scholarly journals Energy-Efficient Joint Design of Fronthaul and Edge Links for Cache-Aided C-RAN Systems with Wireless Fronthaul

Entropy ◽  
2019 ◽  
Vol 21 (9) ◽  
pp. 860
Author(s):  
Junbeom Kim ◽  
Daesung Yu ◽  
Seung-Eun Hong ◽  
Seok-Hwan Park
Keyword(s):  
Energy Efficient ◽  
Access Network ◽  
Efficient Design ◽  
Joint Design ◽  
Cloud Radio Access Network ◽  
Radio Access ◽  
Hard Information ◽  
Efficient Scheme ◽  
The Impact ◽  
Edge Caching

This work addresses the joint design of fronthaul and edge links for a cache-aided cloud radio access network (C-RAN) system with a wireless fronthaul link. Motivated by the fact that existing techniques, such as C-RAN and edge caching, come at the cost of increased energy consumption, an energy efficiency (EE) metric is defined and adopted as the performance metric for optimization. As the fronthaul links can be used to transfer quantized and precoded baseband signals or hard information of uncached files, both soft- and hard-transfer fronthauling strategies are considered. Extensive numerical results validate the impact of edge caching, as well as the advantages of the energy-efficient design over the spectrally-efficient scheme. Additionally, the two fronthauling strategies—the soft- and hard-transfer schemes—are compared in terms of EE.

scholarly journals Joint Design of Beamforming and Edge Caching in Fog Radio Access Networks

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Wenjing Lv ◽  
Rui Wang ◽  
Jun Wu ◽  
Zhijun Fang ◽  
Songlin Cheng
Keyword(s):  
Access Network ◽  
Taylor Series Expansion ◽  
Joint Design ◽  
Radio Access ◽  
Second Order Cone ◽  
Successive Linear Approximation ◽  
Fog Radio Access Network ◽  
Processing Techniques ◽  
Edge Caching

In this paper, we study a novel transmission framework based on statistical channel state information (SCSI) by incorporating edge caching and beamforming in a fog radio access network (F-RAN) architecture. By optimizing the statistical beamforming and edge caching, we formulate a comprehensive nonconvex optimization problem to minimize the backhaul cost subject to the BS transmission power, limited caching capacity, and quality-of-service (QoS) constraints. By approximating the problem using the l 0 -norm, Taylor series expansion, and other processing techniques, we provide a tailored second-order cone programming (SOCP) algorithm for the unicast transmission scenario and a successive linear approximation (SLA) algorithm for the joint unicast and multicast transmission scenario. This is the first attempt at the joint design of statistical beamforming and edge caching based on SCSI under the F-RAN architecture.

scholarly journals Fronthaul Design for Wireless Networks

2020 ◽  
Vol 10 (14) ◽  
pp. 4754 ◽  
Author(s):  
Ivo Sousa ◽  
Nuno Sousa ◽  
Maria Paula Queluz ◽  
António Rodrigues
Keyword(s):  
Fiber Optics ◽  
Access Network ◽  
Cost Effective ◽  
Weather Conditions ◽  
Communication Technologies ◽  
Space Optics ◽  
Cloud Radio Access Network ◽  
Radio Access ◽  
Network Costs ◽  
The Impact

Cloud Radio Access Network (C-RAN) architectures have arisen as an alternative to traditional wireless network architectures, notably by taking advantage of the functional split between the multiple distributed Remote Radio Heads (RRHs) and the centralized Baseband Units (BBUs), through the creation of a new connectivity segment—the fronthaul. In order to maximize the investment return, it is important to find out, for this C-RAN segment, which technologies provide cost-effective solutions. This paper addresses this issue by evaluating and comparing the performance of Microwave Radio Transmission (MRT), Free Space Optics (FSO), and Fiber Optics (FO) technologies when applied to the fronthaul. First, a methodology is provided to determine the most cost-effective solution for each RRH–BBU link, as well as to compute the required number of BBUs and where they should be positioned in order to minimize the overall network costs. Next, a cost-effectiveness comparison of the aforementioned communication technologies is presented for individual fronthaul segments under different weather conditions, link lengths, and bit rate requirements. Moreover, an assessment is performed regarding the impact of the RRH density on the selection of cost-effective communication technologies for C-RANs. The obtained results allow concluding that fronthaul expenses are significantly affected by the performance of FSO systems, which in turn is affected by weather conditions; this highlights the relevance of having accurate climate statistics and forecasts in order to get the most out of the FSO technology and, consequently, lowering the overall network costs.

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