Title
Game-Theoretic Hierarchical Resource Allocation In Ultra-Dense Networks
Abstract
Ultra-dense networks (UDN) can increase the network coverage and improve the overall throughput which make it a promising network technology. However, traditional resource allocation algorithms are concerned with the improvement of the overall performance of the network. This paper considers the quality of service (QoS) and energy consumption of each femtocell and proposes a game-theoretic hierarchical resource allocation algorithm in UDN. Firstly, a modified clustering algorithm is performed. Then we transform this resource allocation problem to a two-stage Stackelberg game. In sub-channel resource allocation, we aim to maximize the throughput of the whole system by cluster heads (CHs). The power allocation takes account of the balance between QoS requirement and transmit power consumption. Simulation results show that the proposed algorithm can obtain a performance improvement compared with other algorithms.
Year
Venue
Keywords
2016
2016 IEEE 27TH ANNUAL INTERNATIONAL SYMPOSIUM ON PERSONAL, INDOOR, AND MOBILE RADIO COMMUNICATIONS (PIMRC)
UDN, femtocells, clustering, sub-channel and power allocation, Stackelberg game
Field
DocType
Citations 
Femtocell,Computer science,Computer network,Quality of service,Resource allocation,Throughput,Stackelberg competition,Cluster analysis,Energy consumption,Performance improvement
Conference
0
PageRank 
References 
Authors
0.34
0
5
Name
Order
Citations
PageRank
Yuanfei Liu121.71
Ying Wang2315.65
Yuan Zhang3163.80
Ruijin Sun4278.37
Lisi Jiang5151.55