
Results in Engineering, Journal Year: 2024, Volume and Issue: unknown, P. 103718 - 103718
Published: Dec. 1, 2024
Language: Английский
Results in Engineering, Journal Year: 2024, Volume and Issue: unknown, P. 103718 - 103718
Published: Dec. 1, 2024
Language: Английский
IEEE Open Journal of the Communications Society, Journal Year: 2025, Volume and Issue: 6, P. 881 - 925
Published: Jan. 1, 2025
Language: Английский
Citations
2Results in Engineering, Journal Year: 2024, Volume and Issue: 23, P. 102462 - 102462
Published: June 28, 2024
In the context of wireless systems going forward, particularly in Beyond 5G (B5G) era, where high data rates and low latency are critical, D2D communication is a pivotal technology that has many advantages. communication, allocation resources plays critical role achieving higher throughput while ensuring interference management, improved spectrum energy efficiency, system fairness. Conventional resource methodologies encounter challenges dynamically changing diverse environments. To deal with dynamic unpredictable character channel characteristics, we utilize distributed iterative technique based on reinforcement learning (RL) approach empowers to learn adapt environment autonomously. this paper, formulate Q learning-based RL method as its real-time capabilities, reduced overhead, exploration efficiency make it well-suited for adapting environments compared other methods. By applying Q-learning method, devices act agents striving maximize cumulative rewards. Through interactions continuous from feedback, these decisions over time. Comparing our proposed state-of-the-art techniques, simulation results show improvements latency, an increase Jain's fairness index, overall about 6 %–8 %. The scalability found be 1.69 interpreting exhibits good does not abruptly decrease increasing number devices.
Language: Английский
Citations
5Results in Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 104353 - 104353
Published: Feb. 1, 2025
Language: Английский
Citations
0e-Prime - Advances in Electrical Engineering Electronics and Energy, Journal Year: 2025, Volume and Issue: unknown, P. 100966 - 100966
Published: March 1, 2025
Language: Английский
Citations
0Results in Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 105035 - 105035
Published: April 1, 2025
Language: Английский
Citations
0Results in Engineering, Journal Year: 2024, Volume and Issue: 23, P. 102615 - 102615
Published: July 27, 2024
Generalized frequency division multiplexing (GFDM) and non-orthogonal multiple access (NOMA) schemes are currently regarded as promising techniques for meeting the requirements of sixth-generation (6G) communication systems. While significant attention has been devoted to studying these techniques, specific scenarios still need be explored. Considering that one essential aspect any system is utilization high-power amplifiers, which typically modeled non-linear systems, in this paper, we propose a novel methodology analyze bit error probability (BEP) NOMA-GFDM systems operating on memoryless system. To account distortions induced by polynomial model employed, new theoretical expressions developed compute BEP Specifically, exact two-user downlink provided. The numerical results obtained demonstrate distortion significantly degrades performance.
Language: Английский
Citations
3Results in Engineering, Journal Year: 2024, Volume and Issue: unknown, P. 102909 - 102909
Published: Sept. 1, 2024
Language: Английский
Citations
3Results in Engineering, Journal Year: 2024, Volume and Issue: unknown, P. 103718 - 103718
Published: Dec. 1, 2024
Language: Английский
Citations
1