Lecture notes in computer science, Journal Year: 2024, Volume and Issue: unknown, P. 128 - 141
Published: Jan. 1, 2024
Language: Английский
Applied Sciences, Journal Year: 2023, Volume and Issue: 13(14), P. 8127 - 8127
Published: July 12, 2023
In this work, a cognitive relay network (CRN) with interference constraint from the primary user (PU) mobile end is studied. The proposed system model employs half-duplex transmission between single PU and secondary (SU). addition, an amplify forward (AF) relaying technique employed SU source destination. context, (SU destination) assumed to move at high vehicular speeds, whereas other nodes Source, relays PU) are be stationary. scheme dynamically determines best for based on highest signal-to-noise (SNR) ratio by deploying selection combiner destination, thereby achieving diversity. All channels connected stationary modelled using Rayleigh distribution, all links Nakagami-m fading distribution (m<1). outage probabilities (OPs) obtained considering several scenarios Monte Carlo simulation used verify numerical results. results show that variety of factors, including number relays, severity channels, position PU, model, speed, might influence CRN’s performance.
Language: Английский
Citations
11
Symmetry, Journal Year: 2023, Volume and Issue: 15(9), P. 1673 - 1673
Published: Aug. 30, 2023
The sixth-generation (6G) wireless cellular network integrates several bands and modes with the objectives of improving quality service (QoS) increasing connectivity. 6G environment includes asymmetrical heterogeneous networks (HetNets) intention making effective use available frequencies. However, selecting a suitable gNB communication channel that works for users in is an enormous challenge HetNets. This paper investigates joint user association (UA) allocation (CA) problem two-tier HetNets by considering downlink scenario to improve QoS. Our study presents innovative scheme allocation, wherein can be connected either macro base station (MBS) or possible small (SBS) direct relay-assisted link. Furthermore, proposed identifies optimal allocated each so overall QoS maximized. A symmetric matching game-based find users. Moreover, modified auction game applied allocate quota gNB. Regarding connection probability, throughput, energy efficiency (EE), spectrum (SE), simulation results show approach performs well over state-of-the-art techniques.
Language: Английский
Citations
11
AEU - International Journal of Electronics and Communications, Journal Year: 2024, Volume and Issue: 176, P. 155170 - 155170
Published: Feb. 3, 2024
Language: Английский
Citations
4
IoT, Journal Year: 2024, Volume and Issue: 5(2), P. 409 - 448
Published: June 14, 2024
Rapid advancements in the development of smart terminals and infrastructure, coupled with a wide range applications complex requirements, are creating traffic demands that current networks may not be able to fully handle. Accordingly, study 6G deserves attention from both industry academia. Artificial intelligence (AI) has emerged for application optimization design process new networks. The developmental trend is towards effective resource management, along architectural improvement network hardware specifications. Cloud RAN (CRAN) considered one major concepts sixth- fifth-generation wireless networks, being improve latency, capacity, connectivity huge numbers devices. Besides bettering set-up terms setting carriers’ architecture specifications, among other potential enablers, also means there must management. As result, this covers thorough analysis management plans CRAN, optimization, AI taxonomy, how integration might enhance existing
Language: Английский
Citations
4
Electronics, Journal Year: 2025, Volume and Issue: 14(7), P. 1239 - 1239
Published: March 21, 2025
Hybrid satellite–terrestrial network access is gaining significant attention in the 5G ecosystem and predicted to be an essential part of future 6G standards. Multipath support required utilize hybrid features that are summarized as ATSSS (Access Traffic Steering, Switching Splitting) paradigm. Simulation frameworks can very helpful economically evaluate performance access. In this paper, we propose a distributed AI (artificial intelligence)-driven simulation framework The enables optimal session switching between satellite terrestrial networks based on SNR (Signal-to-Noise) predictions. successful operation AI-based prediction model well complete demonstrated UDP (User Datagram Protocol) streaming scenario. proposed made flexible so it adjusted various multipath scenarios
Language: Английский
Citations
0
Elsevier eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 37 - 55
Published: Jan. 1, 2025
Language: Английский
Citations
0
Published: April 15, 2024
The generation of high-quality wideband frequency sweeps presents a significant challenge, particularly in modern telecommunication, radar, and measurement systems where miniaturization is paramount. While phase-locked loops (PLLs) have become the dominant technique for signal generation, their application broadband necessitates fractional-N operation. This, turn, degrades phase noise introduces unwanted spurs. This paper proposes novel approach generation. By cascading two PLLs utilizing coaxial resonator, we achieve high-performance oscillator that operates without excessive fractional spurs, maintaining level below -80 dBc across entire band. prototype demonstrates non-degraded performance, reaching -102 dBc/Hz at 100 kHz offset -121 1 MHz 10 GHz. Despite jumps, our design achieves lock times 41 µs. These results, supported by theoretical analysis, validate proposed method's effectiveness generating low-noise sweeps, ideal local applications.
Language: Английский
Citations
3
Telecom, Journal Year: 2025, Volume and Issue: 6(1), P. 12 - 12
Published: Feb. 13, 2025
Device-to-Device (D2D) communication is a promising technological innovation that significantly considered to have substantial impact on the next generation of wireless systems. Modern networks fifth (5G) and beyond (B5G) handle an increasing number connected devices require greater data rates while utilizing relatively low power consumption. In this study, we present joint mode selection, channel assignment, allocation issues in semi-distributed D2D scheme (SD-scheme) underlays cellular networks. The objective study enhance rate, Spectrum Efficiency (SE), Energy (EE) network maintaining performance users (CUs) by creating threshold rate for each CU network. Practically, propose centralized approach address selection assignment problems, employing greedy matching algorithms, respectively. Moreover, employed State-Action-Reward-State-Action (SARSA)-based reinforcement learning (RL) algorithm distributed scheme. Furthermore, suggest sub-channel shared among several pairs, optimum determined pair sharing same sub-channel, taking into consideration all types interferences simulation findings illustrate enhancement proposed comparison benchmark schemes terms SE, EE.
Language: Английский
Citations
0
Lecture notes in computer science, Journal Year: 2025, Volume and Issue: unknown, P. 103 - 114
Published: Jan. 1, 2025
Language: Английский
Citations
0
Journal of Internet Services and Applications, Journal Year: 2025, Volume and Issue: 16(1), P. 117 - 130
Published: May 2, 2025
This study presents an approach based on Reinforcement Learning (RL) to optimize the orchestration of User Association and Resource Allocation (UARA) mechanisms in next-generation heterogeneous networks, focusing maximizing user satisfaction. The proposed strategy aims improve efficiency these networks by overcoming operational challenges through user-centered adaptive algorithms. RL algorithms are utilized rebalance network load distribution radio resources among Equipments (UEs), ultimately leading improved service conditions. results suggest that strategic application can lead significant improvements compared traditional methods, such as Max-SINR Cell Range Expansion (CRE), reaching over 90% satisfaction, highlighting relevance this research for networks.
Language: Английский
Citations
0