Load balancing method based on QoS sensing in heterogeneous network

Abstract

The invention discloses a load balancing method based on QoS sensing in a heterogeneous network. Load balancing in the heterogeneous network is achieved through the method. At first, loads of all base stations and reachable rates of users are imported into an optimization problem, and a corresponding optimized objective function is set, and modeled into a weighting utility maximization problem of the whole network; secondarily, a distributed method is adopted for solving. At a base station side, each base station needs to update the optimal load and a Lagrangian multiplier, and then broadcasts information to the users; at a user side, each user obtains the optimal base station serial number according to the received broadcast information and is connected with the base station serial number. Compared with an access method based on the users, the method is low in calculation complexity, easy to realize and higher in convergence rate, reduces the calling blocking rate, and obtains a higher load balancing level.

Description

technical field [0001] The invention belongs to the technical field of wireless communication, and in particular relates to a load balancing method based on Quality of Service (Quality of Service, QoS) perception in a heterogeneous network. Background technique [0002] In order to meet the explosive growth of data service requirements of different wireless terminal devices (especially devices with high media requirements), heterogeneous cellular communication networks have become one of the main trends in the development of 5G wireless communication systems in the future. Heterogeneous cellular communication networks mainly include micro cells (home base stations), pico base stations, femto base stations, and relay base stations. The main differences between them are transmission power, size, backhaul, cost, and ease of deployment and propagation. characteristic. [0003] Traditional access strategies that only depend on the user's received signal strength, such as maximum...

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Problems solved by technology

Although this method is simple and effective, it is difficult to obtain the optimal offset or bias factor

In addition, the distributed user access algorithm that balances the load defined by the number of users accessed between different base stations cannot achieve true load balancing because it does not consider the actual resource needs of users and the constraints of limited resources

The load balancing algorithm based on the definition of the second category can balance the load of heterogeneous networks (HetNets) to a certain extent, but in a cellular network with a large number of base stations, its computational complexity is very high

So far, there are relatively few studies on strategies based on the first type of load in heterogeneous networks

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