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Non-unified pricing power control based on Stackelberg game in ultra-dense network
XU Changbiao, WU Jie
Journal of Computer Applications    2018, 38 (8): 2323-2329.   DOI: 10.11772/j.issn.1001-9081.2018020321
Abstract361)      PDF (1141KB)(254)       Save
Aiming at the problem of inter-zone interference in co-frequency deployment of ultra-dense network cells, a non-uniform pricing power control scheme based on Stackelberg game was proposed. Firstly, a non-uniform pricing power control model based on Stackelberg game was established. Then the optimal price based transmission power was obtained by this model, which is a function of interference price. Secondly, the Lagrange function was introduced to solve the problem of the optimal interference price of the corresponding base station, and the controller sent the interference price to the corresponding base station, and the base station adjusted its own transmission power value to weaken the interference to the current users. The simulation results show that compared with the unified pricing power control scheme based on Stackelberg game, the proposed scheme reduces the average outage probability of the system by an average of 3 percentage points. Compared with the power control scheme based on the weight of the base station, when the number of base stations is less than 105, the proposed scheme increases the average outage probability by an average of 1.4 percentage points; when the number of base stations exceeds 105, the proposed scheme reduces the average outage probability by an average of 1.6 percentage points. In addition, compared with the two scheme mentioned above, the proposed scheme increases the average throughput of the system by 12 percentage points and 10.5 percentage points respectively, the average spectrum efficiency of the system is increased by 9 percentage points and 8.5 percentage points respectively, and the average power efficiency of the system is improved by 13 percentage points and 12 percentage points respectively. The experimental results show that the proposed solution can better improve the performance of the cellular system when more base stations are deployed.
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