Ericsson (Spain)

<div>\n<div>\n<div>\n<p>The evolution of mobile networks is converging with the pervasive digitalization of the industrial/ manufacturing sector, which is demanding highly reliable and deterministic wireless networking. The performance levels of wireless networks are greatly enhanced from one generation to the next, but the variability of performance, especially with regards to latency, remains an issue to be addressed since most protocols and solutions are designed with the assumption that underlying networks shall deliver performance levels with very low variability, as it is the case, for example, of Ethernet networks. In this work, we address this critical issue, proposing and validating a novel solution approach for achieving effective de-jittering in 3GPP networks that does not require the modification of the end-user traffic (e.g. timestamping), thus enabling its implementation on current 5G networks without demanding special UEs or new 5GS capabilities. This solution approach is validated over a real 5G network deployed at 5Tonic laboratory.</p>\n</div>\n</div>\n</div>

Multiplexed Application Substrate over QUIC Encryption (MASQUE) is a new protocol mechanism that defines an extension to the HTTP CONNECT to support QUIC-based tunneling to a proxy and forwarding of UDP and IP traffic. MASQUE can be used in cases where tunneling is beneficial such as VPN-like scenarios or other proxy-based services. In this paper we investigate impacts on end-to-end QUIC performance when using a MASQUE-based tunnel setup. In particular, we investigate the impacts of reliable versus unreliable transmission of packets in the tunnel connection, as well as the impacts of nested congestion control between the inner connection and the out tunnel connection. We show that tunneling implies per-packet overhead but can also provide additional performance benefits, e.g. for lossy local links.

In a cellular network, signaling and data messages exchanged between network elements are an extremely valuable information for network optimization. The consideration of different types of information allows to improve the optimization results. However, the huge amount of information has made it very difficult for operators to process all the available information. To cope with this issue, in this paper, a methodology for processing cell and user connection traces to optimize a live cellular network is presented. The aim is to generate new performance indicators different from those supplied by manufacturers, taking advantage of the ability of complex event processing tools to correlate events of different nature. For illustrative purposes, an example of how a new performance indicator is created from real traces by complex event processing is given.

<p>This white paper describes the basic procedures that must be followed when vertical sector oriented projects of the 5G PPP plan to use the 5G PPP infrastructure project services. For each of the infrastructure projects this paper informs - among others - about how to interact with the infrastructure, what information is needed for running experiments, what output and how is provided, as well as what are the future plans of each infrastructure project for the longer term support of vertical applications.</p>

This paper considers Multiple Input Multiple Output (MIMO) downlink scheduling procedure in Long Term Evolution (LTE) cellular networks. In particular, the relationship between Channel Quality Indicator (CQI) and MIMO utilization in LTE Frequency Division Duplex (FDD) systems was examined using the statistical analysis. Data was collected from mature mobile network deployed in typical frequency bands for LTE FDD used in Europe - Band 3, Band 7 and Band 20. Obtained numerical results showed the significant correlation between reported CQI value and MIMO utilization.

The current trend in the management of mobile communication networks is to increase the level of automation in order to enhance network performance while reducing Operational Expenditure (OPEX). In this context, the 3rd Generation Partnership Project (3GPP) has presented different solutions. On the one hand, Self-Organizing Networks (SON) include self-healing capabilities, which allow operators to automate their troubleshooting tasks in order to identify and solve the problems of the network. On the other hand, the use of mobile traces or Minimization of Drive Tests (MDT) are proposed to automate the collection of user's measurements and signalling messages. This paper proposes to combine both solutions, SON and traces, with the purpose of quickly detecting and solving issues related to the radio interface. That is, the user information gathered by the cell traces function is used to perform an automatic diagnosis of the RF condition of each cell. In addition, the proposed approach allows to precisely locate RF problems based on the assessment of the RF condition. Mobile traces constitute large sets of data, whose analysis requires the application of big-data analytics techniques. The proposed system has been evaluated in two different live LTE networks, demonstrating its validity and utility.

A computationally efficient self-planning algorithm for adjusting base station transmit power in a LTE system on a cell-by-cell basis is presented. The aim of the algorithm is to improve the overall network spectral efficiency in the downlink by reducing the transmit power of specific cells to eliminate interference problems. The main driver of the algorithm is a new indicator that predicts the impact of changes in the transmit power of individual cells on the overall network Signal to Interference plus Noise Ratio (SINR) for the downlink. Algorithm assessment is carried out over a static system-level simulator implementing a live LTE network scenario. During assessment, the proposed algorithm is compared with a state-of-the-art self-planning algorithm based on the modification of antenna tilt angles. Results show that the proposed algorithm can improve both network coverage and capacity significantly compared to other automatic planning methods.

This chapter contains sections titled: The Challenge of Mobile Traffic Growth Capacity and Coverage Crunch Meeting the Challenge – the Network Operator Toolkit Self-Organizing Networks (SON) Summary and Book Contents References

This chapter contains sections titled: Providing Audible Announcements Communication Diversion (CDIV) and Communication Forwarding Communication Diversion Notification (CDIVN) Conference (CONF) Message Waiting Indication (MWI) Originating Identification Presentation/Restriction (OIP, OIR) Terminating Identification Presentation/Restriction (TIP, TIR) Anonymous Communication Rejection (ACR) and Communication Barring (CB) Advice of Charge (AoC) Completion of Communications to Busy Subscriber (CCBS) and Completion of Communications on No Reply (CCNR) Malicious Communication Identification (MCID) Communication Hold (HOLD) Explicit Communication Transfer (ECT) User Settings in PSTN/ISDN Simulation Services

This chapter contains sections titled: Architecture for Supporting Emergency Calls in IMS Establishing an Emergency Call in IMS IMS Registration for Emergency Calls Call Back from the PSAP to a User Anonymous Calls Emergency Calls in Fixed Broadband Accesses