Multi-base-station system proportion fair scheduling method under user QoS fixed rate constraint

Abstract

The invention belongs to the technical field of wireless communication, and discloses a multi-base-station system proportion fair scheduling method based on the fixed rate constraint and guaranteeing the user QoS. The method comprises the steps that a random population is randomly generated and binary coding is performed on the individuals in the population; the weight of the user is calculated; the individual probability of large fitness in the population is selected according to a roulette mode; intersection and mutation operation is performed on the selected individuals; and the probability of serving each user of multiple base stations is selected according to the iteration termination condition. Different optimization goals are realized under the two conditions of resource sufficiency and insufficiency: when the distributable resources are sufficient, the service deletion rate of the users is zero, and the user weight obtained by the service deletion rate is 1 so that the maximum system throughput can be achieved under the premise of guaranteeing the service quality requirements of the users; and when the distributable resources are insufficient, the service deletion rate of the users has nonzero values, and the user weight obtained by the service deletion rate has the values greater than 1 so that the users are ensured to obtain the fair service.

Description

technical field [0001] The invention belongs to the technical field of wireless communication, and in particular relates to a proportional fair scheduling method in a multi-base station system based on a fixed rate constraint that guarantees user QoS. Background technique [0002] 802.11ac, as the standard of the new generation of wireless local area network, proposes Multi-Users Multiple-Input Multiple-Output (MU-MIMO) technology, which is based on the conventional Multiple-Input Multiple-Output (Multiple-Input Multiple-Output, Based on MIMO) technology, a multi-user simultaneous communication mechanism is added, which effectively improves the utilization of network resources. Currently, the research on MU-MIMO mainly focuses on the resource allocation of a single base station to multiple users, and does not consider the QoS requirements of users. Only the pursuit of efficient use of wireless resources will cause unfairness among users. In addition, because the rate at whi...

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Problems solved by technology

[0003] To sum up, the problems existing in the prior art are: only the problem of resource allocation to ensure user QoS in a single base station system, or the problem of resource allocation in a multi-base station system is studied, without considering the actual demand rate of users, Aiming at the above shortcomings, this paper proposes a proportional fair allocation algorithm in a multi-base station system based on fixed rate constraints to ensure user QoS

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