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A Green Traffic Steering Solution for Next Generation Communication Networks

机译:下一代通信网络的绿色交通转向解决方案

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In recent years, green communications and networks have drawn increasing attention from researchers and relevant industries owing to their economic and environmental benefits. In mobile networks, base stations (BSs) account for 56% of network power consumption. Hence, using green technologies in base stations would have a considerable impact on service providers' energy bills. Consequently, researchers have investigated various green communication techniques. In this paper, we introduce a new traffic steering technique for energy conservation in next generation communication networks. By leveraging spectrum-based cell zooming techniques, the long-term evolution licensed assisted access (LTE-LAA) concept and software defined radio technology, we introduce a green traffic-steering framework that endeavors to minimize overall network on-grid power consumption and maximize aggregated throughput. Considering the time complexity of the optimum solution, we also propose a heuristic solution. We examine the proposed solution against existing solutions, and our obtained results show that the proposed framework saves up to 15% of on-grid power and increases aggregated throughput by 23%.
机译:近年来,由于经济和环境效益,绿色通信和网络越来越多地引起了研究人员和相关行业的关注。在移动网络中,基站(BSS)占网络功耗的56%。因此,在基站中使用绿色技术将对服务提供商的能源票据产生相当大的影响。因此,研究人员研究了各种绿色通信技术。在本文中,我们介绍了一种新的交通转向技术,用于下一代通信网络中的节能。通过利用基于频谱的细胞缩放技术,长期演进许可辅助访问(LTE-LAA)概念和软件定义的无线电技术,我们介绍了绿色的交通指导框架,使得能够尽量减少整体网络上的电网功耗并最大限度地提高聚合吞吐量。考虑到最佳解决方案的时间复杂性,我们还提出了一种启发式解决方案。我们研究了对现有解决方案的提议解决方案,我们获得的结果表明,该框架可节省高达15%的单网电源,并将占总吞吐量提高23%。

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