0000000000285016

AUTHOR

David Martin-sacristan

0000-0002-7781-557x

showing 8 related works from this author

Multi-Connectivity Management for 5G V2X Communication

2019

With the advent of automated driving functions the need for cooperation among vehicles becomes increasingly necessary. The availability of high quality connectivity is an important factor for successful and uninterrupted cooperative and autonomous services. Flexible selection of available connectivity options, increases the probabilities to achieve and maintain the required Quality of Service (QoS). Future vehicles will support multiple 5G communication interfaces e.g., cellular (Uu), sidelink (PC5). A 5G RAN-based solution is proposed in this paper to dynamically select and change the communication interface that is suitable for a V2X service, considering radio and road conditions. The com…

Service (business)050210 logistics & transportationbusiness.industryNetwork packetComputer scienceQuality of servicemedia_common.quotation_subject05 social sciences020206 networking & telecommunications02 engineering and technologyFactor (programming language)0502 economics and business0202 electrical engineering electronic engineering information engineeringQuality (business)businesscomputer5GComputer networkmedia_commoncomputer.programming_language2019 IEEE 30th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)
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Signaling Reduction in 5G eV2X Communications Based on Vehicle Grouping

2019

Groups of users, sometimes referred to as clusters, have been exploited in several works to enhance wireless communications. Leveraging on previous ideas, the main goal of this paper is to take advantage of vehicle grouping in order to reduce uplink signaling in fifth generation (5G) vehicular communications. Several schemes to reduce uplink signaling are proposed and particularized in two specific 5G uses cases: the reporting of Channel Busy Ratio (CBR), and the reporting of beam measurements in beam management procedures. The achieved signaling reduction is analytically evaluated in an example of urban scenario with high vehicle densities for different group sizes. The signaling load can …

050210 logistics & transportationbusiness.industryComputer science05 social sciences020206 networking & telecommunications02 engineering and technologyFifth generationReduction (complexity)0502 economics and businessTelecommunications link0202 electrical engineering electronic engineering information engineeringWirelessbusiness5GComputer networkCommunication channel2019 European Conference on Networks and Communications (EuCNC)
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5G V2V Communication With Antenna Selection Based on Context Awareness: Signaling and Performance Study

2022

Enhanced vehicle-to-everything (eV2X) communication is one of the key challenges to be addressed by the fifth generation (5G) of cellular mobile communications. In particular, eV2X includes some 5G vehicular applications targeting fully autonomous driving which require ultra-high reliability. Although vehicular communications are by default assumed between single antennas located on the roof of the transmitter and receiver vehicles, prior art has shown that there are other antenna positions more suitable for V2X communication, depending on the specific communication context. Antenna selection can be used in this case to select one specific antenna or a subset of them better suited for a cer…

business.industryComputer scienceMechanical EngineeringTransmitterContext (language use)Radio Resource ControlComputer Science ApplicationsAutomotive EngineeringContext awarenessOverhead (computing)Mobile telephonyRadio resource managementAntenna (radio)businessComputer networkIEEE Transactions on Intelligent Transportation Systems
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HSDPA Link Adaptation Improvement Based on Node-B CQI Processing

2007

In this paper HSDPA link adaptation (LA) based on Channel Quality Indicator (CQI) reports is optimised. A pre-processing of the last received CQI reports is done before the execution of the LA algorithm in the Node-B in order to obtain more profitable channel quality estimations and hence improve the LA performance. Different types of processing techniques are presented and assessed, considering from the simplest sample averaging to some more elaborated predictive algorithms. Results demonstrate that a non negligible enhancement in the LA performance can be obtained if medium and high speed users are considered.

business.industryComputer sciencemedia_common.quotation_subjectNode (networking)Real-time computingHigh-Speed Downlink Packet AccessSample (statistics)Link adaptationPredictive analyticsQuality (business)Mobile telephonybusinessComputer networkmedia_commonCommunication channel2007 4th International Symposium on Wireless Communication Systems
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Effect of Channel-Quality Indicator Delay on HSDPA Performance

