A Coalition Game-Based Interference Management Method for Energy Harvesting Small Base Stations

Abstract

The invention discloses an energy harvesting small base station interference management method based on a coalition game. According to the method, a collaboration interference management problem in a small base station network is modeled into a coalition game model with a transfer utility. Firstly, time sharing strategies of small base stations in the same coalitions are determined according to an energy harvesting strategy of the small base stations, simultaneously, a utility function of the small base stations is defined, and an optimization model for maximizing capacity of a small base station system is constructed. Then, transfer criterions of the small base stations between coalitions are established, a historical set is defined, and according to the criterions, a stable coalition structure, the optimal time sharing strategy and the optimal power distribution which maximize the total system utility, are found. According to the method, convergence can be rapidly achieved; finally, one stable coalition structure can be converged to; and the maximum total system capacity is obtained. In a case that the small base stations are densely deployed, the method is obvious in performance advantage.

Description

technical field [0001] The invention relates to an energy collection small base station interference management method based on alliance game, and belongs to the technical field of communication. Background technique [0002] The two-layer cellular heterogeneous network composed of small base stations and macro base stations can not only improve the service quality in hotspot areas, but also make up for blind spots that cannot be covered by macro base stations. It has become a research hotspot in 5G. Although the introduction of small base stations can expand the coverage area of ​​the network and increase the total capacity of the system, the dense deployment of small base stations in the cellular heterogeneous network also brings some new problems and challenges, such as spectrum reuse will lead to the gap between small base stations and macro base stations. Cross-layer interference between small base stations and same-layer interference between small base stations. [00...

AI Technical Summary

Problems solved by technology

However, the existing literature on energy harvesting small base stations all considers the optimization of the individual utility of small base stations, and ignores the impact of mutual interference between small base stations on the overall performance of the system

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