Optimizing resource allocation in remote healthcare via blockchain-enabled decentralized networks and spectral clustering by A. Kanimozhi, K. Vidya

Get full text

AI-Driven Resource Allocation for RIS-Assisted NOMA in IoT Networks by Syed M. Hamedoon, Jawwad Nasar Chattha, Umair Rashid, S. M. Ahsan Kazmi, Manuel Mazzara

Get full text

CNN-Based End-to-End CPU-AP-UE Power Allocation for Spectral Efficiency Enhancement in Cell-Free Massive MIMO Networks by Yoon-Ju Choi, Ji-Hee Yu, Seung-Hwan Seo, Seong-Gyun Choi, Hye-Yoon Jeong, Ja-Eun Kim, Myung-Sun Baek, Young-Hwan You, Hyoung-Kyu Song

“…Simulation results demonstrate that the proposed CNN-based power allocation method significantly improves spectral efficiency compared to conventional power allocation techniques while also enhancing energy efficiency. …”
Get full text

The Non-Orthogonal Multiple Access (NOMA) Dynamic Power Allocation in 5G Networks by Noor Alzubaidi, Ismael Sharhan Hubri

Get full text

Beam-space MIMO-NOMA Technique for mm-Wave Communication Systems by Haider Salih Al Ammar, Ismail Hburi

Get full text

Advanced SDR-Based Custom OFDM Protocol for Improved Data Rates in HF-NVIS Links by Emil Șorecău, Mirela Șorecău, Paul Bechet

Get full text

Mathematical Modeling and Clustering Framework for Cyber Threat Analysis Across Industries by Fahim Sufi, Musleh Alsulami

Get full text

Edge Convolution Graph Neural Network Assisted Power Allocation for Wireless IoT Networks by Jihyung Kim, Yeji Cho, Junghyun Kim

“…We propose a novel power control technique called PC-ECGNN, which uses edge convolution to optimize power allocation in wireless IoT networks. …”
Get full text

Hybrid precoding and power allocation for mmWave NOMA systems based on time delay line arrays by Gangcan SUN, Xinli WU, Wanming HAO, Zhengyu ZHU

“…In this thesis, a lowcomplexity and low-power delay line array consisting of switches and delay lines for continuous phase modulation is introduced into the mmWave NOMA system, and the energy efficiency(EE)and spectral efficiency(SE)of the system are investigated. …”
Get full text

A NEURAL NETWORK APPROACH TO BEAM SELECTION AND POWER OPTIMIZATION IN MM WAVE MASSIVE MIMO by Shahnaz Fatima, M. P. Subba Raju, R. Anil Kumar, Vatsala Anand, Yarrapragada K. S. S. Rao, D. Kishore, U. S. B. K. Mahalaxmi, K. Kalyani

Get full text

On weighted sum‐rate maximization of full‐duplex systems in presence of STAR‐RIS by Mohammad Reza Kavianinia, Mohammad Javad Emadi, Mohammad Ali Sedaghat

“…Abstract Reflecting intelligent surface (RIS) is one of the key enabling technologies for beyond fifth generation wireless networks to further improve coverage, spectral‐ and energy‐efficiency of wireless networks. …”
Get full text

A spectral Fletcher-Reeves conjugate gradient method with integrated strategy for unconstrained optimization and portfolio selection. by Nasiru Salihu, Sulaiman M Ibrahim, P Kaelo, Issam A R Moghrabi, Elissa Nadia Madi

“…The spectral conjugate gradient (SCG) technique is highly efficient in addressing large-scale unconstrained optimization challenges. …”
Get full text

A novel approach for peak-to-average power ratio reduction and spectral efficiency enhancement in 5G and beyond networks by S. Pavithra, S. Chitra

“…This paper presents a novel structurally modified filtered NOMA system integrated with a Decomposed-based Selective Mapping (D-SLM) technique, to reduce high PAPR, and thereby increase spectral efficiency and enable effective spectrum sharing. …”
Get full text

A detailed reinforcement learning framework for resource allocation in non‐orthogonal multiple access enabled‐B5G/6G networks by Nouri Omheni, Anis Amiri, Faouzi Zarai

“…To improve the energy and spectral efficiency of these types of networks, the non‐orthogonal multiple access (NOMA) technique is seen as the key solution that can accommodate more users and dramatically improve spectrum efficiency. …”
Get full text

Towards energy-efficient joint relay selection and resource allocation for D2D communication using hybrid heuristic-based deep learning by C. H. Ramesh Babu, S. Nandakumar

“…Then, the data provided as the input to the adaptive residual gated recurrent unit (AResGRU) model for the automatic prediction of an optimal number of relays and allocation of resources. Here, the AResGRU technique’s parameters are optimized by the same HMRFCO for improving the prediction task. …”
Get full text

Optimizing integration techniques for UAS and satellite image data in precision agriculture — a review by Aliasghar Bazrafkan, C. Igathinathane, Nonoy Bandillo, Paulo Flores

“…The study investigates optimization techniques, spectral synergy, temporal strategies, and challenges in data fusion, presenting transformative insights such as enhanced biomass estimation through UAS-satellite synergy, improved nitrogen stress detection in maize, and refined crop type mapping using multi-temporal fusion. …”
Get full text

Development of Adaptive Resource Allocation and Interference Mitigation for Spectrum Sharing in D2D-Enabled 5G Heterogeneous Networks: A Case Study of Urban Microcell Environments by Ashraf Adam Ahmad, Usman Bem Abubakar, Fatai Olatunde Adunola, Amina Jibril, Kulu Ahmad Amalo

“…This study developed an adaptive resource allocation framework using Long Short-Term Reinforcement Learning (LSRL), which integrated Long Short-Term Memory (LSTM) networks with Deep Reinforcement Learning (DRL) technique. …”
Get full text

Bio inspired multi agent system for distributed power and interference management in MIMO OFDM networks by R. Kanmani, S. Mary Praveena

“…Effective power and interference management are pivotal for maintaining signal quality and enhancing resource utilization. Existing techniques for resource allocation and interference control in massive MIMO–OFDM networks face challenges related to scalability, adaptability, and energy efficiency. …”
Get full text

EEG-based characterization of auditory attention and meditation: an ERP and machine learning approach by Eyad Talal Attar

“…The study evaluated event-related potentials alongside theta, alpha and beta spectral power while employing machine learning techniques to distinguish meditative states from cognitive tasks.MethodsThe study utilized data from 13 participants aged 24–58, which researchers obtained through an openly accessible OpenNeuro dataset.ResultExamination of eventrelated potentials (ERPs) demonstrated that P300 amplitude showed significant growth when responding to oddball stimuli, which indicates increased attention allocation (p < 0.05). …”
Get full text

Open Radio Access Networks “O-RAN” SystemsThroughput improvement) by Russul Qasim, Ismail S. Baqer

“…However, due to the large number of users and limited capacity of the fronthaul in dense wireless systems, it becomes challenging to achieve optimal resource allocation in such massive systems. In this work, we balance the spectral efficiency and the required power, which will reduce the signalling overheads and processing in high-density radio access networks. …”
Get full text