Mohamed Gaballa, M. Abbod, Ahmed J. Jameel, Nirvana Khaled
{"title":"Throughput Maximization & Power Optimization Analysis in Non-Orthogonal Multiple Access System","authors":"Mohamed Gaballa, M. Abbod, Ahmed J. Jameel, Nirvana Khaled","doi":"10.1109/5GWF52925.2021.00022","DOIUrl":"https://doi.org/10.1109/5GWF52925.2021.00022","url":null,"abstract":"Currently, non-orthogonal multiple access (NOMA) has been considered as a key authorizing multiple access scheme for 5G & beyond (B5G) cellular systems. In NOMA, by utilizing the variations in channels gain, multiple users can be multiplexed in power domain and then non-orthogonally organized for communication on the same spectrum resources. Practical successive interference cancellation (SIC) technique needs to be used at the receivers to decode the desired information signals. In this research, we formulate a downlink NOMA sum- throughput maximization problem in a cellular system such that power allocations for devices in NOMA cell can be optimized based on the transmitted power budget and Quality of service (QoS) constraints. Analysis for the objective function with the constraints to demonstrate the convexity of the optimization problem is presented. Lagrange multipliers and Karush-Kuhn-Tucker (KKT) optimality conditions are applied to derive the optimal power allocations. Simulations are conducted using Genetic algorithm (GA) solver to investigate the improvement achieved in power allocation using power optimization compared to the users with fixed power scenario in terms of bit error rate (BER), sum-rate, outage probability and SIC error.","PeriodicalId":226257,"journal":{"name":"2021 IEEE 4th 5G World Forum (5GWF)","volume":"183 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121028584","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Novel and Compact Wideband Doherty Power Amplifier Architecture for 5G Cellular Infrastructure","authors":"D. K. Sharma, Ravi T. Bura","doi":"10.1109/5GWF52925.2021.00063","DOIUrl":"https://doi.org/10.1109/5GWF52925.2021.00063","url":null,"abstract":"This paper presents a novel and compact wideband Doherty power amplifier (PA) architecture with a broadband characteristic. An improved impedance configuration is introduced in the load modulation network (LMN) to provide wider bandwidth. As well as it eliminates the need for an output impedance matching network (IMN). Hence the designed device is compact. This approach is a synthesis of key concepts derived from the conventional Doherty PA and the analysis of LMN. For the proposed Doherty PA architecture analytical solution and its thorough analysis are presented. A prototype is designed using commercial GaN transistors that exhibit more than 18% fractional bandwidth in the frequency spectrum from 3.07 to 3.68 GHz. It has been observed that the proposed DPA provides an average output power of 37.0-38.0 dBm with 38.0-45.0% efficiency. Furthermore, it supports a peak-to-average power ratio (PAPR) of 6 dB with an efficiency of 54-68% and peak power of 43.0-44.0 dBm. Proposed Doherty PA also achieved adjacent channel leakage ratio (ACLR) of −32 dBc (without any linearization techniques), output third order intercept (TOI) at 50 dBm and input TOI at 39 dBm.","PeriodicalId":226257,"journal":{"name":"2021 IEEE 4th 5G World Forum (5GWF)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121248486","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Vivek Agarwal, Chandra Sharma, Rajaneesh Shetty, Anil Jangam, R. Asati
{"title":"A Journey Towards a Converged 5G Architecture & Beyond","authors":"Vivek Agarwal, Chandra Sharma, Rajaneesh Shetty, Anil Jangam, R. Asati","doi":"10.1109/5GWF52925.2021.00011","DOIUrl":"https://doi.org/10.1109/5GWF52925.2021.00011","url":null,"abstract":"Mobile network architectures and standards have evolved over a period of time. However, to improve the average revenue per user (ARPU), an efficient and simplified network architecture is needed. Network designers and operators are working towards an optimized network architecture and a simplified 5G deployment framework. In this paper, we present our approach towards the logical evolution of the next-generation 5G network from the perspective of access, core networks, and data analytics convergence for effective traffic steering and moving towards enterprise-focused private 5G deployment models. As a step forward, we propose novel mechanism on how a user can switch between different types of access technologies (Wi-Fi, LoRA-WAN, 5G, SatCom, etc.) and how convergence of analytics can help achieve end-to-end use case optimization.","PeriodicalId":226257,"journal":{"name":"2021 IEEE 4th 5G World Forum (5GWF)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125026912","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A. Krause, Waqar Anwar, Ana Belen Martinez, Dirk Stachorra, G. Fettweis, Norman Franchi
{"title":"Network Planning and Coverage Optimization for Mobile Campus Networks","authors":"A. Krause, Waqar Anwar, Ana Belen Martinez, Dirk Stachorra, G. Fettweis, Norman Franchi","doi":"10.1109/5GWF52925.2021.00060","DOIUrl":"https://doi.org/10.1109/5GWF52925.2021.00060","url":null,"abstract":"The campus networks specified in 5G offer use-case tailored wireless communications that fulfills the demanding requirements of Industry 4.0 applications. Also agriculture and construction sites are fields of application that can benefit from the deployment of such networks. However, permanently installed campus networks do not match their requirements, as the network is needed only for certain time intervals and furthermore needs to be easily adaptable due to the time-varying nature of construction sites. Mobile campus networks (MCNs) solve this problem, as they can be deployed by a trailer in a short time and can be adjusted flexibly. Such MCNs require a very short and as much as possible automated planning and deployment procedure. Thus, conventional radio network planning (RNP) as it is applied for macro cells is too costly and time consuming, as it requires lots of manual effort and is not easily scalable. This paper presents an automated RNP framework for MCN based on MATLAB and WinProp, which optimizes