Low latency applications, such as multimedia communications, autonomous vehicles, and
Tactile Internet are the emerging applications for next-generation wireless networks, such as …

This article proposes deep learning (DL) framework constructed using deep autoencoder
(DAE) to detect the malicious nodes in an Internet of Things (IoT) network assisted by the …

The rapid development of wireless sensor networks (WSNs) is a significant incentive to
contribute to vulnerable applications such as cognitive radio (CR). This paper proposes a …

Consider a device-to-device (D2D) link which utilizes the mode selection to decide between
the direct mode and cellular mode. This letter investigates the impact of mode selection on …

The authors propose a game‐theoretic approach using the Stackelberg game for securing
cognitive radio sensor network (CRSN) against the spectrum sensing data falsification …

Wireless network virtualization, which decouples the physical supply process and the
service provisioning process, can abstract, isolate, and share the physical infrastructure …

We consider futuristic, intelligent reflecting surfaces (IRS)-aided communication between a
base station (BS) and a user equipment (UE) for two distinct scenarios: a single-input, single …

This paper investigates the impact of authentication on effective capacity (EC) of an
underwater acoustic (UWA) channel. Specifically, the UWA channel is under impersonation …

This paper studies fundamental throughput and delay tradeoffs in cognitive radio systems
with cooperative secondary users. We focus on randomized cooperative policies, whereby …

Device-to-device (D2D) communication is a promising technology towards 5G networks.
D2D communication can offload traffic using licensed/unlicensed band by establishing a …