Multi-base-station multi-user proportional-fairness scheduling method with guarantee of service quality

Abstract

The invention discloses a multi-base-station multi-user proportional-fairness scheduling method with guarantee of the service quality, and mainly solves the problem that resource scheduling is unfair in the prior art due to neglect of the user service quality. The method comprises the steps that 1) parameters are set according to a practical scheduling problem; 2) the user weight is calculated according to the time averaging throughput of each user; 3) a base station determines the user to serve in the present time slot according to the user weight and the time averaging throughput; 4) after the user to serve in the present time slot is determined, the base station updates the local user throughput, and broadcasts local user throughput information to other bases stations in the network; and 5) scheduling in the roll is terminated according to a scheduling termination condition, and a scheduling result which satisfies the proportional fairness is obtained. Satisfied scheduling result can be obtained when the resources are sufficient or insufficient, the computational complexity is low, the base station scheduling efficiency in the time-varying channels is improved, and the method can be applied to large-scale wireless local area network with multiple adjacent wireless routers.

Description

technical field [0001] The invention belongs to the technical field of wireless communication, and relates to a multi-base station multi-user proportional fair scheduling method that guarantees service quality QoS, and can be applied to a large-scale wireless local area network with a plurality of adjacent wireless routers. technical background [0002] With the continuous development of mobile communication technology, the number of users is increasing year by year, and the requirements of mobile services are also increasingly diverse. In the fourth-generation mobile communication system, in addition to the traditional voice service, multi-rate multimedia service is added. Therefore, how the base station can schedule data flow resources for users with different business needs fairly and effectively has become a hot issue in current research. [0003] Most resource allocation algorithms mainly focus on the efficient use of wireless resources and seldom care about the user's ...

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Problems solved by technology

[0005] ZhangYJ, LiewSC. Proportional fairness in multi-channel multi-rate wireless networks-part II: the case of time-varying channels with application to OFDM systems. IEEE Transactions on Wireless Communications, 2008; 7(9): 3457-3467. Although this method designs a proportional fair scheduling algorithm for time-varying channel models, there are many The sources of multiple antennas, multiple subcarriers and multiple channels are all from the same base station, and the situation of multiple base stations is not considered

[0006] HuiZhou, PingyiFan, Xiang-GenXia, KhaledBenLetaief.AchievingNetworkWideProportionalFairness:APricingMethod.ProceedingsofIEEEWirelessCommunicationsandNetworkingConference,Sydney,Australia,2010, although this method provides a global proportional fair scheduling method with base station cooperation for the time-varying channel model of multiple base stations, but Does not take into account the different business needs among users

[0007] The above resource scheduling method can meet the user's needs when all users have basically the same quality of service requirements, but when the users have different quality of service requirements, the base station will allocate relatively more resources to users with lower quality of service requirements It is unfair to allocate relatively less resources to users with higher quality of service requirements than their needs, and it is difficult to meet their business needs.

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