Energy Efficient Policy for Cloud Radio Access Network
Di Zhang, Zhenyu Zhou, Keping Yu, Takuro Sato

TL;DR
This paper proposes a modified Cloud Radio Access Network structure that incorporates comprehensive energy consumption factors and introduces an efficient sleeping mechanism, optimizing energy efficiency in 5G networks.
Contribution
It presents a new C-RAN model with an easier layout for sleeping mechanisms and formulates an optimization problem to improve energy efficiency considering more real-world elements.
Findings
Enhanced energy efficiency through the proposed sleeping mechanism.
Better performance compared to prior models due to comprehensive element consideration.
Simplified layout facilitates practical implementation.
Abstract
Energy Efficiency (EE) is a big issue in 5th Generation Wireless Communications (5G) on condition that the number of access User Equipments (UEs) are exploding and more antennas should be equipped in one Base Station (BS). In EE studies, prior literatures focus on the energy consumption of single separated BS coverage area or through scheduling mechanism or network coding method. But some other elements are ignored in those literatures, such as the energy consumption of machine room, circuit, etc. In this paper, to be more closer to the reality, based on the Cloud Radio Access Network (C-RAN), we modify its traditional structure for easier layout of sleeping mechanism in the real world, study the EE issue within a comprehensive view while taking more elements into consideration. We modified the traditional C-RAN structure with the purpose of much easily adopting the sleeping mechanism…
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Taxonomy
TopicsAdvanced MIMO Systems Optimization · Cooperative Communication and Network Coding · Advanced Wireless Network Optimization
