基于能效的LEO卫星跳波束系统联合上行资源分配

IF 8.9 1区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS
Songsong Cai;Cheng Wang;Xiaoyan Zhao;Lexi Xu;Weidong Wang
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引用次数: 0

摘要

多维资源管理通过对近地轨道卫星系统无线资源的动态分配,提高了系统的运行效率。然而,现有的研究大多忽略了地面终端从同质型到异质型的演化趋势。例如,由于操作环境和部署成本的不同,tt的能源效率(EE)要求本身就存在差异。因此,本文研究了低轨卫星上行链路的跳波束模式、频率分配和功率控制的设计,同时考虑了不同波段的EE灵敏度。具体而言,制定了一个资源管理问题,以最大化加权和EE,它捕获了tt之间的EES差异。其次,基于EES和空间隔离构造了无向图,并根据多对一匹配理论提出匹配算法来获取黑洞模式;然后,为了解决频率分配和功率控制的联合问题,采用惩罚函数来处理用于表示频率分配的二进制变量。最后,利用二次变换和极小最大化方法对原问题进行凹化,保证得到次优解。仿真结果表明,该方法为联合资源管理提供了比相关基准更高的优化上限。此外,与忽略EES方案相比,提出的上行资源管理方案显著提高了LEO卫星上行EE的34%。本研究建立了异构低轨道系统中节能上行资源管理的新范式。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Energy-Efficiency-Based Joint Uplink Resources Allocation for LEO Satellite Beam-Hopping System
Multidimensional resources management enhances the efficiency of low-Earth orbit (LEO) satellite systems by dynamically allocating wireless resources. However, the majority of existing studies have overlooked the evolutionary trend of terrestrial terminals (TTs) from homogeneous to heterogeneous types. For instance, energy efficiency (EE) requirements for TTs inherently vary due to differences in their operating environments and deployment costs. Thus, this article investigates the design of beam hopping (BH) patterns, frequency allocation, and power control for LEO satellite uplinks, considering the diverse EE sensitivity (EES) among TTs. Specifically, a resource management problem is formulated to maximize the weighted sum EE, which captures the differences in EES among TTs. Next, an undirected graph is constructed based on EES and spatial isolation, and matching algorithms are proposed according to the many-to-one matching theory to obtain BH patterns. After that, to solve the joint frequency allocation and power control problem, a penalty function is applied to handle the binary variable utilized for expressing frequency allocation. Finally, quadratic transform and minorize–maximization are employed to concave the original problem, which guarantees to obtain a suboptimal solution. Simulation results demonstrate that proposed BH design methods provide a higher optimization ceiling for joint resources management than relevant benchmarks. Besides, the proposed uplink resources management significantly improves the EE by 34% in LEO satellite uplink compared with ignoring EES scheme. This work establishes a novel paradigm for energy-efficient uplink resource management in heterogeneous LEO systems.
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来源期刊
IEEE Internet of Things Journal
IEEE Internet of Things Journal Computer Science-Information Systems
CiteScore
17.60
自引率
13.20%
发文量
1982
期刊介绍: The EEE Internet of Things (IoT) Journal publishes articles and review articles covering various aspects of IoT, including IoT system architecture, IoT enabling technologies, IoT communication and networking protocols such as network coding, and IoT services and applications. Topics encompass IoT's impacts on sensor technologies, big data management, and future internet design for applications like smart cities and smart homes. Fields of interest include IoT architecture such as things-centric, data-centric, service-oriented IoT architecture; IoT enabling technologies and systematic integration such as sensor technologies, big sensor data management, and future Internet design for IoT; IoT services, applications, and test-beds such as IoT service middleware, IoT application programming interface (API), IoT application design, and IoT trials/experiments; IoT standardization activities and technology development in different standard development organizations (SDO) such as IEEE, IETF, ITU, 3GPP, ETSI, etc.
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