Several new architectures are under investigation for cloud radio access networks, assuming distinct splits of functionality among the network elements. Consequently, research on data compression fronthaul is based assumptions that correspond to a wide variety tradeoffs rate, signal distortion, latency, and computational cost. This letter describes method LTE downlink point-to-point linear prediction Huffman coding, which suitable low cost encoding decoding units with stringent restrictions...

This letter presents a fronthaul signal compression scheme based on linear prediction coding adapted to the orthogonal frequency division multiplexing signals. The proposed method is capable of providing fine tuning factor, which an alternative legacy methods that tune factor by changing discrete number bits quantizer, and consequently, are only able do so with coarse resolution.

In distributed multiple-input multiple-output (D-MIMO), a large number of antenna points (APs) are coordinated by central processing unit (CPU) to serve limited users at the same time/frequency resources, which brings improvements in spectral efficiency. The success D-MIMO relies on precoding and power allocation, where they can be performed fully centralized CPU or APs. approach presents higher efficiency than implementation but requires significant peak fronthaul traffic due channel state...

ABSTRACTThe purpose of this paper is to evaluate WiFi (IEEE 802.11 b/g/n)performance ESP32 modules in outdoor scenarios using an offthe-shelf access point (AP). This was done by measuring its receivedsignal strength indicator (RSSI) and application data transfer ratesat different locations a relatively open area, prone possiblesources interference, order simulate real-life usage situation.The results show that setup suitable for medium datarate applications at distances up 300m from the...

Efficiently handling faults and analyzing signals in power distribution systems is a persistent challenge. Previous studies proposed using smart devices, but most evaluations considered simulated environments. In this paper, we propose novel approach to address signal acquisition processing single board computer (SBC) provide more local computational capabilities reclosers. This paper addresses the challenge of multiple software programs digitize signals, monitor faults, communicate with...

This work proposes a compression method developed to transport radio signals over centralized access network using functional split in which the fronthaul transports frequency-domain samples. The proposed allows detecting subcarriers from an LTE/NR OFDM symbol are inactive avoid sending them fronthaul, hence decreasing required throughput and making it vary with usage. was evaluated different scenarios, results were analyzed terms of user equipment goodput traffic. simulations show...

The noise present in embedded analog-to-digital converter (ADC) of microcontrollers (MCUs) and other System-on-chips (SoCs) is a limiting factor that can impede their use some application. This be caused due to the proximity between ADCs digital circuits whose switching couples analog signals degrades input signal integrity. Moreover, many models have more than one ADC channel, inputs suffer impairments those sources. Because source same for all inputs, correlated it exploited increase...

The generation of multitone signals for use in built-in self-test (BIST) mixed circuits is challenging due to requirements such as resource usage and testing time. Generating offline the complete waveform storing it posterior playback not an option many applications. This paper describes a signal design methodology that allows choose proper parameters BIST circuit will create on-the-fly. Besides, work contributes with new method based on successively addition single-tones then compares other...

In the C-RAN architecture, there is a very high requirement of data rate for fronthaul due to characteristics and number signals. One solutions relies on compression techniques alleviate this requirement. Therefore, in work, we propose technique based Trellis Coded Quantization. We use resampling 2/3, block scaling, TCQ quantization, entropy coding. The results show that improves EVM performance comparison with scalar quantization presents lower computational cost than vector quantization.

This paper presents a compression scheme developed for the transport of downlink radio signals in packet fronthaul centralized-radio access networks (C-RAN). The technique is tailored to frequency-domain functional splits, which inactive LTE (or 5G NR) resource elements may not be transmitted packets. allows decreasing link data rate, especially when cell load low. based on two parts: transmission side information indicate active and LTE, nonuniform scalar quantization compress QAM symbols...

Linear prediction and entropy coding are widely used in speech, audio, video, other systems. Rate-distortion optimization (RDO) is another relevant technique, which especially useful when the encoder performance depends on tunable parameters from distinct subsystems. This work presents a RDO strategy for variable-rate encoders that use linear coding. The method suitable signal to be compressed short-term stationary order varies over segments. second contribution of this paper customize...

Grounding systems play an important role in electrical substations. They prevent grounding potential rise (GPR) during current fault events. GPR can cause the known step or touch voltages that hurt people around Over time, suffer from degradation such as materials erosion. This work proposes a new data acquisition system for continuously monitoring grids energized The proposed is based on wireless sensor network periodically measures both going to ground and many points of grid then...

RESUMOO monitoramento contínuo da qualidade energia elétrica (QEE)é essencial para fornecedores e consumidores de elétrica.Dentre as métricas avaliadas, distorções harmônicas são distúrbiosem frequência indesejados nos sistemas elétricos e, por isso,são importantes parâmetros QEE. O cálculo Transformada Rápidade Fourier (FFT) é uma das maneiras estimar harmônicase pode exigir um hardware relativamente sofisticado quando implementadoem tempo real com número pontos relativamentealto. Buscando...

The requirements on the data rates of communication systems increase roughly an order a magnitude at each new generation. This can be especially noticeable for centralized radio access networks (C-RAN) scenarios, considered meeting fifth generation (5G) wireless systems. general C-RAN architecture normally assumes transmission in form digitized baseband, i.e. I/Q samples. paper proposes relatively low-complexity compression scheme LTE OFDM baseband samples based transform coding, using...

This paper presents a compression scheme developed for the transport of downlink radio signals in packet fronthaul centralized-radio access networks (C-RAN). The technique is tailored to frequency-domain functional splits, which inactive LTE (or 5G NR) resource elements may not be transmitted packets. allows decreasing link data rate, especially when cell load low. based on two parts: transmission side information indicate active and LTE, nonuniform scalar quantization compress QAM symbols...

This work evaluates the O-RAN compression methods specified for in-phase and quadrature (IQ) data compression, which are applied to transport frequency domain representation of radio signals. The were evaluated in terms computational cost quantization-noise ratio vs IQ bit-width. It was found that algorithm with best performance highly depends on signal power. Thus, one contributions this is a method selects each physical resource block (PRB) instead using single set PRBs as current...

The purpose of this paper is to evaluate WiFi performance the ESP32 module in outdoor scenarios.This was done by measuring received signal strength indicator (RSSI) at different point a relatively open area, prone possible sources interference, order simulate real-life usage situation.The results show that it use device distances up 300m from wireless access point.Based on acquired RSSI values, achievable data rate also estimated for each point.

The use of artificial neural networks for the purpose image classification, together with advancement in computational capabilities edge devices, plays an important role new emerging 5G case scenarios. However, one main challenges applications involving these devices is still limitation resources. An alternative saving resources and promoting privacy are split learning (or inference) techniques, which a deep network cut into two parts executed distinct devices. Most techniques rely on...