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首页> 外文期刊>IEEE transactions on wireless communications >Energy Efficiency and Traffic Offloading Optimization in Integrated Satellite/Terrestrial Radio Access Networks
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Energy Efficiency and Traffic Offloading Optimization in Integrated Satellite/Terrestrial Radio Access Networks

机译:集成卫星/地面无线电接入网络中的能效和流量卸载优化

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摘要

In order to cope with the explosive growth of mobile traffic, many traffic offloading schemes such as heterogenous networks have been developed to enhance network capacity of the Radio Access Network (RAN). Among them, networking of Low-Earth Orbit (LEO) satellites promises to significantly improve the RAN performance due to its economical prospect and advantages in high bandwidth and low latency. In this paper, by introducing the cache-enabled LEO satellite network as a part of RAN, we propose an integrated satellite/terrestrial cooperative transmission scheme to enable an energy-efficient RAN by offloading traffic from base stations through satellite & x2019;s broadcast transmission. Considering energy-constraints of satellites, we then formulate a nonlinear fractional programming problem aiming at optimizing transmission energy efficiency of the system. In order to effectively solve this problem, we transform it into an equivalent one, and then adopt iteration and sub-problem decomposition to obtain the optimal solution for each optimization variable, i.e., block placement, power allocation, and cache sharing variable. Numerical results show that compared with traditional terrestrial scheme, our cooperative transmission scheme achieves significant performance improvement in terms of traffic offloading and energy efficiency, especially in an environment of high request consistency degree.
机译:为了应对移动流量的爆炸性增长,已经开发出许多流量卸载方案,例如异形网络,以提高无线电接入网络的网络容量(RAN)。其中,低地球轨道(Leo)卫星的网络承诺由于其在高带宽和低延迟高度的经济前景和优势而显着提高了运行性能。在本文中,通过将高速缓存的LEO卫星网络作为RAN的一部分引入,我们提出了一种集成的卫星/地面协同传输方案,以通过卫星和X2019卸载来自基站的流量来实现节能RAN 。考虑到卫星的能量限制,我们可以制定一个非线性分数编程问题,旨在优化系统的传输能效。为了有效解决这个问题,我们将其转换为等同的一个,然后采用迭代和子问题分解,以获得每个优化变量的最佳解决方案,即块放置,功率分配和高速缓存共享变量。数值结果表明,与传统的地面方案相比,我们的合作传输方案在交通卸载和能效方面实现了显着的性能改善,特别是在高要求一致性的环境中。

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