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A distributed base station clustering method based on hedonic game

A distributed base station and base station technology, which is applied in the field of distributed base station clustering based on hedonic game, can solve the problems of poor stability and large influence of search order, and achieve the effect of reducing complexity

Active Publication Date: 2019-12-10
白盒子(上海)微电子科技有限公司
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AI Technical Summary

Problems solved by technology

[0004] At present, there are many algorithms for base station clustering. The commonly used method is to fill geographically similar base stations into fixed-size clusters. This method is greatly affected by the search order and has poor stability.

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  • A distributed base station clustering method based on hedonic game
  • A distributed base station clustering method based on hedonic game
  • A distributed base station clustering method based on hedonic game

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Embodiment Construction

[0026] The technical solution of the present invention will be further introduced below in combination with specific implementation methods and accompanying drawings.

[0027] This specific implementation is described in conjunction with base station clustering under interference alignment. Interference alignment (IA) is a wireless transmission strategy for interference coordination proposed in recent years. When the cluster size meets the feasibility of IA, it can perfectly to eliminate interference. Assume that 16 base stations are randomly distributed in a 2km×2km square area, and users are randomly distributed on a ring 150m away from the corresponding base station. Each base station is equipped with M=3 transmitting antennas, the receiving end is equipped with N=2 receiving antennas, and the path loss ρ=15.3+37.6log 10 (distance[m]), small-scale fading obeys Rayleigh distribution. The noise power spectral density is -174dbm / hz. Assume that the transmit power of all tra...

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Abstract

The invention discloses a distributed base station clustering method based on the hedonic game. Base stations are clustered using the game theory. From the perspective of the game theory, the process in which base stations form a stable cluster by dynamically adjusting the cluster structure thereof is a game. In a hedonic game model, base stations are rational game players. An appropriate preference function is defined. Base stations make decisions in line with their own interests by calculating the preference value. Finally, individual equilibrium is achieved, and a stable cluster is obtained. Compared with a heuristic method, the method has a great advantage in performance. Compared with a clustering method based on the ergodic thought, the method is much less complex under the premise of little difference in performance.

Description

technical field [0001] The invention relates to the field of wireless communication, in particular to a distributed base station clustering method based on hedonic game. Background technique [0002] With the development of wireless communication technology and the advent of the information age, people's demand for communication and network is increasing day by day. In a wireless communication network, interference handling technology directly affects the performance of the system. When precoding technology is used to deal with the interference of the entire network, each node needs to know the global channel state information (CSI) to carry out transmission and reception precoding design, but obtaining the global CSI will cause a lot of signaling overhead, when When the number of users is too large, the time-frequency resources occupied by them will even offset the performance gain obtained through precoding. [0003] In the case of limited transmission signal-to-noise ra...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04W16/18
CPCH04W16/18
Inventor 朱鹏程李佳珉赵凡尤肖虎
Owner 白盒子(上海)微电子科技有限公司
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