Unmanned aerial vehicles (UAVs) have great potential in 5G and 6G networks due to their communication capabilities, low-cost, and adaptable deployment opportunities. The use of multiple Unmanned Aerial Vehicles (UAV) systems is a more cost-effective and operationally efficient approach compared to using a single UAV system. Compared to a large UAV, flying ad hoc networks (FANETs) with small UAVs have many advantages. This UAV-based architecture typically uses clusters of UAVs, where the UAV acts as a cluster head (CH), collecting information from other UAVs and sending it to the emergency communication vehicle (ECV). Although this model works well in open areas, Non-line-of-sight (NLoS) issu... More >

Device-to-Device (D2D) communication serves as a pivotal technology in the evolution of cellular networks, presenting opportunities to markedly improve spectral efficiency, minimize latency, and optimize energy consumption through direct interactions between user devices. Nonetheless, the implementation of spectrum reuse by D2D pairs presents significant interference challenges, particularly in underlay communication contexts. This paper presents a robust and energy-efficient resource allocation mechanism utilizing a polynomial-time proportional fair (PF) scheduling algorithm. The framework provides minimum rate assurances for cellular users while adaptively distributing multiple resource bl... More >

Aiming to move from conventional throughput-centric paradigms to intelligent, context-aware systems able of perception and autonomous decision-making, sixth-generation (6G) wireless networks is seeking. Driven by recent developments in deep learning and edge artificial intelligence, computer vision (CV) proves to be a key enabler for such perceptive 6G systems. This paper offers a thorough overview bringing together the scattered terrain of CV-enabled 6G technologies. It benchmarks current models against major 6G performance criteria, evaluates architectural paradigms including federated and split learning, and presents a disciplined taxonomy of use cases. This study also notes the possibili... More >

The emergence of ultra-wideband (UWB) technology, following the FCC’s allocation of the 3.1-10.6 GHz spectrum for unlicensed use, has significantly advanced short-range wireless communication, particularly in biomedical telemetry. This paper proposes a compact UWB microstrip patch antenna (32×32×1.6 mm³) designed for biomedical applications such as brain tumor detection, cancer screening, and health monitoring. The antenna incorporates a miniaturized radiating patch with stair-step and serrated slot structures, as well as a defected ground configuration to enhance impedance bandwidth and reduce electromagnetic interference. It achieves effective operation across the 2.48-10.8 GHz range... More >

The Traveling Salesman Problem (TSP) is a well-known NP-hard problem that aims to find the optimal tour among cities, visiting each exactly once and returning to the origin. Over the years, many researchers have proposed various approaches to find near-optimal solutions for TSP. This paper proposed a variant of the nearest neighbor algorithm termed the 2-step nearest neighbor algorithm. Unlike the original nearest neighbor approach, this algorithm considers two nearest nodes as potential next nodes. For each of those nearest nodes, the two nearest nodes have been considered. The sub-tour with the minimum cost among the resulting four has added to the final tour. This process continues until... More >