2007

This paper evaluates the effect of the channel estimation inaccuracy on the performance of an HSDPA system. This study provides some results from system level simulations that have been conducted over a very complete dynamic simulator which models an HSDPA system full compliant with specifications. This emulator allows performing multi-user transmission and link adaptation with a limited modulation and coding scheme (MCS) selection based on the channel quality indicator (CQI) modes. Many factors such as the user equipment (UE) speed, the employed scheduling algorithm or the traffic load have been considered in the assessment. Moreover the intrinsic constraints of a WCDMA system like HSDPA h…

EngineeringUser equipmentbusiness.industryCode division multiple accessComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKSTelecommunications linkElectronic engineeringLink adaptationChannelizedMobile telephonybusinessCoding (social sciences)Scheduling (computing)2007 IEEE 65th Vehicular Technology Conference - VTC2007-Spring
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5G Functional Architecture and Signaling Enhancements to Support Path Management for eV2X

2019

Enhanced vehicle-to-everything (eV2X) communication is one of the most challenging use cases that the fifth generation (5G) of cellular mobile communications must address. In particular, eV2X includes some 5G vehicular applications targeting fully autonomous driving which require ultra-high reliability. The usual approach to providing vehicular communication based on single-connectivity transmission, for instance, through the direct link between vehicles (PC5 interface), often fails at guaranteeing the required reliability. To solve such a problem, in this paper, we consider a scheme where the radio path followed by eV2X messages can be proactively and dynamically configured to either trans…

Scheme (programming language)General Computer ScienceComputer scienceDistributed computingInterface (computing)Reliability (computer networking)02 engineering and technology0202 electrical engineering electronic engineering information engineeringGeneral Materials ScienceUse casecomputer.programming_languageMulti-connectivitybusiness.industryGeneral Engineering020206 networking & telecommunications5G coreTransmission (telecommunications)Path (graph theory)V2Xsidelink020201 artificial intelligence & image processinglcsh:Electrical engineering. Electronics. Nuclear engineeringMobile telephonybusinesslcsh:TK1-9971computer5GIEEE Access
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Low-Latency Infrastructure-Based Cellular V2V Communications for Multi-Operator Environments With Regional Split

2021

Mobile network operators are interested in providing Vehicle-to-Vehicle (V2V) communication services using their cellular infrastructure. Regional split of operators is one possible approach to support multi-operator infrastructure-based cellular V2V communication. In this approach, a geographical area is divided into non-overlapping regions, each one served by a unique operator. Its main drawback is the communication interruption motivated by the inter-operator handover in border areas, which prevents the fulfillment of the maximum end-to-end (E2E) latency requirements of fifth generation (5G) V2V services related to autonomous driving. In this work, we enable a fast inter-operator handove…

Mobile edge computingbusiness.industryComputer scienceMechanical EngineeringCore networkComputer Science ApplicationsBroadcasting (networking)HandoverServerAutomotive EngineeringCellular networkLatency (engineering)businessComputer networkIEEE Transactions on Intelligent Transportation Systems
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Joint Dynamic Resource Allocation for Coupled Heterogeneous Wireless Networks Based on Hopfield Neural Networks

2008

This paper proposes an algorithm to solve the problem of Joint Dynamic Resource Allocation in heterogeneous wireless networks. The algorithm is based on Hopfield Neural Networks to achieve fast and suboptimal solutions. The generic formulation is particularized and evaluated in an HSDPA and 802.11e WLAN coupled networks. Some illustrative simulations results are presented to evaluate the performance of the new algorithm as compared with other strategies. The obtained results confirm the validity of the proposal.

Artificial neural networkWireless networkComputer scienceDistributed computingComputer Science::Networking and Internet ArchitectureLocal area networkHeterogeneous wireless networkResource allocationThroughputResource managementIEEE 802.11e-2005VTC Spring 2008 - IEEE Vehicular Technology Conference
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