The proliferation of smart vehicular terminals (VTs) and their resource hungry applications
impose serious challenges to the processing capabilities of VTs and the delivery of vehicular …

In order to enable low-latency computation-intensive applications for mobile user
equipments (UEs), computation offloading becomes critical necessary. We tackle the …

Emerging 5G communication paradigms, such as machine-type communication, have
triggered an explosion in ad-hoc applications that require connectivity among the nodes of …

With an exponentially increasing number of users and their data rate demands, current 4G
cellular networks need to be evolved to next fifth-generation networks. A heterogeneous …

In this paper, we develop computation offloading scheme based on device-to-device (D2D)
communications. The scheme is proposed for effective computation execution where some …

Mobile edge computing (MEC) has emerged as a potential paradigm to enhance the
processing capabilities of mobile user equipments (MUEs), while edge caching has become …

Internet of things (IoT) are envisioned to be an essential in our daily lives, but most IoT
devices (IDs) are battery powered and have limited resource. Recently, fog computing (FC) …

In this study, the authors study a sustainable resource allocation scheme for delay‐sensitive
applications in an energy harvesting (EH)‐cloud radio access network (CRAN). The authors …

This paper addresses the problem of joint resource allocation and admission control for an
energy harvesting (EH)-based cooperative orthogonal frequency-division multiple access …

Computational efficiency, CE, of a baseband unit, BBU, has become a key issue for a cloud
radio access network, CRAN. The CE is defined as the sum of computational power, CP and …