Due to the deluge of data driven largely by smartphones and tablets, it is urgent to put into agenda the upgrade of the current 3G/4G wireless networks to a future 5G network with a thousand times increase of throughput. One promising candidate solution to fulfill the above throughput requirement is cloud radio access network (C-RAN), which was initially proposed by China Mobile.
As shown in the figure, unlike the base stations (BSs) in conventional cellular networks which encode/decode users’ messages locally, the relay-like remote radio heads (RRHs) in C-RAN are connected to a central unit (CU) via high-speed fronthaul links, e.g., fiber, and thus can serve mobile users cooperatively under the coordination of CU.
Despite the centralized processing architecture, the practically achievable throughput of C-RAN is significantly constrained by the fronthaul links between the CU and RRHs. According to China Mobile's recent report, the fronthaul traffic generated from a single user signal of MHz bandwidth could be easily scaled up to multiple Gbps. In practice, a commercial fiber link with tens of Gbps capacity could thus be easily overwhelmed even under moderate mobile traffic.
I have been working on practical fronthaul compression/quantization techniques, e.g., uniform scalar quantization, to improve the end-to-end performance of C-RAN. We hope that our research can lead to efficient design of C-RAN in the forthcoming era of 5G.
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