Electrical - Electronic Engineering / Elektrik - Elektronik Mühendisliği
Permanent URI for this collectionhttps://hdl.handle.net/11147/11
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Conference Object Citation - WoS: 2Citation - Scopus: 2Joint Routing and Resource Allocation for Software Defined Mobile Networks(Institute of Electrical and Electronics Engineers Inc., 2019) Özbek, Berna; Aydoğmuş, Yiğitcan; Ulaş, Aydın; Görkemli, BurakThe need for software defined mobile networking (SDMN) increases to manage the complexity in communication networks for the fifth generation mobile networks and beyond, with increasing diverse demand on data traffic in wireless environments. The separation of the data and control planes offers flexibility in future networks with SDMN by taking into account to the wireless access problem in complex radio environments. In this paper, we propose an efficient joint routing and resource allocation algorithm to minimize the cost based on power consumption while satisfying both throughput and delay requirement of the flows under a given capacity of links in night time traffic through SDMN. The power consumption is determined based on the number of active OpenFlow switches and active ports in the network. In the proposed joint algorithm, we put the selected network components to sleep mode in order to reduce overall network power consumption. The performances of the proposed algorithm are illustrated under different throughput constraints in various network topologies and scenarios in night-time traffic. © 2019 IEEE.Conference Object Citation - WoS: 2Citation - Scopus: 19New Concepts for Traffic, Resource and Mobility Management in Software-Defined Mobile Networks(Institute of Electrical and Electronics Engineers Inc., 2016) Ahmad, Ijaz; Liyanage, Madhusanka; Namal, Suneth; Ylianttila, Mika; Gurtov, Andrei; Faigl, Zoltan; Bokor, Laszlo; Perez, Oscar Lopez; Itzazelaia, Mikel Uriarte; Eckert, Marcus; Bauschert, Thomas; Saygun, Ece; Akyıldız, Hasan Anıl; Özbek, Berna; Ulaş, AydınThe evolution of mobile telecommunication networks is accompanied by new demands for the performance, portability, elasticity, and energy efficiency of network functions. Network Function Virtualization (NFV), Software Defined Networking (SDN), and cloud service technologies are claimed to be able to provide most of the capabilities. However, great leap forward will only be achieved if resource, traffic, and mobility management methods of mobile network services can efficiently utilize these technologies. This paper conceptualizes the future requirements of mobile networks and proposes new concepts and solutions in the form of Software-Defined Mobile Networks (SDMN) leveraging SDN, NFV and cloud technologies. We evaluate the proposed solutions through testbed implementations and simulations. The results reveal that our proposed SDMN enhancements supports heterogeneity in wireless networks with performance improvements through programmable interfaces and centralized control.