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<p>5G mobile wireless communication is seeing a sharp rise in the growth of contemporary multimedia applications. Providing smart user equipment (UE) devices with the highest quality of service (QOS) is crucial to sustaining this growth. By giving the UE a lot of resources through mmWave multiple beam links, a robust QOS is achieved. In order to ensure a strong communication link with the Base Station, the UE uses its own beams to conduct a beam training procedure in which it chooses and aligns with the optimal active beam pair. This process consumes significant energy and increases the UE’s battery temperature. Therefore, energy-latency trade-off with thermal modeling is a major challenge in the study. This paper introduces the discontinuous reception (DRX) sleep mode, which uses two beam training-based mechanisms to extend the sleep window when no data packets arrive at the Base Station, thereby extending the UE battery lifetime. Multiple beam measurements and feedback signals are taken into account by the Multi-Beam DRX (MB-DRX), the first sleep mode mechanism. Only serving beam cycles are taken into account by the second one, known as the Beam-Aware DRX (BA-DRX). Both methods can lower the temperature of the UE, provide acceptable latency, and save battery consumption. The sleep ratio, average packet delay, and steady temperature are computed for both existing and proposed models. Additionally, the study contrasts how well the two current sleep modes perform. A MATLAB simulation program is used to check the system model validity and to obtain the analytical results. These analytical results observe about 98.5% of sleep ratio, 50&#xa0;ms of average packet delay in addition to adjusting the steady temperature below 27&#xa0;°C by the current work rather than the traditional approaches. At the end of this paper, the impact of UE mobility is assessed on performance metrics under different data packet arrival rates.</p>

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Discontinuous reception sleep mode based on beam training procedure in 5G mmWave communication systems

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  • 发表日期：

    2025年10月13日

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  • Mustafa M. Sallam,
  • Fayez Wanis Zaki,
  • Mohammed M. Ashour,
  • Hala B. Nafea

摘要

5G mobile wireless communication is seeing a sharp rise in the growth of contemporary multimedia applications. Providing smart user equipment (UE) devices with the highest quality of service (QOS) is crucial to sustaining this growth. By giving the UE a lot of resources through mmWave multiple beam links, a robust QOS is achieved. In order to ensure a strong communication link with the Base Station, the UE uses its own beams to conduct a beam training procedure in which it chooses and aligns with the optimal active beam pair. This process consumes significant energy and increases the UE’s battery temperature. Therefore, energy-latency trade-off with thermal modeling is a major challenge in the study. This paper introduces the discontinuous reception (DRX) sleep mode, which uses two beam training-based mechanisms to extend the sleep window when no data packets arrive at the Base Station, thereby extending the UE battery lifetime. Multiple beam measurements and feedback signals are taken into account by the Multi-Beam DRX (MB-DRX), the first sleep mode mechanism. Only serving beam cycles are taken into account by the second one, known as the Beam-Aware DRX (BA-DRX). Both methods can lower the temperature of the UE, provide acceptable latency, and save battery consumption. The sleep ratio, average packet delay, and steady temperature are computed for both existing and proposed models. Additionally, the study contrasts how well the two current sleep modes perform. A MATLAB simulation program is used to check the system model validity and to obtain the analytical results. These analytical results observe about 98.5% of sleep ratio, 50 ms of average packet delay in addition to adjusting the steady temperature below 27 °C by the current work rather than the traditional approaches. At the end of this paper, the impact of UE mobility is assessed on performance metrics under different data packet arrival rates.