Low-Latency C-RAN: An Next-Generation Wireless Approach

Abstract

Abstract-Cloud radio access networking (C-RAN) constitutes a promising architecture for next-generation systems. Beneficial centralized signal processing techniques can be realized under the C-RAN architecture. Furthermore, given the recent rapid development of cloud computing, the C-RAN architecture is an ideal platform for supporting network function virtualization (NFV), software-defined networking (SDN) and artificial intelligence (AI). However, most of the existing contributions on C-RAN are mainly focused on the physical layer issues. The nextgeneration networks are expected to support compelling wireless applications satisfying diverse delay requirements, such as ultrareliable and low-latency communications (URLLC), etc. Hence, we invoke the effective capacity theory for statistical delaybounded QoS provision in C-RAN architectures, where the delay is taken into account. Based on the system model proposed, we conceive sophisticated power allocation schemes for maximizing the effective capacity of both single-user and multi-user scenarios. Our simulation results show that a low delay outage probability can be guaranteed by appropriately choosing the delay exponent. Furthermore, our simulation results demonstrate that the proposed algorithm significantly outperforms the existing algorithms in terms of the achievable effective capacity. Finally, some open research challenges are highlighted.

Analogue Wireless Beamforming Exploiting the Fiber-Nonlinearity of Radio Over Fiber-Based C-<roman>RANs</roman>

“…Furthermore, a 10 Gbps QPSK signal transmitted in the downlink of a C-RAN system implementing our HNLF aided beamforming scheme was characterized, where the BER performance shows only a modest degradation compared to that using additionally conventional electronic phase-shifters. Furthermore, future work can be focused on the C-RAN's response time and sum-rate, as addressed [46].…”

A Fog Computing-Based Device-Driven Mobility Management Scheme for 5G Networks

“…In Ref. [22], the authors proposed a cloud radio access network (C-RAN) based framework by exploring the recent rapid development of cloud computing and cloud-network. They claimed suggested architecture is an ideal platform to support network function virtualization (NFV), software-defined networking (SDN), and artificial intelligence (AI) for 5G networks.…”

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