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Robust Baseband Compression Against Congestion in Packet-Based Fronthaul Networks Using Multiple Description Coding

Authors: Seok-Hwan Park; Osvaldo Simeone; Shlomo Shamai (Shitz);

Robust Baseband Compression Against Congestion in Packet-Based Fronthaul Networks Using Multiple Description Coding

Abstract

In modern implementations of Cloud Radio Access Network (C-RAN), the fronthaul transport network will often be packet-based and it will have a multi-hop architecture built with general-purpose switches using network function virtualization (NFV) and software-defined networking (SDN). This paper studies the joint design of uplink radio and fronthaul transmission strategies for a C-RAN with a packet-based fronthaul network. To make an efficient use of multiple routes that carry fronthaul packets from remote radio heads (RRHs) to cloud, as an alternative to more conventional packet-based multi-route reception or coding, a multiple description coding (MDC) strategy is introduced that operates directly at the level of baseband signals. MDC ensures an improved quality of the signal received at the cloud in conditions of low network congestion, i.e., when more fronthaul packets are received within a tolerated deadline. The advantages of the proposed MDC approach as compared to the traditional path diversity scheme are validated via extensive numerical results.

Country
United Kingdom
Keywords

Signal Processing (eess.SP), FOS: Computer and information sciences, Packet-based fronthaul, Science, QC1-999, Computer Science - Information Theory, robust compression, Astrophysics, Article, broadcast coding, FOS: Electrical engineering, electronic engineering, information engineering, ECPRI, Electrical Engineering and Systems Science - Signal Processing, congestion, Physics, Information Theory (cs.IT), Q, Multiple description coding, Robust compression, multiple description coding, 004, QB460-466, Congestion, cloud radio access network, packet-based fronthaul, Cloud radio access network, Broadcast coding, eCPRI

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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