Micro base station energy saving method based on macro base station collaboration and business filtering

Abstract

The invention relates to a micro base station energy saving method based on macro base station collaboration and business filtering. According to the method, type distinction is carried out on arrival business at first, and a macro base station collaborates with a micro base station. The micro base station enters a dormant window with certain duration when processing no business. Meanwhile, in the dormant window, the arrival small-volume business is processed by the macro base station via collaboration. When a close window terminates, the micro base station judges whether to enter a next close window. If a large amount of business in the service area of the micro base station is queuing in the cell macro base station or a large amount of business is queuing in the micro base station is found at a decision moment, the micro base station is opened, and the large-volume business within the range of the micro cell is processed by the micro base station. The small-volume business originally queuing in the macro base station is still processed by the macro base station. If no large-volume business in the service area of the micro base station is queuing in the micro base station, or a small amount of small-volume business arriving at the macro base station is found at the decision moment, the micro base station enters the next close window.

Description

technical field [0001] The invention belongs to the technical field of mobile communication, and relates to a micro base station energy saving method based on macro base station cooperation and service filtering. Background technique [0002] Wireless communication systems have developed rapidly in the past ten years. Due to the popularity of smart devices, data traffic is growing rapidly. In the future, the equipment connected to the communication network will increase exponentially, and the demand for the deployment of communication equipment will also be very large. Then it will eventually cause a huge demand for power consumption. In order to solve this problem, many scholars put forward the concept of "green communication". It reduces energy consumption in the network and improves network energy efficiency by studying various energy-saving strategies. [0003] In a communication network, most of the energy consumption is at the base station side, and more than 50% o...

AI Technical Summary

Problems solved by technology

[0006] In some current energy-saving mechanisms, since the number of services can only be integers, the optimal accumulation threshold may be discontinuous, and the best energy-saving effect cannot be achieved.

At the same time, the service that arrives first has a large delay, which has a great impact on system performance.

When there is no base station cooperation, it is easy to cause the service delay to be too long and affect the user experience, and there is no way to use different control parameters for different service situations to further improve the energy saving performance and delay performance of the system

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