The resource allocation solution offered based on non-orthogonal multiple access (NOMA)
and orthogonal multiple access (OMA) schemes are sub-optimal to address the challenging …

This paper is concerned with a cognitive cloud radio access network (CRAN) with a special
attention to efficient and reliable downlink transmission of big data for secondary users …

Cognitive radio network (CRNs) with energy harvesting approach to identify unused
spectrum bands and utilize them opportunistically is observed as an evolving technology to …

Reinforcement learning (RL) has proven to be an effective approach for achieving
intelligence in Cognitive Radio (CR). Through interactions with the environment, RL enables …

Wireless sensor location is a challenging task issue in the Internet of Things (IoT). Distance
vector-hop (DV-hop) algorithm provides a range-free positioning scheme, but its position …

Facing the exponential demand for massive connectivity and the scarcity of available
resources, next-generation wireless networks have to meet very challenging performance …

In recent times, many real time applications are developed using IoT based mobile wireless
communication which increased the demand. Cognitive radio technology supplies a …

Facing the ever-increasing deployment of Machine Type Devices (MTDs) and the ubiquity of
Internet of things (IoT), the future sixth generation (6G) of wireless communication systems …

Cognitive small cell networks, consisting of macro-cells and small cells, are foreseen as a
promising candidate solution to address 5G spectrum scarcity. Recently, many technological …

In wireless networks, managing an increasing number of users becomes increasingly
challenging as user density rises. To address these challenges, various algorithms are …