Real-Time Channel Sounding for Channel-Adaptive Data Links

The development of wideband mobile communications systems requires a good knowledge of the characteristics of the mobile channel as described by its impulse response. Such impulse response can be modeled as a tapped delay line with delays, amplitudes and phases associated with each tap. In order to obtain satisfactory estimates of these parameters and to determine delay spread, Doppler spread and the channel scattering function, a real-time channel sounder is required. This paper focuses on the hardware implementation of a real-time channel sounder, on an Innovative-DSP X6-400M Software-Defined-Radio platform based on a Xilinx Virtex-6 FPGA. The real-time channel sounder has been developed in VHDL and implemented with Xilinx ISE AND Xilinx System Generator design, simulation and analysis softwares. In order to visualize the measured channel scattering function, a graphical user interface has been created. Testing of the channel sounder using a channel emulator allowed to verify the proper operation of the project

A Survey of Air-to-Ground Propagation Channel Modeling for Unmanned Aerial Vehicles

In recent years, there has been a dramatic increase in the use of unmanned aerial vehicles (UAVs), particularly for small UAVs, due to their affordable prices, ease of availability, and ease of operability. Existing and future applications of UAVs include remote surveillance and monitoring, relief operations, package delivery, and communication backhaul infrastructure. Additionally, UAVs are envisioned as an important component of 5G wireless technology and beyond. The unique application scenarios for UAVs necessitate accurate air-to-ground (AG) propagation channel models for designing and evaluating UAV communication links for control/non-payload as well as payload data transmissions. These AG propagation models have not been investigated in detail when compared to terrestrial propagation models. In this paper, a comprehensive survey is provided on available AG channel measurement campaigns, large and small scale fading channel models, their limitations, and future research directions for UAV communication scenarios

Deep Neural Network Equalization for Optical Short Reach Communication

Nonlinear distortion has always been a challenge for optical communication due to the nonlinear transfer characteristics of the fiber itself. The next frontier for optical communication is a second type of nonlinearities, which results from optical and electrical components. They become the dominant nonlinearity for shorter reaches. The highest data rates cannot be achieved without effective compensation. A classical countermeasure is receiver-side equalization of nonlinear impairments and memory effects using Volterra series. However, such Volterra equalizers are architecturally complex and their parametrization can be numerical unstable. This contribution proposes an alternative nonlinear equalizer architecture based on machine learning. Its performance is evaluated experimentally on coherent 88 Gbaud dual polarization 16QAM 600 Gb/s back-to-back measurements. The proposed equalizers outperform Volterra and memory polynomial Volterra equalizers up to 6th orders at a target bit-error rate (BER) of 10 −2 by 0.5 dB and 0.8 dB in optical signal-to-noise ratio (OSNR), respectively

FDMA Point-to-Multi-Point Fibre Access System for Latency Sensitive Applications

We present a demo for a multiple uplink access system with real-time services. Several terminals transmit and are detected simultaneously through FDMA. The system can allow latency-sensitive and best-effort applications to share the network

FDMA in Point-to-Multipoint Fibre Access Systems for Non-Residential Applications

Optical access networks are seeing growing applications for use cases beyond residential, for example in campus and as Industry 4.0 intra-factory networks, which introduce different requirements in terms of bandwidth delivery and latency. We present an uplink access system with simultaneous transmission and detection of several users by means of frequency division multiplexing (FDM). We demonstrate a multiple uplink access system with differential binary phase shift keying (DBPSK) signals and coherent detection that targets a low and deterministic latency. We achieve receiver (Rx) sensitivities of -43.5dBm, -40dBm, and -34dBm at a pre forward error correction (FEC) bit error ratio (BER) of 10 -3 at 2.5 GBaud, 5 GBaud, and 8 GBaud respectively after 20km of fibre with coherent detection. Furthermore, we show the possibility of employing time-division multiplexing (TDM) within the frequency bands. We also present real-time services showing that the system can allow latency-sensitive and best-effort applications to share the network

Initial experience with MR-imaging of intracranial midline-lesions and lesions of the cervical spine at half tesla

SCOPUS: ar.jinfo:eu-repo/semantics/publishe