , audio , video and other applications through testing and research WCDMA handset power consumption data to explore the mechanism of WCDMA mobile phone power consumption , and on this basis to try to establish its power consumption prediction model for WCDMA the phone's power management software development and open up new tracks . This selection of Volkswagen chip Marvell's WCDMA handsets for the study sample , the power consumption factors in the analysis of WCDMA handsets in various application areas according to their power consumption factor orthogonal experimental table , the actual constructed Agilent8960 of WCDMA test platform , an orderly change the phone the respective power consumption of influencing factors, repeatedly collected from a large number of experimental data . Based on Matlab neural network analysis and processing of these data , to build a WCDMA handset power consumption prediction model , proven experiments show that this prediction model can be integrated response WCDMA handset power consumption mechanism and the basic law . Phone targeted energy-saving program and in accordance with this prediction model can achieve the WCDMA handsets saving more than 15% , to lay a new foundation for the WCDMA mobile phone power management software modules in terms of energy-saving tap the potential .

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CLC: > Industrial Technology > Radio electronics, telecommunications technology > Wireless communications > Mobile Communications > Cellular mobile communications systems (mobile phones, mobile phone handsets )
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