RAN enablers for 5G radio resource management

  • Arnold P.
  • Belschner J.
  • Bulakci Ö.
  • Calochira G.
  • Ericson M.
  • Gutierrez-Estevez D.
  • Pateromichelakis E.
  • Prasad A.

This paper presents the description of several key RAN enablers for the radio resource management (RRM) framework of the fifth generation (5G) radio access network (RAN), referred to as building blocks of the 5G RRM. In particular, the following key RAN enablers are discussed: i) interference management techniques for dense ...

An overview of standardization efforts for enabling vehicular-to-everything services

  • Husain S.
  • Kunz A.
  • Prasad A.
  • Samdanis K.
  • Song J.

The Third Generation Partnership Project (3GPP) has been working on developing specifications on Machine to Machine Communications (M2M) and on the emerging Internet of Things (IoT) bringing light into the associated service and network requirements. This paper presents a special form of M2M/IoT communication, where at least one communication device ...

Isolation optimization technique for 5G RF cavity

Electromagnetic cavity shielding in RF circuit design is a vital part of electromagnetic compatibility and signal integrity. For 4G frequencies this is relatively easy to achieve as the cavity size tends to be small compared to the wavelength. In 5G technology, where carrier frequencies are in very high frequencies (e.g. ...

Distributed Transmission and Spatially-Coupled Coding in Multi-Point to Point Networks

  • Buchali F.
  • Eriksson T.
  • Gebhard U.
  • Schmalen L.

We investigate the performance of coded modulation for multi-hop regenerative optical networks. We analyze various simplifications to compute LLRs, compute the achievable rates and show how to optimize distributed spatially coupled FEC schemes.

Compressive Sensing via Convolutional Factor Analysis

  • Jiang H.
  • Wilford P.
  • Yuan X.

We solve the compressive sensing problem via the convolutional dictionary learning. We develop an alternating direction method of multipliers (ADMM) paradigm for compressive inversion. The proposed algorithm can provide the reconstructed images as well as the features, which can be directly used for classification or clustering tasks. A joint compressive ...

Could the Transformation to Cloud-Optimized Networking be Opening a New Era for Dynamic Optical Networking?

  • Sparks K.

Poised to elevate the automated digital economy, new high performance global-scale applications will leverage distributed clouds, network programmability and multi-operator federation. Effective realizations require cohesive multi-layer management of agile reusable resources, driving the necessity for a dynamic optical networking foundation.

Components For Space-Division Multiplexing

  • Fontaine N.

Amplifiers, spatial multiplexers, and routing elements that exploit spatial integration will reduce costs and complexity of future space-division multiplexed transmission systems. Managing spatial modes requires new components such as mode multiplexers, mixers, equalizers, and unscramblers.

TWDM PON Preamble Engineering for Mitigation of a DFB Turn-On Blue-Shift in Burst-Mode Operation

  • Borkowski R.
  • Pfeiffer T.
  • Poehlmann W.

We demonstrate two new schemes for DFB optical frequency drift reduction up to 13-GHz, which address issues of previously described methods. Density increase scheme requires only modification of digital data in the preamble and is therefore well-suited for product implementation.

Demonstration of 50 Gbps IM/DD PAM4 PON over 10 GHz Class Optics Using Neural Network Based Nonlinear Equalization

  • Feng H.
  • Huang X.
  • Ye C.
  • Zhang K.
  • Zhang D.

We apply digital back propagation based neural network regression algorithms as the nonlinear equalization approach, and realize up to 50Gbps PAM4 IM-DD PON using 10GHz optics with an overall end-to-end 3.6GHz 3-dB bandwidth.

Fiber Nonlinearity Mitigation in WDM Systems: Strategies and Achievable Rates

After reviewing models and mitigation strategies for interchannel nonlinearity, the synergic effect of symbol-rate optimization and phase-noise compensation is investigated. This effect can be practically exploited for nonlinearity mitigation and for the computation of capacity lower bounds.

Predicting the maximum endurance time for left-side bridge exercise using machine learning methods and hybrid data

This study was carried out with the intention to create new models to predict the maximum endurance time for the left-side bridge exercise using machine learning methods and hybrid data. Particularly, four different methods including Multilayer Feed-Forward Artificial Neural Network (MFANN), Generalized Regression Neural Network (GRNN), Radial Basis Function Neural ...

