Compressed Transport of Baseband Signals in Radio Access Networks

Samardžija, Dragan; Pastalan, J.; MacDonald, Michael B.; Walker, S.D.; Valenzuela, R.A.

doi:10.1109/twc.2012.062012.111359

Cited by 82 publications

(50 citation statements)

References 14 publications

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“…Samardzija et al from Bell Laboratories propose an algorithm [76] which reduces transmission data rates. It removes redundancies in the spectral domain, performs block scaling, and uses a non-uniform quantizer.…”

Section: Iq Compression Schemes and Solutionsmentioning

confidence: 99%

“…Compression of 33% is achieved by all the algorithms for which the ratio was available. The best result, where the algorithm is known, is achieved by [76] and by [79] under small network load.…”

Section: Iq Compression Schemes and Solutionsmentioning

confidence: 99%

“…[6], [10], [75], [76], [77], [78], [79], [80] Moving towards software -virtualization solutions 1) Various works on network, resource and hardware virtualization in wireless communication is relevant for BBU Pool virtualization in C-RAN. By means of 2) NFV and 3) SDN benefits can be further leveraged.…”

Section: B C-ran Prototypementioning

confidence: 99%

See 2 more Smart Citations

Cloud RAN for Mobile Networks—A Technology Overview

Checko¹,

Christiansen

Yan

et al. 2015

IEEE Commun. Surv. Tutorials

1,403

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: Iq Compression Schemes and Solutionsmentioning

confidence: 99%

Section: Iq Compression Schemes and Solutionsmentioning

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

1,403

917

View full text Add to dashboard Cite

show abstract

“…up to 50%). The trade-off for this benefit is increased processing latency, which can be on the order of tens of microseconds [10]. Given that the total latency budget projections are 100-150s for future optical fronthaul systems [11], tens of s is a significant fraction.…”

Section: A Massive Mimo  Beyond Cprimentioning

confidence: 99%

Optical network evolution for 5G mobile applications and SDN-based control

Cvijetic¹

2014

2014 16th International Telecommunications Network Strategy and Planning Symposium (Networks)

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The tight connection between advanced mobile techniques and optical networking has already been made by emerging cloud radio access network architectures, wherein fiber-optic links to/from remote cell sites have been identified as the leading high-speed, low-latency connectivity solution. By taking such fiber-optic mobile fronthaul networks as the reference case, this paper will consider their scaling to meet 5G demands as driven by key 5G mobile techniques, including massive multiple input multiple output (MIMO) and coordinated multipoint (CoMP), network densification via small/pico/femto cells, device-to-device (D2D) connectivity, and an increasingly heterogeneous bring-your-own-device (BYOD) networking environment. Ramifications on mobile fronthaul signaling formats, optical component selection and wavelength management, topology evolution and network control will be examined, highlighting the need to move beyond raw common public radio interface (CPRI) solutions, support all wavelength division multiplexing (WDM) optics types, enable topology evolution towards a meshed architecture, and adopt a softwaredefined networking (SDN)-based network control plane. The proposed optical network evolution approaches are viewed as opportunities for both optimizing user-side quality-of-experience (QoE) and monetizing the underlying optical network.

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“…CPRI link compression techniques commonly found in the literature are based on scalar quantization (SQ) [5]- [8], often with block scaling before quantization to adjust for the dynamic range of samples to be quantized. For LTE networks, time-domain LTE OFDM I/Q samples are carried over CPRI links.…”

Section: Introductionmentioning

confidence: 99%

A Vector Quantization Based Compression Algorithm for CPRI Link

Si¹,

Ng²,

Rahman³

et al. 2014

2015 IEEE Global Communications Conference (GLOBECOM)

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The future wireless networks, such as Centralized Radio Access Network (C-RAN), will need to deliver data rate about 100 times to 1000 times the current 4G technology. For C-RAN based network architecture, there is a pressing need for tremendous enhancement of the effective data rate of the Common Public Radio Interface (CPRI). Compression of CPRI data is one of the potential enhancements. We introduce a vector quantization based compression algorithm for CPRI links, utilizing Lloyd algorithm. Methods to vectorize the I/Q samples and enhanced initialization of Lloyd algorithm for codebook training are investigated for improved performance. Multi-stage vector quantization is considered to reduce codebook search complexity. Simulation results show that our solution can achieve compression of 4 times for uplink and 4.5 times for downlink, within 2% Error Vector Magnitude (EVM) distortion. Remarkably, vector quantization codebook proves to be quite robust against data modulation mismatch, fading, signal-to-noise (SNR) and Doppler spread.

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Compressed Transport of Baseband Signals in Radio Access Networks

Cited by 82 publications

References 14 publications

Cloud RAN for Mobile Networks—A Technology Overview

Cloud RAN for Mobile Networks—A Technology Overview

Optical network evolution for 5G mobile applications and SDN-based control

A Vector Quantization Based Compression Algorithm for CPRI Link

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