DocumentCode
1789076
Title
Joint optimization for resource allocation and mode selection in Device-to-Device communication underlaying cellular networks
Author
Yong Li ; Depeng Jin ; Feifei Gao ; Lieguang Zeng
Author_Institution
Dept. of Electron. Eng., Tsinghua Univ., Beijing, China
fYear
2014
fDate
10-14 June 2014
Firstpage
2245
Lastpage
2250
Abstract
With the emerging demands for extensive mobile applications, Device-to-Device (D2D) communication is viewed as an important technology for the next-generation cellular communication and mobile networks to increase spectral efficiency and enhance network capacity. Existing works usually study D2D communications under a network consisting of four nodes. In this paper, we jointly investigate the problems of optimal system resource allocation and mode selection for large scale networks. Specifically, by formulating a max-flow optimization problem that maximizes the system throughput through any possible of transmission modes with the decisions of resource allocations, we obtain the optimal system performance. Under realistic scenario driven simulations, we demonstrate the efficiency of our proposed scheme for combined mode selection and resource allocation.
Keywords
cellular radio; next generation networks; optimisation; resource allocation; cellular networks; combined mode selection; device-to-device communication; extensive mobile applications; joint optimization; large scale networks; maxflow optimization problem; mobile networks; mode selection; network capacity; next generation cellular communication; optimal system performance; optimal system resource allocation; spectral efficiency; Base stations; Data communication; Mobile communication; Mobile computing; Receivers; Relays; Resource management;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications (ICC), 2014 IEEE International Conference on
Conference_Location
Sydney, NSW
Type
conf
DOI
10.1109/ICC.2014.6883657
Filename
6883657
Link To Document