Multi-objective optimization time slot allocation method based on concurrent set, and wireless network control system

Abstract

The invention belongs to the technical field of wireless communication networks, and discloses a multi-objective optimization time slot allocation method based on a concurrent set, and a wireless network control system. The multi-objective optimization time slot allocation method based on the concurrent set comprises the following steps: dividing nodes in a network into multiple concurrent sets based on the topology information of the nodes in a wireless network; executing, by a node for decision making, an algorithm according to the collected network topology information, dividing all nodes in the network to different concurrent sets, wherein the nodes in each concurrent set can multiplex channel resources to achieve concurrent transmission; and establishing multi-objective optimization mathematical model. By adoption of the multi-objective optimization time slot allocation method provided by the invention, in some occasions, the application scene of the resource allocation technologyneeds to take into account multi-party performance, and even the resource allocation strategy is required to have the ability of focusing on a certain target based on the real-time information to make allocation decision making according to dynamic demands. By adoption of the multi-objective optimization time slot allocation method provided by the invention, a plurality of performance indicatorsare mathematically abstracted, and the optimal solution is searched by establishing the multi-objective optimization mathematical model.

Description

technical field [0001] The invention belongs to the technical field of wireless communication networks, and in particular relates to a concurrent set-based multi-objective optimization time slot allocation method and a wireless network control system. Background technique [0002] At present, the existing technologies commonly used in the industry are as follows: Medium access control and networking in dynamic wireless networks is a widely concerned problem, and non-uniformity makes this problem even more challenging. Non-uniformity in dynamic wireless networks, unless it can be controlled, non-uniformity is more likely to appear in applications than uniformity. The research on technologies related to dynamic non-uniform wireless networks is both forward-looking and practical. Nowadays, wireless transmission technology has penetrated into all aspects of social life more and more widely. With the enrichment and diversification of user business needs, how to allocate resourc...

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Problems solved by technology

[0004] (1) The goal achieved by the existing technology is a single high channel utilization rate, or good fairness, etc., but they have not been considered comprehensively; time slot resource allocation based on concurrent sets can achieve good throughput performance, while The existing technology ignores the advantages of the concept of concurrent sets in resource scheduling strategies, fails to consider the role of concurrent sets in practical applications, based on these two goals, and proposes appropriate solutions based on network characteristics and forms In some cases, the application scenarios of resource allocation technology need to take into account the performance of multiple parties, and even require resource allocation strategies to focus on a certain goal based on real-time information based on dynamic needs and then make allocations decision making ability

[0005] (2) Existing technologies have obvious shortcomings under such more comprehensive and flexible requirements. In practical application scenarios, on the one hand, each node needs sufficient transmission resources to send data, and it is not expected to cause resource shortages. And data loss and other phenomena; on the other hand, the amount of resources allocated by different nodes also needs a certain balance, so as not to cause some nodes to be saturated with resources due to oversupply, and other nodes to starve to death due to lack of transmission resources

However, the existing technologies rarely make comprehensive resource allocation decisions based on the requirements of the two aspects; at this time, it is necessary to abstract multiple performance indicators and establish a mathematical model for multi-objective optimization

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