List of Articles 5G

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  1 - Joint Power-Location Optimization in Cooperative Airborne Relay Networks for 5G+
  H. Amiri Mohamadreza Zahabi وحید مقدادی
  Future cellular networks 5G+ promise high data rates, ubiquitous services everywhere and flexibility. Cooperative airborne relay networks (CARNs) is a promising system architecture that enables network coverage extension and reliability enhancement. This article determi More

  Future cellular networks 5G+ promise high data rates, ubiquitous services everywhere and flexibility. Cooperative airborne relay networks (CARNs) is a promising system architecture that enables network coverage extension and reliability enhancement. This article determined the optimum relay location and allocate optimal power to minimize the average symbol error rate (ASER) of an aerial platform CRS with amplify-and-forward relaying protocol (AF-CRS) in the Nakagami-m fading channel. To achieve this goal, the ASER for the AF-CRS in the Nakagami-m channel for different modulations is calculated firstly. Then, we consider three scenarios. First, the optimal location of the AF relay with a given power allocation for the source and relay is determined. Second, the problem of optimizing power allocation for different relay locations is solved. Eventually, an algorithm for joint optimizing the power-location that leads to more efficient system operation is proposed. Also, we investigate the effect of the path-loss exponent, channel fading parameter, and relay altitude on the optimal relay location in the CARS. Finally, Simulations and numerical results are presented, that confirm the theoretical achievements and simulations show a more than 1 dB gain for the optimized system versus the non-optimized system. Manuscript profile
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  2 - Comparative Study of 5G Signal Attenuation Estimation Models
  Md Anoarul Islam Manabendra Maiti Judhajit Sanyal Quazi Md Alfred
  10.52547/jist.32544.11.42.84
  Wireless networks functioning on 4G and 5G technology offer a plethora of options to users in terms of connectivity and multimedia content. However, such networks are prone to severe signal attenuation and noise in a number of scenarios. Significant research in recent y More

  Wireless networks functioning on 4G and 5G technology offer a plethora of options to users in terms of connectivity and multimedia content. However, such networks are prone to severe signal attenuation and noise in a number of scenarios. Significant research in recent years has consequently focused on establishment of robust and accurate attenuation models to estimate channel noise and subsequent signal loss. The identified challenge therefore is to identify or develop accurate computationally inexpensive models implementable on available hardware for generation of estimates with low error and validate the solutions experimentally. The present work surveys some of the most relevant recent work in this domain, with added emphasis on rain attenuation models and machine learning based approaches, and offers a perspective on the establishment of a suitable dynamic signal attenuation model for high-speed wireless communication in outdoor as well as indoor environments, presenting the performance evaluation of an autoregression-based machine learning model. Multiple versions of the model are compared on the basis of root mean square error (RMSE) for different orders of regression polynomials to find the best-fit solution. The accuracy of the technique proposed in the paper is then compared in terms of RMSE to corresponding moderate and high complexity machine learning techniques implementing adaptive spline regression and artificial neural networks respectively. The proposed method is found to be quite accurate with low complexity, allowing the method to be practically applicable in multiple scenarios. Manuscript profile
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  3 - Design and fabrication of the E-field probe for the measurement of the electromagnetic fields in 5G frequency band
  Reza Bahri Mahdi Fasanghari Ahmadreza Eskandari Vahid Yazdanian
  In this paper, a device for measuring the electric fields intensity in the environment is designed and presented in the 5G frequency band, including the frequency range of 3400 ~ 3600 MHz. This device, called the 5G electric probe, is realized by three orthogonal antenn More

  In this paper, a device for measuring the electric fields intensity in the environment is designed and presented in the 5G frequency band, including the frequency range of 3400 ~ 3600 MHz. This device, called the 5G electric probe, is realized by three orthogonal antennas, in connection to filter circuits and power detectors. The proposed antenna is a strip monopole antenna, and these orthogonal antennas can receive the electric fields in all directions uniformly and isotropically. The proposed filter is a coupled-line microstrip filter that has the ability to remove out-of-band signals. The proposed power detector is able to operate linearly over a wide dynamic range and convert the fields received from the antenna and filter sections to suitable DC voltages for digital processing. Finally, the designed 5G electric probe is fabricated and tested. The measurements confirm the proper operation of the probe in terms of dynamic range, accuracy, sensitivity, and the linearity and isotropicity of the received electric fields. Manuscript profile