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
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;
Conference_Titel :
Communications (ICC), 2014 IEEE International Conference on
Conference_Location :
Sydney, NSW
DOI :
10.1109/ICC.2014.6883657