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Recent Submissions
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Machine-learning based traffic forecasting for resource management in C-RAN
(Institute of Electrical and Electronics Engineers (IEEE), 2020)
Conference report
Restricted access - publisher's policyThe assumption of a fixed computational capacityat the Baseband Unit (BBU) pools in a Cloud Radio Access Network (C-RAN) deployment results in underutilized resourcesor unsatisfied users depending on ... -
Unsupervised learning for detection of mobility related anomalies in commercial LTE networks
(Institute of Electrical and Electronics Engineers (IEEE), 2020)
Conference report
Restricted access - publisher's policyWe propose an unsupervised learning based anomaly detection framework for identifying cells experiencing performance degradation due to mobility problems, in LTE networks. Handover failure rate is used as a performance ... -
Big data-driven automated anomaly detection and performance forecasting in mobile networks
(Institute of Electrical and Electronics Engineers (IEEE), 2020)
Conference report
Restricted access - publisher's policyThe massive amount of data available in operational mobile networks offers an invaluable opportunity for operators to detect and analyze possible anomalies and predict network performance. In particular, application of ... -
Continuous multi-objective zero-touch network slicing via twin delayed DDPG and OpenAI gym
(Institute of Electrical and Electronics Engineers (IEEE), 2020)
Conference lecture
Restricted access - publisher's policyArtificial intelligence (AI)-driven zero-touch network slicing (NS) is a new paradigm enabling the automation of resource management and orchestration (MANO) in multi-tenant beyond 5G (B5G) networks. In this paper, we ... -
Real-time dynamic network slicing for the 5G radio access network
(Institute of Electrical and Electronics Engineers (IEEE), 2019)
Conference report
Restricted access - publisher's policyThe 5G networks are expected to satisfy diverse use cases and business models with significant advancements in terms of capacity, reliability, and latency. The allocation and provisioning of network resources pose a challenge ... -
On the use of existing 4G small cell deployments for 5G V2N communication
(Institute of Electrical and Electronics Engineers (IEEE), 2019)
Conference lecture
Restricted access - publisher's policyWe study the feasibility of the dense 4G and 5G cellular networks at sub-6 GHz and millimeter wave carriers for vehicle-to-network applications. For this purpose, road-side network coverage, signal-to-interference-plus-noise ... -
On the feasibility of remote driving application over dense 5G roadside networks
(Institute of Electrical and Electronics Engineers (IEEE), 2019)
Conference report
Restricted access - publisher's policyRemote driving (RD) is a critical backup option for an autonomous vehicle when it faces an unexpected situation on the road. Fifth generation (5G) mobile communication is a key enabler of RD providing link between the ... -
Route-based radio coverage analysis of cellular network deployments for V2N communication
(Institute of Electrical and Electronics Engineers (IEEE), 2019)
Conference report
Open AccessCellular vehicle-to-network (V2N) communication will be the backbone of the connected vehicles of future. One of the key requirements of the connected vehicles is a near universal coverage on the streets. Traditional radio ... -
Dynamic resource allocation in C-RAN with real-time traffic and realistic scenarios
(Institute of Electrical and Electronics Engineers (IEEE), 2019)
Conference report
Restricted access - publisher's policyThis work proposes the use of a modified and improved version of the realistic Vienna Scenario that was defined in COST action IC1004, to test two different scale C-RAN deployments. First, a large-scale analysis with 628 ... -
A machine learning enabled network planning tool
(Institute of Electrical and Electronics Engineers (IEEE), 2016)
Conference report
Restricted access - publisher's policyIn the coming years, planning future mobile networks will be infinitely more complex than nowadays. Future networks are expected to present multiple Network Management (NM) challenges to operators, such as managing network ... -
Self coordination among SON functions in LTE heterogeneous networks
(Institute of Electrical and Electronics Engineers (IEEE), 2015)
Conference report
Restricted access - publisher's policyIn a self-organized Long Term Evolution (LTE) network, different Self-Organizing Network (SON) functions or different instances of the same SON function can execute parallel actions, which interact or collide among each ... -
Predicting QoS in LTE HetNets based on location-independent UE measurements
(Institute of Electrical and Electronics Engineers (IEEE), 2015)
Conference report
Restricted access - publisher's policyThis paper aims to find patterns of knowledge from physical layer data coming from Heterogeneous Long Term Evolution (LTE) networks. We discuss how the collected data is employed in such a manner that improves Minimization ...
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