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Christos Tselios

Publications and source records attributed to Christos Tselios.

4 recordsLinked to original sources

Electromagnetically Consistent Monostatic ISAC Beamforming: Mutual Coupling, Active Mismatch and Tx-Rx Leakage in Compact Dipole Arrays

Beamforming for integrated sensing and communication (ISAC) is usually designed on ideal array manifolds with a norm constraint on the transmit signal. In a compact monostatic transceiver this hides three antenna effects: distorted embedded patterns, beam-dependent active mismatch at the power amplifiers, and transmit-to-receive leakage that raises the radar noise floor. We build a multiport scattering model of a shared-aperture dipole array directly from method-of-moments simulations and use it to formulate a Cramer-Rao bound minimizing ISAC beamformer with multiuser SINR constraints, per-port active reflection constraints and a leakage budget, solved as a semidefinite program with a one-dimensional budget search. Full-wave evaluation shows that coupling-unaware designs miss their SINR targets by up to 6.2 dB and drive amplifiers to an equivalent VSWR above 3.3 at small spacings. For spacings from 0.3 to 0.5 wavelengths, the proposed design meets all targets with an equivalent VSWR below 2 and lowers the root Cramer-Rao bound by 32 to 53 percent for 80 dB of self-interference cancellation and by a factor of 3.4 to 5.6 for 70 dB. An independent finite-difference time-domain model of the final layout in openEMS confirms that the leakage null and the ranking of the designs are preserved.

eess.SP↗

Polarization Modulation in Quantum-Dot Spin-VCSELs for Ultrafast Data Transmission

Spin-Vertical Cavity Surface Emitting Lasers (spin-VCSELs) are undergoing increasing research effort for new paradigms in high-speed optical communications and photon-enabled computing. To date research in spin-VCSELs has mostly focused on Quantum-Well (QW) devices. However, novel Quantum-Dot (QD) spin-VCSELs, offer enhanced parameter controls permitting the effective, dynamical and ultrafast manipulation of their light emissions polarization. In the present contribution we investigate in detail the operation of QD spin-VCSELs subject to polarization modulation for their use as ultrafast light sources in optical communication systems. We reveal that QD spin-VCSELs outperform their QW counterparts in terms of modulation efficiency, yielding a nearly two-fold improvement. We also analyse the impact of key device parameters in QD spin-VCSELs (e.g. photon decay rate and intra-dot relaxation rate) on the large signal modulation performance with regard to optical modulation amplitude and eye-diagram opening penalty. We show that in addition to exhibiting enhanced polarization modulation performance for data rates up to 250Gbps, QD spin-VCSELs enable operation in dual (ground and excited state) emission thus allowing future exciting routes for multiplexing of information in optical communication links.

physics.optics↗

Enhancing an eco-driving gamification platform through wearable and vehicle sensor data integration

As road transportation has been identified as a major contributor of environmental pollution, motivating individuals to adopt a more eco-friendly driving style could have a substantial ecological as well as financial benefit. With gamification being an effective tool towards guiding targeted behavioural changes, the development of realistic frameworks delivering a high end user experience, becomes a topic of active research. This paper presents a series of enhancements introduced to an eco-driving gamification platform by the integration of additional wearable and vehicle-oriented sensing data sources, leading to a much more realistic evaluation of the context of a driving session.

cs.DC↗

On the design of a Fog computing-based, driving behaviour monitoring framework

Recent technological improvements in vehicle manufacturing may greatly improve safety however, the individuals' driving behaviour still remains a factor of paramount importance with aggressiveness, lack of focus and carelessness being the main cause of the majority of traffic incidents. The imminent deployment of 5G networking infrastructure, paired with the advent of Fog computing and the establishment of the Internet of Things (IoT) as a reliable and cost-effective service delivery framework may provide the means for the deployment of an accurate driving monitoring solution which could be utilized to further understand the underlying reasons of peculiar road behaviour, as well as its correlation to the driver's physiological state, the vehicle condition and certain environmental parameters. This paper presents some of the fundamental attributes of Fog computing along with the functional requirements of a driving behaviour monitoring framework, followed by its high level architecture blueprint and the description of the prototype implementation process.

cs.DC↗