Tag Archive: 'ieee opnet project'

A Traffic Load Balancing Framework for Software-Defined Radio Access Networks Powered by Hybrid Energy Sources

Dramatic mobile data traffic growth has spurred a dense deployment of small cell base stations (SCBSs). Small cells enhance the spectrum efficiency and thus enlarge the capacity of mobile networks. Although SCBSs consume much less power than macro BSs (MBSs) do, the overall power consumption of a large number of SCBSs is phenomenal. As the energy harvesting technology advances, base stations (BSs) […]

Software defined synergistic IP+optical resilient transport networks [Invited]

Integrated orchestration of the IP+optical transport network has been well studied in recent years and has become a realistic trend in telecommunication network deployments. OpenFlow-based softwaredefined network architecture is among the emerging and intensively investigated unified control plane solutions. Numerous previous works have focused on enabling optical networks to support the OpenFlow control plane, but mostly […]

Matching theory for future wireless networks: fundamentals and applications

The emergence of novel wireless networking paradigms such as small cell and cognitive radionetworks has forever transformed the way in which wireless systems are operated. In particular, the need for self-organizing solutions to manage the scarce spectral resources has become a prevalent theme in many emerging wireless systems. In this article, the first comprehensive tutorial on the […]

ID-based communication for realizing IoT and M2M in future heterogeneous mobile networks

Internet of Things (IoT) and Machine to Machine (M2M) communication are expected to be the major paradigm of communications in the future Internet, where trillion of devices will be connected through heterogeneous mobile networks that will vary in both networking and link technologies. The IoT/M2M devices need to remain connected despite they change their points of […]

Simultaneous Schedule-Based Transmission by Primary and Secondary Users for Heavy-Traffic Cognitive Radio Networks

We develop cognitive radio networking methods for a heavy-traffic model in which the channel is always occupied by primary users. This contrasts with the interference-avoidance approach for the non-heavy-traffic model, in which primary users have idle times, and secondary users are allowed to use the channel at those idle times. We use an “underlay” approach to cognitive […]

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