A survey on mobile edge computing for video streaming: Opportunities and challenges

MA Khan, E Baccour, Z Chkirbene, A Erbad… - IEEE …, 2022 - ieeexplore.ieee.org
5G communication brings substantial improvements in the quality of service provided to
various applications by achieving higher throughput and lower latency. However, interactive …

A comprehensive survey of emergency communication network and management

S Debnath, W Arif, S Roy, S Baishya, D Sen - Wireless Personal …, 2022 - Springer
The performance of wireless communication network is important in emergency rescue
operations while ensuring optimum usage of limited wireless resources. Due to the …

Design and analysis of frequency hopping-aided FMCW-based integrated radar and communication systems

MX Gu, MC Lee, YS Liu, TS Lee - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Although the frequency-modulated continuous-wave (FMCW)-based scheme has been
considered a candidate for realizing integrated radar-communication (RadCom) systems, it …

State-augmented learnable algorithms for resource management in wireless networks

N NaderiAlizadeh, M Eisen… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
We consider resource management problems in multi-user wireless networks, which can be
cast as optimizing a network-wide utility function, subject to constraints on the long-term …

无人机机间毫米波阵列通信技术

肖振宇, 刘珂, 朱立鹏 - 通信学报, 2022 - infocomm-journal.com
随着无人机应用范围的扩大和所承担任务的多样化, 机间通信对于大带宽, 高数据率,
抗干扰能力的需求快速增长, 具有丰富频谱资源的毫米波阵列通信成为支持机间宽带安全通信的 …

Wireless link scheduling over recurrent Riemannian manifolds

R Shelim, AS Ibrahim - IEEE Transactions on Vehicular …, 2022 - ieeexplore.ieee.org
Deep learning models for scheduling of potentially-interfering communication pairs, in
device-to-device (D2D) settings, require large training samples in the order of hundreds to …

Geometric machine learning over riemannian manifolds for wireless link scheduling

R Shelim, AS Ibrahim - IEEE Access, 2022 - ieeexplore.ieee.org
In this paper, we propose two novel geometric machine learning (G-ML) methods for the
wireless link scheduling problem in device-to-device (D2D) networks. In dynamic D2D …

[PDF][PDF] 5G Network: Techniques to Increase Quality of Service and Quality of Experience

NA Khan - Int. J. Comput. Netw. Appl.(IJCNA), 2022 - academia.edu
The rapid growth of interconnected networks and devices inevitably causes the rise of traffic
demand and thus pushes the technologies like long-term evolution-Advanced (LTE-A) and …

Survey on d2d resource scheduling and power control techniques: State-of-art and challenges

AA Dejen, Y Wondie, A Förster - EAI Endorsed Transactions on Mobile …, 2022 - eudl.eu
Abstract Device to Device (D2D) communication has emerged as the most promising
paradigm for optimizing spectral and energy efficiency, reliability as well as increasing …

Efficient Usage of Energy in 5G toward Sustainable Development inclined to Industry 4.0 Connectivity

D Pradhan, HM Tun, NKS Wah, T Oo… - 2022 IEEE Region …, 2022 - ieeexplore.ieee.org
As traffic requests keep on flooding, conveying 5G similarly as its past ages become
dynamically far-fetched. In addition to the fact that it would mean a sensational expansion in …