Prof. Dr. ANTONIO PEREZ YUSTE
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22Years (2005-Present)
(Calculated once Scilit publication data is synced: current year − year of first publication + 1)
Representative Publications
View All Publications14 December 2018 in IEEE Transactions on Vehicular Technology
Journal Article
XCXuesong Cai
Xuesong CaiJRJosé Rodríguez-Piñeiro
José Rodríguez-PiñeiroXYXuefeng Yin
Xuefeng YinNWNanxin Wang
Nanxin WangBABo Ai
Bo AiLTLi Tian
Li Tian +2
In this paper, a recently conducted measurement campaign for unmanned-aerial-vehicle (UAV) channels is introduced. The downlink signals of an in-service long-time-evolution (LTE) network which is deployed in a suburban scenario were acquired. Five horizontal and five vertical flight routes were considered. The channel impulse responses (CIRs) are extracted from the received data by exploiting the cell specific signals (CRSs). Based on the CIRs, the parameters of multipath components (MPCs) are estimated by using a high-resolution algorithm derived according to the space-alternating generalized expectation-maximization (SAGE) principle. Based on the SAGE results, channel characteristics including the path loss, shadow fading, fast fading, delay spread and Doppler frequency spread are thoroughly investigated for different heights and horizontal distances, which constitute a stochastic model.
1 March 2017
Conference Paper
XCXuesong Cai
Xuesong CaiAPAna González Plaza
Ana González PlazaDADavid Alonso
David AlonsoLZLei Zhang
Lei Zhang
CRCesar Briso Rodriguez
Cesar Briso Rodriguez
XYXuefeng Yin
Xuefeng Yin
+1
5 June 2017 in IEEE Access
Journal Article
XYXiaokang Ye
Xiaokang YeXYXuefeng Yin
Xuefeng YinXCXuesong Cai
Xuesong CaiANTONIO PEREZ YUSTEHXHongliang Xu
Hongliang Xu
In this paper, a novel fingerprint-based localization technique is proposed, which is applicable for positioning user equipments (UEs) in cellular communication networks such as the long-term-evolution (LTE) system. This technique utilizes a unique mapping between the characteristics of a radio channel formulated as a fingerprint vector and a geographical location. A feature-extraction algorithm is applied to selecting channel parameters with non-redundant information that are calculated from the LTE down-link signals. A feedforward neural network with the input of fingerprint vectors and the output of UEs’ known locations is trained and used by UEs to estimate their positions. The results of experiments conducted in an in-service LTE system demonstrate that by using only one LTE eNodeB, the proposed technique yields a median error distance of 6 and 75 meters in indoor and outdoor environments, respectively. This localization technique is applicable in the cases where the Global Navigation Satellite System (GNSS) is unavailable, e.g., in indoor environments or in dense-urban scenarios with closely spaced skyscrapers heavily blocking the line-of-sight paths between a UE and GNSS satellites.
27 December 2017 in IEEE Transactions on Vehicular Technology
Journal Article
XCXuesong Cai
Xuesong CaiBPBile Peng
Bile PengXYXuefeng Yin
Xuefeng YinANTONIO PEREZ YUSTEIn this paper, a recently conducted measurement campaign for vehicle-to-vehicle (V2V) propagation channel characterization is introduced. Two vehicles carrying a transmitter and a receiver, respectively, have been driven along an eight-lane road with heavy traffic. The measurement was conducted with 100 MHz signal bandwidth at a carrier frequency of 5.9 GHz. Channels are observed consisting of two kinds of channel components, i.e., time-evolving clusters and clutter paths. A novel approach based on Hough transform is proposed to identify the clusters. Based on the cluster identification results, channel characteristics in composite, intracluster, and time-variant levels are analyzed. The parameters investigated include the composite root-mean-square (RMS) delay spreads and power decay versus delay behaviors of clusters and clutter paths, cluster RMS delay spread, cluster RMS Doppler frequency spread, correlations of cluster parameters, and coherence time of parameters of interest. The statistics constitute an empirical stochastic clustered-delay-line channel model focusing on the wideband characteristics observed in the realistic time-variant V2V propagation scenario.
