Electric energy optimization method and system

Abstract

The invention discloses an electric energy optimization method comprising that: a network side and a UE select a long dormant cycle according to a time-delay demand of an application; in order to enter the long dormant cycle, the UE sends request information to the network side or the network side sends indication information to the UE; during the dormant period of the long dormant cycle, the UE enters the long dormant cycle again or a longer dormant cycle after the end of the long dormant cycle if there is no arrival of packet service to the UE; during the dormant cycle, the UE returns to an active mode to send the packet service if there is an uplink packet service, and the UE receives the packet service after the end of the dormant cycle if there is arrival of a downlink packet service; after the end of receiving and sending of the packet service, the UE enters a short dormant cycle; and position updating of the UE can be performed during the dormant cycle. The invention discloses an electric energy optimization system. Power consumption of the UE can be reduced, and signaling interaction between the UE and the network side can be reduced so that an objective of electric energy optimization is realized.

Description

technical field [0001] The invention relates to electric energy optimization technology, in particular to an electric energy optimization method and system. Background technique [0002] Machine-to-machine (M2M, Machine to Machine) communication refers to all communication technologies and means for establishing connections between machines. The concept of M2M communication appeared in the 1990s, but it only stayed at the theoretical stage. After 2000, with the development of mobile communication technology, it became possible to realize the networking of machine equipment with mobile communication technology. M2M services appeared in the market around 2002, and developed rapidly in the following years, becoming the focus of attention of many communication equipment manufacturers and telecom operators. At present, the number of machines in the world is much larger than the number of people, so it is foreseeable that the M2M technology will have a good market prospect. [...

AI Technical Summary

Problems solved by technology

At present, smart phones are gradually popularized, and a large number of application services are running on them. These application services may increase the power consumption and shorten the battery life of smart phones. Therefore, the power saving of smart phones is also a key problem that must be solved.

[0010] During the research and practice of existing technologies, it is found that the existing technologies have the following problems: both MTC UEs and smart phones have power saving requirements, but how to optimize the energy saving of connected UEs, and how to reduce the signal between UEs and the network side Order interaction and how to achieve a compromise between energy saving and delay, etc., there is currently no relevant solution

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