The massive number of Machine-Type Communication Devices (MTCDs) coexisting with
Cellular User Equipment (CUE), in addition to the diverse Quality-of-Service (QoS) …

Machine-to-machine (M2M) communications can effectively utilize cognitive radio (CR) to
coexist with cellular users in what is known as cognitive M2M (CM2M) communications. In …

With the emergence of the Internet-of-Things (IoT), communication networks have evolved
toward autonomous networks of intelligent devices capable of communicating without direct …

In this paper, we investigate the optimal power allocation strategy in a cognitive radio-based
machine-to-machine (M2M) network where a licensed primary user and multiple unlicensed …

We evaluate the feasibility of cognitive machine-to-machine communication on cellular
bands from engineering and business perspectives. We propose a hierarchical network …

In this paper, we study a novel integration of the Mobile edge computing (MEC) technology
with cognitive radio (CR) into a holistic network, namely CR-MEC, aim to create a paradigm …

In this study, the authors propose an efficient resource allocation algorithm in downlink of an
orthogonal frequency division multiple access (OFDMA)‐based multi‐cell underlay cognitive …

In this paper, a cognitive machine-to-machine (M2M) communication network is considered,
in which a cellular network shares the spectrum with the M2M communication network with …

This paper investigates the problem of energy efficient resource allocation in a chunk-based
multi-carrier cognitive radio (CR) network. Chunk-based resource allocation is adopted …

In this paper, we study the coexistence and optimization of a multicell cognitive radio
network (CRN) which is overlaid with a multicell primary radio network (PRN). We propose a …