PROJECT TITLE :

Control-Data Separation With Decentralized Edge Control in Fog-Assisted Uplink Communications - 2018

ABSTRACT:

Fog-aided network architectures for 5G systems encompass wireless edge nodes, known as remote radio systems (RRSs), in addition to remote cloud center (RCC) processors, that are connected to the RRSs via a fronthaul access network. RRSs and RCC are operated via network functions virtualization, enabling a flexible split of network functionalities that adapts to network parameters like fronthaul latency and capacity. This Project focuses on uplink communications and investigates the cloud-edge allocation of 2 important network functions, particularly, the control functionality of rate selection and the info-plane function of decoding. Three useful splits are considered: 1) distributed radio access network, in which each functions are implemented during a decentralized approach at the RRSs; a pair of) cloud RAN, in that instead both functions are meted out centrally at the RCC; and 3) a replacement functional split, known as fog RAN (F-RAN), with separate decentralized edge control and centralized cloud information processing. The model underneath study consists of a time-varying uplink channel with fixed scheduling and cell association in that the RCC has international however delayed channel state info due to fronthaul latency, whereas the RRSs have local however a lot of timely CSI. Using the adaptive add-rate because the performance criterion, it is concluded that the F-RAN architecture can offer vital gains in the presence of user mobility.


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