A machine learning-based framework for preventing video freezes in HTTP adaptive streaming

  • Bostoen T.
  • De Turck F.
  • Huysegems R.
  • Petrangeli S.
  • Wauters T.
  • Wu T.

HTTP Adaptive Streaming (HAS) represents the dominant technology to deliver videos over the Internet, due to its ability to adapt the video quality to the available bandwidth. Despite that, HAS clients can still suffer from freezes in the video playout, the main factor influencing users' Quality of Experience (QoE). To ...

Hamiltonian system approach to distributed spectral decomposition in networks

  • Avrachenkov K.
  • Jacquet P.
  • Sreedharan J.

Because of the significant increase in size and complexity of the networks, the distributed computation of eigenvalues and eigenvectors of graph matrices has become very challenging and yet it remains as important as before. In this paper we develop efficient distributed algorithms to detect, with higher resolution, closely situated eigenvalues ...

Hamiltonian System Approach to Distributed Spectral Decomposition in Networks

  • Avrachenkov K.
  • Jacquet P.
  • Sreedharan J.

Because of the significant increase in size and complexity of the networks, the distributed computation of eigenvalues and eigenvectors of graph matrices has become very challenging and yet it remains as important as before. In this paper we develop efficient distributed algorithms to detect, with higher resolution, closely situated eigenvalues ...

Feeding back the result of a workflow-driven process to its design with a single Path-Colored flow diagram

  • Daenen K.

An initial analysis of the flows of the self-care portal of a telecom service provider revealed that most consumers did not follow the process to a conclusive end. The percentage of consumers that abandoned the process, was too high to believe they all resolved their problem. A high number of ...

Reverberation chambers for testing LTE wireless communication systems

Reverberation chambers are successfully adopted to test last generation wireless communication systems. The aim is the replication of realistic propagation condition in outdoor and indoor situations where the multipath contribution statistically overlaps to the direct path between the base station and the user terminal. The insertion of quantified absorbing materials ...

Compact 60GHz Lens Antenna with Self-Alignment Feature for Small Cell Backhaul.

  • Doumanis E.
  • Gimersky M.
  • Gueye M.
  • Kozlov Dmitry
  • Pivit F.

In this paper we present a highly compact and lowcost antenna solution based on a rexolite-lens and a waveguide horn array feed for operation at 60GHz. The antenna is targeted for applications in point-to-point backhaul systems for Small Cell mobile access networks and features a beamforming capability for self-alignment for ...

A 20Gbps 1.2GHz Full-Duplex integrated AFE in 28nm CMOS for copper access

  • Cools J.
  • Gurne T.
  • Reynaert P.
  • Strackx M.
  • Tytgat M.

A 28nm CMOS 1.2GHz full-duplex analog front end (AFE) is presented. The AFE can deliver 20Gbps of symmetric service across 50m of RG6 coax. The on-chip line driver, powered from a 7.2V supply and using core transistors, delivers 5.9Vptp differential to the line through the hybrid. A tunable capacitive hybrid ...

A Multi-objective Heuristic for the Optimization of Virtual Network Function Chain Placement

  • Grigorjew A.
  • Jarschel M.
  • Lange S.
  • Tran-Gia P.
  • Zinner T.

The Network Functions Virtualization (NFV) paradigm offers network operators benefits in terms of cost efficiency, vendor independence, as well as flexibility and scalability. However, in order to profit most from these features, new challenges in the area of management and orchestration of the virtual network functions (VNFs) need to be ...

Raman Fibre Laser Based Amplification in Long-haul/ Unrepeatered Coherent Transmission Systems

  • Ian. D. Phillips
  • Md Asif Iqbal
  • Mingming Tan
  • Paul Harper
  • Pawe³ Rosa
  • Sergei K. Turitsyn
  • Thai Le S.

The paper reviews recent advances of Raman fibre laser (RFL) based amplification techniques in long-haul/unrepeatered coherent transmission systems. Different aspects of theRFL based amplification have been characterised, including signal power distributions and relative intensity noise (RIN). Various RFL based amplifier designs were evaluated in long-haul coherent transmission systems. The results ...