Knowledge of channel state information (CSI) is fundamental to many functionalities for mobile communication systems. With the advance machine learning (ML) and digital maps, i.e., twins, we have a big opportunity learn propagation environment design novel methods derive report CSI. In this work, propose combine untrained neural networks (UNNs) conditional generative adversarial (cGANs) MIMO recreation based on prior knowledge. The UNNs prior-CSI some locations which are used build input...

Massive MIMO is one of the main features 5G mobile radio systems. However, it often leads to high cost, size and power consumption. To overcome these issues, use constrained frequency (RF) frontends has been proposed, as well novel precoders, e.g., a multi-antenna, greedy, iterative quantized precoding algorithm (MAGIQ). Nevertheless, best performance MAGIQ assumes accurate channel knowledge per antenna element, for example, from uplink sounding reference signals. In this context, we propose...

Machine learning (ML) applications for wireless communications have gained momentum on the standardization discussions 5G advanced and beyond. One of biggest challenges real world ML deployment is need labeled signals big measurement campaigns. To overcome those problems, we propose use untrained neural networks (UNNs) MIMO channel recreation/estimation low over-head reporting. The UNNs learn propagation environment by fitting a few measurements exploit their learned prior to provide higher...

In this article, a novel approach for mobile radio communications is proposed and analysed, which promising future 6G cooperative distributed MIMO systems. The fundamental idea new mechanism namely start stop bit method, transmits sequences as the start/stop bits of synchronized counter instead transmitting full encoded sequence itself. that way, theoretically, we can transmit infinitely long data messages with only one starting stopping counter. value counter, identified by bit, then used...

The requirement of higher data rates motivates the adoption high-order modulations and pulse shaping in optical systems. This paper proposes an efficient architecture for FPGA-based parallel fractional sample rate conversion that has optimum computational cost. supports non-integer oversampling factors, which allow increased flexibility when compared to schemes limited adopting one or two samples per symbol, example. presented example is evaluated a spectrally-efficient 400G supper-channel...

The application of artificial intelligence and machine learning (AI/ML) into the wireless physical layer is under discussion at 3GPP. Channel state information (CSI) prediction among sub use cases being studied. In this work, we propose an AI/ML CSI predictor that aims to compensate scheduling delays base station. operates user equipment side generates channel reporting based on its prediction. Our designed for intended time, e.g., 5 ms, by collecting a few past measurements input....

In 3GPP New Radio (NR) Release 18 we see the first study item starting in May 2022, which will evaluate potential of artificial intelligence and machine learning (AI/ML) methods for Access Network (RAN) 1, i.e., mobile radio PHY MAC layer applications. We use profiling method an accurate iterative estimation parameters dominant multipath components, as it promises a large channel prediction horizon. investigate options to partly or fully replace some functionalities rule based algorithms by...

A variety of wireless channel estimation methods, e.g., MUSIC and ESPRIT, rely on prior knowledge the model order. Therefore, it is important to correctly estimate number multipath components (MPCs) which compose such channels. However, environments with many scatterers may generate MPCs are closely spaced. This clustering in addition noise makes order selection task difficult practice currently known algorithms. In this paper, we exploit multidimensional characteristics MIMO orthogonal...

In this work, we analyze the limits of parameter estimation multipath components like their amplitude, delay and/or phase. Especially challenging is such parameters when have a low relative delay, i.e., less than half tap with respect to discrete channel impulse response. We will introduce concept ambiguity subspace, which indicates that even for high signal noise ratios and quite large RF bandwidths Fischer information limited accurate real world becomes challenging. To overcome these...

Channel state information (CSI) obtained at the user equipment (UE) can be made available base stations (BS) using limited feedback strategies. The design of techniques is critical in millimeter wave (mmWave) multiple-input multiple-output (MIMO) systems, due to high dimension channel matrix. In this paper, we assume that mmWave MIMO has been estimated, and develop a compression method allows trading off rate distortion. proposed method, which exhibits low complexity, based on transform...

The use of higher frequencies and MIMO is important in many 5G cases. However, the available channel models for millimeter waves (mmWaves) currently demand investigation number measurements still limited. Using simulators a current practice mmWave research ray tracing considered one most accurate techniques. Due to relatively long time simulations, it common adopt simplified simulation methodology which omnidirectional antennas are simulated and, later, results used together with geometrical...

Presents information and current topics of interest to the global communications industry.

The use of higher frequencies and MIMO is important in many 5G cases. However, the available channel models for millimeter waves (mmWaves) currently demand investigation number measurements still limited. Using simulators a current practice mmWave research ray tracing considered one most accurate techniques. Due to relatively long time simulations, it common adopt simplified simulation methodology which omnidirectional antennas are simulated and, later, results used together with geometrical...

In 3GPP New Radio (NR) Release 18 we see the first study item starting in May 2022, which will evaluate potential of AI/ML methods for Access Network (RAN) 1, i.e., mobile radio PHY and MAC layer applications. We use profiling method accurate iterative estimation multipath component parameters reference, as it promises a large channel prediction horizon. investigate options to partly or fully replace some functionalities this rule based by inferences, with goal achieve either higher...