| 摘要(英) |
This paper investigates an aspect of 5G wireless communication technology: efficient resource allocation and management for the downlink channel. The primary objective is to handle multiple Bandwidth Parts (BWP) effectively to meet the diverse application requirements within the 5G communication system′s downlink channel. In the 5G downlink, BWPs are typically defined by varying Numerologies (denoted by μ), including various subcarrier spacings and time domain configurations. This study introduces a BWP Segmentation approach that aims for optimized resource allocation by combining BWPs based on different Numerology values, particularly for critical 5G applications like Ultra-Reliable Low-Latency Communications (URLLC), Enhanced Mobile Broadband (eMBB), and Massive Machine Type Communications (MMTC).
The research pays special attention to the latency involved in BWP switching and examines the impact of the Inactivity Timer on downlink resource management strategies. Two BWP switching algorithms are proposed: one based on idle resources and another based on resource release indicators (RRI). The combination of these algorithms allows for flexible response to communication needs in the 5G downlink and efficient management of the potential latency introduced by BWP switching while maintaining high resource utilization and low latency.
Experiments and simulations conducted assess the performance of the BWP Segmentation method under different arrival rate scenarios. Results demonstrate latency reduction achieved through Idle and RRI algorithms and significant power-saving advantages over traditional methods.
Overall, the outcomes of this research are of practical importance for addressing resource allocation and management in the 5G downlink and for meeting the demands of various 5G applications. These findings lay a solid foundation for establishing efficient, reliable, and diversified 5G application scenarios, offering research directions for energy savings and latency reduction. |
| 參考文獻 |
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