This paper focuses on a heterogeneous scenario in which cellular and wireless local area
technologies coexist and mobile devices are enabled with device-to-device (D2D) …

A distributed reinforcement learning (RL) based resource management framework is
proposed for a mobile edge computing (MEC) system with both latency-sensitive and …

Activity patterns of primary users have significant influence on the opportunities for
secondary use of spectrum. In this paper we explore this impact in terms of spatial spectrum …

In this paper we propose a heuristic algorithm that exploits additional information that can be
in general known by a secondary network willing to opportunistically access the spectrum …

In this paper we propose a general model to estimate the maximum allowed transmit power
of a secondary node based on the measured signal from the primary transmitter that is …

This paper focuses on the use of Opportunistic Networks as a candidate solution for
extending the coverage of cellular networks when providing high bit rate data services. It is …

This study investigates energy efficiency issues of device-to-device (D2D) communications
in heterogeneous networks. To minimize the total transmitted power, an approach based on …

A common concept to mitigate the effects of spectrum scarcity is to allow opportunistic
dynamic spectrum access (DSA) to licensed frequency bands. In this context, the license …

In this paper, we explore the possibility of deploying a cognitive network that can
opportunistically access the spectrum allocated to a primary cellular network. The main …

Cognitive radio has been considered as the most possibly techniques to solve the problems
of spectrum underutilization and the spectrum scarcity. To discover the spectrum utilization …