Radio over fiber: An alternative broadband network technology for Iot

Wireless broadband access networks have been positioning themselves as a good solution for manufacturers and users of IoT (internet of things) devices, due mainly to the high data transfer rate required over terminal devices without restriction of information format. In this work, a review of two Radio over Fiber strategies is presented. Both have excellent performance and even offer the possibility to extend wireless area coverage where mobile networks do not reach or the 802.11 network presents issues. Radio Frequency over Fiber (RFoF) and intermediate Frequency over Fiber (IFoF) are two transmission strategies compatible with the required new broadband services and both play a key role in the design of the next generation integrated optical–wireless networks, such as 5G and Satcom networks, including on RAU (Remote Antenna Unit) new functionalities to improve their physical dimensions, employing a microelectronic layout over nanometric technologies

Time reduction for SLM OFDM PAPR based on adaptive genetic algorithm in 5G IoT networks

In this paper, a new peak average power and time reduction (PAPTR) based on the adaptive genetic algorithm (AGA) strategy is used in order to improve both the time reduction and PAPR value reduction for the SLM OFDM and the conventional genetic algorithm (GA) SLM-OFDM. The simulation results demonstrate that the recommended AGA technique reduces PAPR by about 3.87 dB in comparison to SLM-OFDM. Comparing the suggested AGA SLM-OFDM to the traditional GA SLM-OFDM using the same settings, a significant learning time reduction of roughly 95.56% is achieved. The PAPR of the proposed AGA SLM-OFDM is enhanced by around 3.87 dB in comparison to traditional OFDM. Also, the PAPR of the proposed AGA SLM-OFDM is roughly 0.12 dB worse than that of the conventional GA SLM-OFDM

TRANSCEIVER PLATFORM FOR COMMERCIAL LTE POWER AMPLIFIERS MODELING AND LINEARIZATION (PLATAFORMA DE MODELADO Y LINEALIZACIÓN DE AMPLIFICADORES COMERCIALES CON TRANSCEPTOR RF PARA LTE)

Abstract In this work, a linearization scheme for QPSK and 64-QAM type digital modulation developed in an RF transceiver is presented. The modeling stage is based on a polynomial memory model with flexible memory depth and non-linearity order. In addition, an indirect learning approach (ILA) scheme is adapted for spectral correction. In this case, a sweep is performed to characterize the commercial RF power amplifier of the AD9316. Experimental results are presented to validate the QPSK with a carrier frequency of 2.4 GHz with a bandwidth of 18 MHz, and for a 64-QAM multiplexed by LTE with a bandwidth of 2.7 MHz. The improvement of the spectral growth of 8 dB for a QPSK signal of 18 MHz and it is demonstrated that it worsens by 2 dB due to the non-linear behavior of the amplifier for an LTE signal with a bandwidth of 2.7 MHz. The developed system is applicable for base stations of femtocells, picocells, and microcells. It represents the starting point of a digital predistortion (DPD) system for medium and high-power RF-PA. Keywords: 64-QAM, LTE, QPSK, RF-PAs, transceiver. Resumen En este trabajo se presenta un esquema de linealización para modulación digital tipo QPSK y 64-QAM desarrollado en un transceptor de RF. La etapa de modelado se basa en un modelo polinomial de memoria con profundidad de memoria flexible y orden de no linealidad, además se adapta un esquema de enfoque de aprendizaje indirecto (ILA) para la corrección espectral. En este caso, se realiza un barrido para caracterizar el amplificador de potencia de RF comercial del AD9316. Se presentan resultados experimentales para validar el QPSK con una frecuencia portadora de 2.4 GHz con un ancho de banda de 18 MHz, y para un 64-QAM multiplexado por LTE con un ancho de banda de 2.7 MHz. Se logra la mejora del recrecimiento espectral de 8 dB para una señal QPSK de 18 MHz y se demuestra como empeora en 2 dB debido al comportamiento no lineal del amplificador para una señal LTE con un ancho de banda de 2.7 MHz. El sistema desarrollado es aplicable para estaciones base de femtocélulas, picocélulas y microcélulas y representa el punto de partida de un sistema de predistorsión digital (DPD) para RF-PA de potencia media y alta. Palabras Clave: 64-QAM, LTE, QPSK, RF-PAs, transceptor

Distributed remote antenna unit with selection-based of (RoF-IoT) paradigm: Performance improvement

Data availability statement: All data are available within manuscript.Copyright © 2022 The Authors. Mixing the wireless medium with fiber optics can form a new communication system called a radio-over-fiber (RoF) network; it is a promising solution that can provide high bandwidth and a reliable connection between numerous sensors in wireless sensor networks (WSN) and the central office (base station) within a particular area. This paper first design and discusses new paradigms of fire detection in the IoT environment using RoF technology. Second, this paper covers the distribution of remote antenna unit (DRAU) architecture within RoF-IoT. Finally, best remote antennas unit selection (BRAUS) of distributed RAUs architecture protocols utilizing new selection metrics is proposed. Two important metrics have been analysed and mathematically modelled, outage probability and bandwidth efficiency, respectively. Both metrics have been analysed as a function of the distance, number of RAUs, fiber optic attenuation, and path loss factor. Based on the simulation and numerical analysis, the outage probability of proposed protocols is reduced by 65% compared to recent work; in addition, the bandwidth efficiency of the proposed protocol is increased by 34% compared to recent work.Brunel University London. Grant Number: J066

Stable Matching based Resource Allocation for Service Provider\u27s Revenue Maximization in 5G Networks

5G technology is foreseen to have a heterogeneous architecture with the various computational capability, and radio-enabled service providers (SPs) and service requesters (SRs), working altogether in a cellular model. However, the coexistence of heterogeneous network model spawns several research challenges such as diverse SRs with uneven service deadlines, interference management, and revenue maximization of non-uniform computational capacities enabled SPs. Thus, we propose a coexistence of heterogeneous SPs and SRs enabled cellular 5G network and formulate the SPs\u27 revenue maximization via resource allocation, considering different kinds of interference, data rate, and latency altogether as an optimization problem and further propose a distributed many-to-many stable matching-based solution. Moreover, we offer an adaptive stable matching based distributed algorithm to solve the formulated problem in a dynamic network model. Through extensive theoretical and simulation analysis, we have shown the effect of different parameters on the resource allocation objectives and achieves 94 percent of optimum network performance

Adaptive Multi-Input Medium Access Control (AMI-MAC) design using physical layer cognition for tactical SDR networks

Tactical software defined radio (SDR) networks demand stringent requirements of latency, throughput, and reliability. In the past, significant efforts have been made to achieve maximal efficiency with modifications and improvements either in an individual layer or through the cross-layer design of its working protocol. In this paper, we propose a novel cross-layer design consisting of adaptive multi-input medium access control (AMI-MAC) layer along with an intelligent channel allocation scheme supported by a multiband multimode physical layer. A cognitive engine further empowers this cross-layer design approach to achieve high throughput, improved quality of service (QoS), and adaptive range capabilities. The proposed physical layer exhibits a mixed use of narrowband and wideband waveforms accommodating different range requirements as per demanded QoS. The uniqueness of the proposed physical layer enables SDR to operate in hybrid topology by receiving multiple narrowband signals of different bandwidths with the same configuration of wideband RF front end. The proposed AMI-MAC design ensures a reduction in both control and data phase latency. MAC layer ensures the maximal utilization of the time and frequency spectrum. Bandwidth and delay optimization is also managed by the proposed trio of the physical layer, MAC, and cognition to reduce latency and achieve desired QoS. Simulation results are presented to show the superiority of the proposed design over conventional tactical radio MAC