National Natural Science Foundation of China (No.61371091, No.61301228);Research Fund for the Doctoral Program of Higher Education of China (No.20132125110006);Fundamental Research Funds for the Central Universities;Excellent Technology Innovation Group Training Project of Dalian Maritime University (No.3132013334)
JIA Ya-nan, YUE Dian-wu. Dynamic Resource Allocation Algorithm Based on Game Theory in Cognitive Small Cell Networks[J]. Acta Electronica Sinica, 2015, 43(10): 1911-1917.
DOI:
JIA Ya-nan, YUE Dian-wu. Dynamic Resource Allocation Algorithm Based on Game Theory in Cognitive Small Cell Networks[J]. Acta Electronica Sinica, 2015, 43(10): 1911-1917. DOI: 10.3969/j.issn.0372-2112.2015.10.005.
Dynamic Resource Allocation Algorithm Based on Game Theory in Cognitive Small Cell Networks
In order to improve the capacity of the cognitive small cell network (CSCN)
this paper analyzed the dynamic allocation of the spectrum
small cell base stations (SBS) and transmission power in the uplink based on the game theory.The traditional allocation scheme only considered the optimal allocation among independent frequency bands in heterogeneous networks
without taking into account the mutually overlapped frequency bands and the joint resource allocation in the uplink.For this reason
the joint optimal allocation etiquette is proposed.The interference temperature constraints
the new interference operator and the memory factor were introduced in the new uplink water-filling algorithm.Based on the characteristic of dynamic selection and the interference avoidance rule of interference temperature.Simulation results show that our algorithm can effectively improve the throughput and robustness of the CSCN.