180 citations · 361 across the 24 of their papers we have counts for
19 papers · 1 filter
Interference-Aware Multiuser Hybrid Precoding for Coexistence with LEO Satellite Communication
Nima Razavi, Murat Bayraktar, Nuria Gonzalez Prelcic +1
Interference from terrestrial networks can reduce the communication rate for low Earth orbit (LEO) satellites in the upper mid-band. To coexist in frequency, MIMO precoding can be…
Multicarrier ISAC: Advances in Waveform Design, Signal Processing and Learning under Non-Idealities
Visa Koivunen, Musa Furkan Keskin, Henk Wymeersch +2
This paper addresses the topic of integrated sensing and communications (ISAC) in 5G and emerging 6G wireless networks. ISAC systems operate within shared, congested or even contes…
Integrated Monostatic Sensing and Full-Duplex Multiuser Communication for mmWave Systems
Murat Bayraktar, Nuria González-Prelcic, Mikko Valkama +2
In this paper, we propose a hybrid precoding/combining framework for communication-centric integrated sensing and full-duplex (FD) communication operating at mmWave bands. The desi…
The Integrated Sensing and Communication Revolution for 6G: Vision, Techniques, and Applications
Nuria González-Prelcic, Musa Furkan Keskin, Ossi Kaltiokallio +6
Future wireless networks will integrate sensing, learning and communication to provide new services beyond communication and to become more resilient. Sensors at the network infras…
Hybrid Precoding and Combining for mmWave Full-Duplex Joint Radar and Communication Systems under Self-Interference
Murat Bayraktar, Nuria González-Prelcic, Hao Chen
In the context of integrated sensing and communication (ISAC), a full-duplex (FD) transceiver can operate as a monostatic radar while maintaining communication capabilities. This p…
Autoregressive Attention Neural Networks for Non-Line-of-Sight User Tracking with Dynamic Metasurface Antennas
Kyriakos Stylianopoulos, Murat Bayraktar, Nuria González Prelcic +1
User localization and tracking in the upcoming generation of wireless networks have the potential to be revolutionized by technologies such as the Dynamic Metasurface Antennas (DMA…
Separable multidimensional orthogonal matching pursuit and its application to joint localization and communication at mmWave
Joan Palacios, Nuria González-Prelcic
Greedy sparse recovery has become a popular tool in many applications, although its complexity is still prohibitive when large sparsifying dictionaries or sensing matrices have to…
Hybrid mmWave MIMO Systems under Hardware Impairments and Beam Squint: Channel Model and Dictionary Learning-aided Configuration
Hongxiang Xie, Joan Palacios, Nuria González-Prelcic
Low overhead channel estimation based on compressive sensing (CS) has been widely investigated for hybrid wideband millimeter wave (mmWave) multiple-input multiple-output (MIMO) sy…
Low complexity joint position and channel estimation at millimeter wave based on multidimensional orthogonal matching pursuit
Joan Palacios, Nuria González-Prelcic, Cristian Rusu
Compressive approaches provide a means of effective channel high resolution channel estimates in millimeter wave MIMO systems, despite the use of analog and hybrid architectures. S…
Joint Initial Access and Localization in Millimeter Wave Vehicular Networks: a Hybrid Model/Data Driven Approach
Yun Chen, Joan Palacios, Nuria González-Prelcic +2
High resolution compressive channel estimation provides information for vehicle localization when a hybrid mmWave MIMO system is considered. Complexity and memory requirements can,…
Multidimensional Orthogonal Matching Pursuit-based RIS-aided Joint Localization and Channel Estimation at mmWave
Murat Bayraktar, Joan Palacios, Nuria González-Prelcic +1
RIS-aided millimeter wave wireless systems benefit from robustness to blockage and enhanced coverage. In this paper, we study the ability of RIS to also provide enhanced localizati…
Deep Learning-based Link Configuration for Radar-aided Multiuser mmWave Vehicle-to-Infrastructure Communication
Andrew Graff, Yun Chen, Nuria González-Prelcic +1
Configuring millimeter wave links following a conventional beam training protocol, as the one proposed in the current cellular standard, introduces a large communication overhead,…
A Dynamic Codebook Design for Analog Beamforming in MIMO LEO Satellite Communications
Joan Palacios, Nuria González-Prelcic, Carlos Mosquera +1
Beamforming gain is a key ingredient in the performance of LEO satellite communication systems to be integrated into cellular networks. However, beam codebooks previously designed…
Radar Aided mmWave Vehicle-to-InfrastructureLink Configuration Using Deep Learning
Yun Chen, Andrew Graff, Nuria González-Prelcic +1
The high overhead of the beam training process is the main challenge when establishing mmWave communication links, especially for vehicle-to-everything (V2X) scenarios where the ch…
A hybrid beamforming design for massive MIMO LEO satellite communications
Joan Palacios, Nuria Gonzalez-Prelcic, Carlos Mosquera +2
5G and future cellular networks intend to incorporate low earth orbit (LEO) satellite communication systems (SatCom) to solve the coverage and availability problems that cannot be…
Bayesian Predictive Beamforming for Vehicular Networks: A Low-overhead Joint Radar-Communication Approach
Weijie Yuan, Fan Liu, Christos Masouros +3
The development of dual-functional radar-communication (DFRC) systems, where vehicle localization and tracking can be combined with vehicular communication, will lead to more effic…
Site-specific online compressive beam codebook learning in mmWave vehicular communication
Yuyang Wang, Nitin Jonathan Myers, Nuria González-Prelcic +1
Millimeter wave (mmWave) communication is one viable solution to support Gbps sensor data sharing in vehicular networks. The use of large antenna arrays at mmWave and high mobility…
LIDAR Data for Deep Learning-Based mmWave Beam-Selection
Aldebaro Klautau, Nuria González-Prelcic, Robert W. Heath
Millimeter wave communication systems can leverage information from sensors to reduce the overhead associated with link configuration. LIDAR (light detection and ranging) is one se…
Spatial Channel Covariance Estimation for Hybrid Architectures Based on Tensor Decompositions
Sungwoo Park, Anum Ali, Nuria González-Prelcic +1
Spatial channel covariance information can replace full instantaneous channel state information for the analog precoder design in hybrid analog/digital architectures. Obtaining spa…