Transmission solutions and architectures for heterogeneous networks built as C-RANs

Ghebretensae, Zere; Laraqui, Kim; Dahlfort, Stefan; Ponzini, F.; Giorgi, L.; Stracca, Stefano; Chen, Jingjing; Li, Yinggang; Hansryd, Jonas; Pratt, Andrew R.

doi:10.1109/chinacom.2012.6417583

Cited by 28 publications

(22 citation statements)

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“…Ericsson Beijing proved their concept of connecting LTE RRH and BBU using WDM-PON and the microwave E-band link, as described in [60]. This proves the novel transport network concept, that can be used for C-RAN.…”

Section: B C-ran Prototypementioning

confidence: 99%

“…Such a WDM-OFDMA UniPON architecture is proposed and examined in [65], and a second one, based on WDM-PON in [60]. In [60], referenced also in section V-A2, Ghebretensae et al propose an end-to-end transport network solution based on Dense WDM(-PON) colorless optics, which supports load balancing, auto configuration and path redundancy, while minimizing the network complexity. In [66] …”

Section: B Transport Networkmentioning

confidence: 99%

“…In [60] Ghebretensae et al propose to use E-band microwave transmission in (70/80 GHz) between BBU Pool and RRH. They proved that E-band microwave transmission can provide Gbps capacity, using equipment currently available commercially (2012) on the distance limited to 1-2 km to assure 99.999% link availability and 5-7 km when this requirement is relaxed to 99.9% availability.…”

Section: Transport Network Techniquesmentioning

confidence: 99%

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Cloud RAN for Mobile Networks—A Technology Overview

Checko¹,

Christiansen

Yan

et al. 2015

IEEE Commun. Surv. Tutorials

1,417

917

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Abstract-Cloud Radio Access Network (C-RAN) is a novel mobile network architecture which can address a number of challenges the operators face while trying to support growing end-user's needs. The main idea behind C-RAN is to pool the Baseband Units (BBUs) from multiple base stations into centralized BBU Pool for statistical multiplexing gain, while shifting the burden to the high-speed wireline transmission of In-phase and Quadrature (IQ) data. C-RAN enables energy efficient network operation and possible cost savings on baseband resources. Furthermore, it improves network capacity by performing load balancing and cooperative processing of signals originating from several base stations. This article surveys the state-of-the-art literature on C-RAN. It can serve as a starting point for anyone willing to understand C-RAN architecture and advance the research on C-RAN.

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Section: B C-ran Prototypementioning

confidence: 99%

Section: B Transport Networkmentioning

confidence: 99%

Section: Transport Network Techniquesmentioning

confidence: 99%

See 1 more Smart Citation

Cloud RAN for Mobile Networks—A Technology Overview

Checko¹,

Christiansen

Yan

et al. 2015

IEEE Commun. Surv. Tutorials

1,417

917

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“…In this paradigm, CoMP is the key to enable increased spectral resource usage as shown in Fig. 1 [12]- [13]. Nevertheless, this gain is expected to be harvested at the cost of high-capacity optical fibre fronthaul links (also  An uplink CoMP framework incorporating capacity-limited multiple fronthaul links is considered, which can be easily employed in the C-RAN architecture;  Under the proposed framework, distributed Wyner-Ziv compression is employed and optimized to maximize user rate with limited fronthaul capacity.…”

Section: Introductionmentioning

confidence: 99%

“…One of the ways to improve the spectral efficiency of the system and mitigate the adverse effect of the huge interference is the use of advanced Coordinated Multi-Point (CoMP) topologies among the SCs in order to combat the generated interference using interference management or interference alignment-based transmission solutions [6]- [8]. Figure. 1 A C-RAN Architecture with wireless front/fronthaul links As one of the most promising potential solutions to efficiently conduct inter-cell coordination, Cloud radio access network (C-RAN) recently attracted a great deal of attention [7]- [13]. C-RAN consists of a large number of spatially separated SCs and a centralized data processing centre as shown in Fig.…”

Section: Introductionmentioning

confidence: 99%

Fronthaul data compression for Uplink CoMP in cloud radio access network (C‐RAN)

Shakir

Imran

et al. 2016

Trans. Emerging Tel. Tech.

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The design of efficient wireless fronthaul connections for future heterogeneous networks incorporating emerging paradigms such as cloud radio access network (C-RAN) has become a challenging task that requires the most effective utilization of fronthaul network resources. In this paper, we propose to use distributed compression to reduce the fronthaul traffic in uplink Coordinated Multi-Point (CoMP) for C-RAN. Unlike the conventional approach where each coordinating point quantizes and forwards its own observation to the processing centre, these observations are compressed before forwarding. At the processing centre, the decompression of the observations and the decoding of the user message are conducted in a successive manner.The essence of this approach is the optimization of the distributed compression using an iterative algorithm to achieve maximal user rate with a given fronthaul rate. In other words, for a target user rate the generated fronthaul traffic is minimized. Moreover, joint decompression and decoding is studied and an iterative optimization algorithm is devised accordingly. Finally, the analysis is extended to multi-user case and our results reveal that, in both dense and ultra-dense urban deployment scenarios, the usage of distributed compression can efficiently reduce the required fronthaul rate and a further reduction is obtained with joint operation. Index TermsHeterogeneous network (HetNet), fronthaul, uplink Coordinated Multi-Point (CoMP), cloud radio access network (C-RAN), distributed compression. I INTRODUCTIONThe astronomical growth in mobile data traffic volume is making it increasingly difficult for operators to meet the traffic demands with the available resources and network architecture. This remarkable growing momentum of improving the quality of experience of the users will most likely continue due to the emerging needs of connecting people, machines, and applications through mobile infrastructure. Extrapolation of current growth trend predicts that the future networks are required to be prepared to support up to a thousand fold increase in total mobile broadband traffic by 2020 [1]. In light of this trend, heterogeneous network (HetNet), where small cells (SCs) are deployed to provide improved coverage and capacity to highly concentrated users, is envisaged as one of the key solutions to economic and sustainable future networks [2]- [4]. However, each added small cell has a profound effect on overall network performance, both with the increased capacity it brings as well as the large amount of co-channel interference it generates when sharing the same frequency [5]. One of the ways to improve the spectral efficiency of the system and mitigate the adverse effect of the huge interference is the use of advanced Coordinated Multi-Point However, in these works the coordinating SCs are assumed to simply quantize their own received signals before forwarding them to the processing centre via the fronthaul links.Considering the fact that the observations of all coordinating cells...

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