Physical layer split for user selective uplink joint reception in SDN enabled cloud-RAN

Boviz, Dora; Aravinthan, Gopalasingham; Chen, Chung Shue; Roullet, Laurent

doi:10.1109/ausctw.2016.7433654

Cited by 8 publications

(8 citation statements)

References 19 publications

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“…We use multi-cell joint scheduling for interfering UEs, so they transmit on the same frequency resource and their signals can be detected in the BBU-pool with conventional MIMO detection on the signals received by two (or more) RRHs. By slightly increasing transmit power, the same error rate as in the interference-free case is reached by using two times less resources [12].…”

Section: Network and Protocols Design 1) Cooperative Signal Procesmentioning

confidence: 53%

Enhancing LTE with Cloud-RAN and Load-Controlled Parasitic Antenna Arrays

Artuso

Boviz

Checko³

et al. 2016

IEEE Commun. Mag.

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-Cloud radio access network (C-RAN) systems consisting of remote radio heads (RRHs) densely distributed in a coverage area and connected by optical fibers to a cloud infrastructure with large computational capabilities, have the potential to meet the ambitious objectives of next generation mobile networks. Actual implementations of C-RANs tackle fundamental technical and economic challenges. In this article, we present an end-to-end (E2E) solution for practically implementable C-RANs by providing innovative solutions to key issues such as the design of cost-effective hardware and powereffective signals for RRHs, efficient design and distribution of data and control traffic for coordinated communications and conception of a flexible and elastic architecture supporting dynamic allocation of both the densely distributed RRHs and the centralized processing resources in the cloud to create virtual base-stations (BSs). More specifically, we propose a novel antenna array architecture called load-controlled parasitic antenna array (LCPAA) where multiple antennas are fed by a single RF chain. Energy and spectral-efficient modulation as well as signaling schemes that are easy to implement are also provided. Additionally, the design presented for the fronthaul (FH) enables flexibility and elasticity in resource allocation to support BS virtualization. A layered-design of information control for the proposed E2E solution is presented.The feasibility and effectiveness of such LCPAA-enabled C-RAN system setup has been validated through an over-the-air (OTA) demonstration.

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Section: Network and Protocols Design 1) Cooperative Signal Procesmentioning

confidence: 53%

Enhancing LTE with Cloud-RAN and Load-Controlled Parasitic Antenna Arrays

Artuso

Boviz

Checko³

et al. 2016

IEEE Commun. Mag.

Self Cite

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“…Please note that some of the references for this section are placed here due to estimated locations of the split, where option 7-3 was found most suitable. [5], [12], [29], [30], [31], [32], [36], [37], [38], [44], [47], [48], [49], [86] Simulations: [53], [58], [61], [73], [75], [87], [88], [89] Practical experiments: [90] In this split the scrambling, modulation and layer mapper are included in the DU, this gives a significant lower bitrate on the fronthaul link, particularly because the signal is modulated. During the modulation the bitrate is reduced because several bits (depending on the modulation order) are assigned to each symbol.…”

Section: E Option 7-3: High Phymentioning

confidence: 99%

“…Compared to option 6, and using MWR fronthaul then a lower throughput perceived by users, is obtained using split 7-3. [87] investigates split option 7-3 as an enabler for CoMP, the simulations show that this split can greatly facilitate the implementation of UL CoMP.…”

Section: E Option 7-3: High Phymentioning

confidence: 99%

A Survey of the Functional Splits Proposed for 5G Mobile Crosshaul Networks

Larsen

Checko²,

Christiansen

2019

IEEE Commun. Surv. Tutorials

327

211

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Pacing the way towards 5G has lead researchers and industry in the direction of centralized processing known from Cloud-Radio Access Networks (C-RAN). In C-RAN research, a variety of different functional splits is presented by different names and focusing on different directions. The functional split determines how many Base Station (BS) functions to leave locally, close to the user, with the benefit of relaxing fronthaul network bitrate and delay requirements, and how many functions to centralize with the possibility of achieving greater processing benefits. This work presents for the first time a comprehensive overview systematizing the different work directions for both research and industry, while providing a detailed description of each functional split option and an assessment of the advantages and disadvantages. This work gives an overview of where the most effort has been directed in terms of functional splits, and where there is room for further studies. The standardization currently taking place is also considered and mapped into the research directions. It is investigated how the fronthaul network will be affected by the choice of functional split, both in terms of bitrates and latency, and as the different functional splits provide different advantages and disadvantages, the option of flexible functional splits is also looked into.

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“…Extensive CRAN studies have demonstrated the advantages and challenges of conducting the LTE physical layer baseband processing in the BBU [23]- [29]. The high transmission bitrate requirements for transporting the time-domain I/Q samples produced by the baseband processing at the BBU to the RRU have spurred research on fronthaul transport strategies, see e.g., [30]- [32], and alternative function splits between BBU and RRU [8], [33]- [42]. Complementary to this extensive research, which has examined cellular wireless access in an isolated manner and typically considered abstract models for the fronthaul between BBU and RRU, we propose to unify cable and wireless access networks.…”

Section: Related Workmentioning

confidence: 99%

R-FFT: Function Split at IFFT/FFT in Unified LTE CRAN and Cable Access Network

Thyagaturu

Alharbi

Reisslein

2018

IEEE Trans. on Broadcast.

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The Remote-PHY (R-PHY) modular cable network for Data over Cable Service Interface Specification (DOCSIS) service conducts the physical layer processing for the transmissions over the broadcast cable in a remote node. In contrast, the cloud radio access network (CRAN) for Long-Term Evolution (LTE) cellular wireless services conducts all baseband physical layer processing in a central baseband unit and the remaining physical layer processing steps towards radio frequency (RF) transmission in remote nodes. Both DOCSIS and LTE are based on Orthogonal Frequency Division Multiplexing (OFDM) physical layer processing. We propose to unify cable and wireless cellular access networks by utilizing the hybrid fiber-coax (HFC) cable network infrastructure as fiber fronthaul network for cellular wireless services. For efficient operation of such a unified access network, we propose a novel Remote-FFT (R-FFT) node that conducts the physical layer processing from the Fast-Fourier Transform (FFT) module towards the RF transmission, whereby DOCSIS and LTE share a common FFT module. The frequency domain in-phase and quadrature (I/Q) symbols for both DOCSIS and LTE are transmitted over the fiber between remote node and cable headend, where the remaining physical layer processing is conducted. We further propose to cache repetitive quadrature amplitude modulation (QAM) symbols in the R-FFT node to reduce the fronthaul bitrate requirements and enable statistical multiplexing. We evaluate the fronthaul bitrate reductions achieved by R-FFT node caching, the fronthaul transmission bitrates arising from the unified DOCSIS and LTE service, and illustrate the delay implications of moving part of the cable R-PHY remote node physical layer processing to the headend. Overall, our evaluations indicate that the proposed R-FFT node can effectively support unified DOCSIS and LTE services over the HFC cable plant while substantially reducing the fronthaul bitrate requirements of the existing CRAN structures.

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Physical layer split for user selective uplink joint reception in SDN enabled cloud-RAN

Cited by 8 publications

References 19 publications

Enhancing LTE with Cloud-RAN and Load-Controlled Parasitic Antenna Arrays

Enhancing LTE with Cloud-RAN and Load-Controlled Parasitic Antenna Arrays

A Survey of the Functional Splits Proposed for 5G Mobile Crosshaul Networks

R-FFT: Function Split at IFFT/FFT in Unified LTE CRAN and Cable Access Network

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