The well documented growth in mobile traffic is mainly driven by increasingly sophisticated smart phone applications. Simultaneously, user preference for lighter phones has resulted in more battery power constrained hand-helds that offload computations to resource intensive cloud. This second trend exacerbates the bandwidth crunch often experienced over wireless networks. Our idea (joint cognit...

With the increase in mobile traffic and the bandwidth demand, Device-to-Device (D2D) communication underlaying Long Term Evolution (LTE) networks has gained tremendous interest by the researchers, cellular operators and equipment manufacturers. However, the application of D2D communication has been limited to emergency services and it needs to be explored in commercial applications. In this pap...

This paper presents an elastic optical path network architecture as a novel networking framework to address the looming capacity crunch problem in internet protocol (IP) and optical networks. The basic idea is to introduce elasticity and adaptation into the optical domain to yield spectrally-efficient optical path accommodation, heightened network scalability through IP traffic offloading to th...

The widespread adoption of 5G cellular technology will evolve as one the major drivers for growth IoT-based applications. In this paper, we consider a Service Provider (SP) that launches smart city service based on IoT data readings: in order to serve collected across different locations, SP dynamically negotiates and rescales bandwidth functions. network slicing functions are key lease appropr...

Computation offloading is a method of saving energy and time on resource-constrained mobile devices by executing some tasks on the cloud. A computation offloading mechanism determines portions of the application that can be offloaded for remote execution. The offloading decision problem depends on various parameters, like application characteristics, network conditions, hardware features, that ...

Today’s terrestrial cellular communications networks face difficulties in serving coexisting users and devices due to the enormous demands of mass connectivity. Further, natural disasters unexpected events lead an unpredictable amount data traffic, thus causing congestion network. In such cases, addition on-demand network entities, as fixed or aerial base stations, has been proposed a viable so...

Resource allocation and management in an Internet-of-Things (IoT) paradigm requires precise request response processing irrespective of its scalability support. Unpredictable traffic patterns user density demands reliable offloading for handling service response. Considering the need large-scale IoT account interoperability heterogeneous support, this manuscript introduces a response-aware sche...

Intelligent network selection plays an important role in achieving an effective data offloading in the integrated cellular and Wi-Fi networks. However, previously proposed network selection schemes mainly focused on offloading as much data traffic to Wi-Fi as possible, without systematically considering the Wi-Fi network congestion and the ping-pong effect, both of which may lead to a poor over...