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Method for improving performance of cell edge users by using multi-objective genetic algorithm

A multi-objective genetic, cell edge technology, applied in the field of improving cell edge user performance, can solve the problem that it is difficult for resource scheduling algorithms to consider frequency domain, time domain, air domain and power fairness at the same time, poor interference suppression effect, random cell interference It solves the problem of high complexity, and achieves the effect of improving the throughput of the cell edge, reducing the number, and reducing the probability of inter-cell interference.

Active Publication Date: 2014-12-10
XIAMEN UNIV +1
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Problems solved by technology

However, Chinese patent CN101420760 discloses a method and device for edge user scheduling, pointing out that cell interference randomization and interference cancellation technology are highly complex, and the interference suppression effect is poor.
Chinese patent CN 102036397A discloses a resource scheduling method and device for a TD-LTE system, but it is difficult for the resource scheduling algorithm to simultaneously consider the frequency domain, time domain, air domain and power and take into account the fairness of users

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  • Method for improving performance of cell edge users by using multi-objective genetic algorithm
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  • Method for improving performance of cell edge users by using multi-objective genetic algorithm

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Embodiment Construction

[0044] Embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0045] The present invention adopts the radio remote unit (the English full name of the radio frequency remote unit is Radio Remote Unit, abbreviated as RRU) + baseband processing unit (the English full name of the baseband processing unit is Base Band Unit, abbreviated as BBU) to carry out networking, such as figure 1 shown. exist figure 1 Among them, MME (Mobility Management Entity) is the key control node of 3GPP protocol LTE access network. It is responsible for the positioning of UE in idle mode, paging process, including relay, and S-GW (Serving GateWay) is the connection NO.7 signaling Network and IP network equipment, S1 is a logical interface defined by 3GPP, the third-generation mobile communication technology specification organization, eNodeB is an enhanced base station, one BBU corresponds to one logical cell, and multiple RRUs cover one ...

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Abstract

The invention discloses a method for improving the performance of cell edge users by using a multi-objective genetic algorithm, and relates to the field of communication. The method for improving the performance of the cell edge users by using the multi-objective genetic algorithm can reduce the number of edge users to the greatest extent and greatly improve the service quality and the satisfaction degree of the users. The method comprises the following steps: enabling a base station to judge whether a user is a cell edge user or not according to measurement reports of the user; enabling the base station to determine the geographical positions of the edge users in coverage; enabling the base station to determine the base station which is in the vicinity of a cell edge user set according to the geographical positions of the edge users and the geographical position of the base station; enabling the base station to exchange information with the neighboring base station through X2; and enabling the base station to generate a coverage adjusting strategy through the multi-objective genetic algorithm according to the obtained information, and adjusting the activation and the closing of an RRU (radio remote unit), the transmission power and the declination angle and the azimuth angle of an antenna to change the coverage, thereby ensuring that users in the inter-cell overlapping region are as few as possible.

Description

technical field [0001] The invention relates to the communication field, in particular to a method for improving user performance at the edge of a cell by using a multi-objective genetic algorithm. Background technique [0002] In the Long Term Evolution (Long Term Evolution, abbreviated as LTE) system, the system performance at the cell edge is especially emphasized, because the system performance at the cell edge determines whether it can bring stable and reliable service experience to users. Since the uplink of the LTE system adopts single carrier frequency division multiple access (Single carrier frequency division multiple access in English is called Single Carrier-Frequency Division Multiple Access, abbreviated as SC-FDMA), the downlink adopts orthogonal frequency division multiple access ( Orthogonal Frequency Division Multiple Access (Orthogonal Frequency Division Multiple Access, abbreviated as OFDMA) multiple access method, its spectrum utilization rate is close to...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04W16/24
Inventor 黄联芬蔡鸿祥高志斌张远见
Owner XIAMEN UNIV
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