4 May 2020 in IEEE Access
Journal Article
FGFrancisco Gallardo
Francisco GallardoANTONIO PEREZ YUSTESpoofing attacks pose a clear cybersecurity risk for all systems relying on Global Navigation Satellite Systems (GNSS) for time synchronization or positioning. Secure Code Estimation and Replay (SCER) spoofing attacks are the most challenging type of spoofing attacks, as these may be problematic even for future GNSS protection systems, like Navigation Message Authentication (NMA) or Spreading Code Authentication (SCA). This is one of the reasons that make the development of complementary protection techniques, like the one proposed in this work, necessary In the first part of the paper, the spoofing SCER attacks are analyzed in detail for GPS and, particularly, for Galileo. The role of the Galileo Pseudorandom Noise (PRN) intra-satellite non-orthogonality distortion term in hindering the attacks is discussed and a detailed comparison between GPS and Galileo expected quality curves for the SCER attack is provided A complementary detection method for end-user receivers (assuming NMA is used) against SCER attacks is proposed, based on the application of machine learning and a proposed set of features extracted from the receiver search space, assuming the attacker was not able to null the satellite signal.
10 June 2016 in IEEE Transactions on Communications
Journal Article
XCXuesong Cai
Xuesong CaiXYXuefeng Yin
Xuefeng Yin
XCXiang Cheng
Xiang Cheng
ANTONIO PEREZ YUSTERecently, a measurement campaign for characterizing the channels in underground subway environments was conducted in Shanghai, China. Downlink signals transmitted by 46 universal mobile telecommunication system cells deployed along a 34-km-long subway were collected. Channel impulse responses are extracted from the data received in the common pilot channels, based on which parameters of multipath components are estimated by using a high-resolution parameter algorithm derived using the space-alternating generalized expectation-maximization principle. Multiple time-evolving clusters are obtained, each representing the channel from a remote-radio-unit of a base station to the receiver. Based on a total of 98 time-evolving clusters, channels observed in the station scenario and the tunnel scenario are modeled separately for their distinctive behaviors in many aspects, particularly in the variations of clusters’ trajectories. Intracluster characteristics parameterized by cluster delay and Doppler frequency spreads, $K$ -factor, and dependences among these parameters are investigated. Intercluster parameters, including coexisting cluster number, delay offset, power offset, and cross correlations, are investigated for the station scenario. A path loss model is established for the tunnel scenario.
About Me
Antonio Pérez Yuste received his PhD in Telecommunications Engineering from Technical University of Madrid, Spain, in 2004. He is a Professor in Telecommunication Systems Engineering at Technical University of Madrid, Spain, and Corresponding Member of the Royal Academy of Sciences and Arts of Barcelona, Spain. At present, he teaches undergraduate and graduate courses in the field of Mobile Communications. His research interests are related to short-range and long-range wireless communication systems, particularly oriented towards 5G, WiFi, and Bluetooth, and to Global Navigation Satellite Systems. He was Vice Director of the Technical University of Madrid’s School of Telecommunication Systems Engineering from 1997 to 2001, Director of that School from 2001 to 2004, Chief of the Technical University of Madrid President’s Office from 2004 to 2012, UPM Sino-Spanish Campus Director at Shanghai (China) from September 2012 to February 2014, and responsible for the UPM Sino-Spanish Cooperation Office in Madrid from March 2014 to July 2014. In March 2022, he was appointed as Director of the official UPM Master in Wireless Communications. He received the ‘Technical University of Madrid Medal’ in 2004 for his outstanding work as the School’s Director, the ‘Technical University of Madrid Prize to Innovation in Education’ in 2009 for his best educational practices, and the ‘Technical University of Madrid Prize to Excellence in Education’ in 2018 for his outstanding academic career.