8,250 research outputs found
Fronthaul-Constrained Cloud Radio Access Networks: Insights and Challenges
As a promising paradigm for fifth generation (5G) wireless communication
systems, cloud radio access networks (C-RANs) have been shown to reduce both
capital and operating expenditures, as well as to provide high spectral
efficiency (SE) and energy efficiency (EE). The fronthaul in such networks,
defined as the transmission link between a baseband unit (BBU) and a remote
radio head (RRH), requires high capacity, but is often constrained. This
article comprehensively surveys recent advances in fronthaul-constrained
C-RANs, including system architectures and key techniques. In particular, key
techniques for alleviating the impact of constrained fronthaul on SE/EE and
quality of service for users, including compression and quantization,
large-scale coordinated processing and clustering, and resource allocation
optimization, are discussed. Open issues in terms of software-defined
networking, network function virtualization, and partial centralization are
also identified.Comment: 5 Figures, accepted by IEEE Wireless Communications. arXiv admin
note: text overlap with arXiv:1407.3855 by other author
Sparse Signal Processing Concepts for Efficient 5G System Design
As it becomes increasingly apparent that 4G will not be able to meet the
emerging demands of future mobile communication systems, the question what
could make up a 5G system, what are the crucial challenges and what are the key
drivers is part of intensive, ongoing discussions. Partly due to the advent of
compressive sensing, methods that can optimally exploit sparsity in signals
have received tremendous attention in recent years. In this paper we will
describe a variety of scenarios in which signal sparsity arises naturally in 5G
wireless systems. Signal sparsity and the associated rich collection of tools
and algorithms will thus be a viable source for innovation in 5G wireless
system design. We will discribe applications of this sparse signal processing
paradigm in MIMO random access, cloud radio access networks, compressive
channel-source network coding, and embedded security. We will also emphasize
important open problem that may arise in 5G system design, for which sparsity
will potentially play a key role in their solution.Comment: 18 pages, 5 figures, accepted for publication in IEEE Acces
Performance Evaluation of Multiterminal Backhaul Compression for Cloud Radio Access Networks
In cloud radio access networks (C-RANs), the baseband processing of the
available macro- or pico/femto-base stations (BSs) is migrated to control
units, each of which manages a subset of BS antennas. The centralized
information processing at the control units enables effective interference
management. The main roadblock to the implementation of C-RANs hinges on the
effective integration of the radio units, i.e., the BSs, with the backhaul
network. This work first reviews in a unified way recent results on the
application of advanced multiterminal, as opposed to standard point-to-point,
backhaul compression techniques. The gains provided by multiterminal backhaul
compression are then confirmed via extensive simulations based on standard
cellular models. As an example, it is observed that multiterminal compression
strategies provide performance gains of more than 60% for both the uplink and
the downlink in terms of the cell-edge throughput.Comment: A shorter version of the paper has been submitted to CISS 201
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