Investigation On Spectral Efficiency And Latency Optimization Scheme For Cloud-Based Radio Access Networks

Goh, Kevin Yu Han (2019) Investigation On Spectral Efficiency And Latency Optimization Scheme For Cloud-Based Radio Access Networks. Project Report. UTeM, Melaka, Malaysia. (Submitted)

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Abstract

With the adaption of fifth generation (5G) wireless network system in to Industry 4.0, the data transfer efficiency and speed will show a significantly improvement manner by providing a real-time information and solving capacity problem. Cloud-Based Radio Access Network (C-RAN) represents a key technology for 5G wireless network system, where the information processing is centralized to a “cloud” or central unit instead of several base stations. C-RAN is able to increase the spectral efficiency and lower the transmission latency compare to 4G wireless network system. Moreover, the used of C-RAN in future can decrease the capital, operational and maintenance expenses of mobile operator. This study aims to investigate and validate the joint of spectral efficiency and latency optimization in term of power consumption by using quantization process of uplink signal at the remote radio head (RRH) of the C-RAN network. The quantization process is used to convert the received radio frequency signal from user equipment into in-phase and quadrature baseband sample. We proposed a simulation environment-based scheme to compute the uplink power and the number of quantisation bits in a way that the performance of spectral efficiency and latency of the RRHs are simultaneously optimised. Simulation results presented the trade-off ratio between spectral efficiency and latency improvements in term of power consumption.

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