the downlink coverage with one base station for several receiver heights that are relevant in an agricultural scenario. The proposed procedure also includes field measurements, which are intended to be executed by a drone. This allows a high flexibility in the selection of the measurement positions. An algorithm is developed that automates the environment-specific selection of measurement points and thus allows an efficient tuning of the propagation model. Subsequently, based on the measurements the propagation model is tuned and then used to recheck the results of the initial RNP. By applying another propagation model, real-world data are mimicked and the proposed algorithm is evaluated.","PeriodicalId":226257,"journal":{"name":"2021 IEEE 4th 5G World Forum (5GWF)","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115076875","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Using Transition Learning to Enhance Mobile-Controlled Handover In Decentralized Future Networks","authors":"Steven Platt, Berkay Demirel, M. Oliver","doi":"10.1109/5GWF52925.2021.00081","DOIUrl":"https://doi.org/10.1109/5GWF52925.2021.00081","url":null,"abstract":"Traditionally, resource management and capacity allocation has been controlled network-side in cellular deployment. As autonomicity has been added to network design, machine learning technologies have largely followed this paradigm, benefiting from the higher compute capacity and informational context available at the network core. However, when these network services are disaggregated or decentralized, models that rely on assumed levels of network or information availability may no longer function reliably. This paper presents an inverted view of the resource management paradigm; one in which the client device executes a learning algorithm and manages its own mobility under a scenario where the networks and their corresponding data underneath are not being centrally managed.","PeriodicalId":226257,"journal":{"name":"2021 IEEE 4th 5G World Forum (5GWF)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115187519","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Towards Future 6G from the Hardware Components Perspective – A Focus on the Hardware-Software Divide, its Limiting Factors and the Envisioned Benefits in Going Beyond it","authors":"Jacopo Iannacci","doi":"10.1109/5GWF52925.2021.00008","DOIUrl":"https://doi.org/10.1109/5GWF52925.2021.00008","url":null,"abstract":"The future paradigms of 6G and Tactile Internet (TI) will extensively capitalize on Artificial Intelligence (AI), broaden services and functionalities, while requiring the 6G network infrastructure itself to develop unparalleled concepts, like self-sustenance and self-evolution. This work argues that the classical Hardware-Software (HW-SW) design approaches, effective for decades and still in use today, will not be suitable anymore in realizing the 6G self-evolving network. To this end, in the following pages a reformulation of the HW-SW concept and relationships is suggested, in order to overcome the limitations arising from the so-called HW-SW divide. In particular, increase in separation and symmetry between HW and SW are identified as key-solutions to empower the AI-driven 6G.","PeriodicalId":226257,"journal":{"name":"2021 IEEE 4th 5G World Forum (5GWF)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123929148","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. A. Rahman, Muhammad Afiq Azmi, Nafees Zaman, Muhammad Kamran Naeem, Prashant Pillai, M. Patwary
{"title":"TRACTS-Net: An Intelligent Road Damage Detection System using 5G Integrated Team-forming Network","authors":"M. A. Rahman, Muhammad Afiq Azmi, Nafees Zaman, Muhammad Kamran Naeem, Prashant Pillai, M. Patwary","doi":"10.1109/5GWF52925.2021.00089","DOIUrl":"https://doi.org/10.1109/5GWF52925.2021.00089","url":null,"abstract":"In the era of fifth generation of cellular communication (5G), connected vehicles are expected to play a crucial role in transportation and road safety. Every year, road accidents cause numerous injuries and deaths all over the world. One of the various reasons for these accidents is the damaged roads. However, recent technological advancements have provided us with the opportunity to overcome these challenges and mitigate the number of accidents drastically. Thus, in this manuscript, we developed a cost-effective IoT device to capture information of potholes on the roads and alert the authority through gateways with the aid of our proposed architecture which integrates 5G networks. Experimental investigations have been carried out to test the performance of our model and our findings demonstrate that the proposed device performs significantly well in the testbed with an accuracy of little less than cent percent in team-forming network.","PeriodicalId":226257,"journal":{"name":"2021 IEEE 4th 5G World Forum (5GWF)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121479807","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Danish Sattar, Alireza Hosseini Vasoukolaei, Pat Crysdale, A. Matrawy
{"title":"A STRIDE Threat Model for 5G Core Slicing","authors":"Danish Sattar, Alireza Hosseini Vasoukolaei, Pat Crysdale, A. Matrawy","doi":"10.1109/5GWF52925.2021.00050","DOIUrl":"https://doi.org/10.1109/5GWF52925.2021.00050","url":null,"abstract":"5G networks bring a new paradigm of cellular infrastructure and, therefore, a need to model new types of threats. One of the primary innovations of 5G networks compared to previous generations is the ability to create network slices. This allows network operators to offer a logical section of a network to a client that can be optimized to their individual needs, such as enhanced mobile broadband, massive machine-type communications, ultra-reliable, and low-latency communications. In this paper, we use the STRIDE threat modeling methodology to analyze risks associated with 5G slicing.","PeriodicalId":226257,"journal":{"name":"2021 IEEE 4th 5G World Forum (5GWF)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121802425","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. Gutierrez-Estevez, Z. Utkovski, A. Kousaridas, Chan Zhou
{"title":"A Statistical Learning Framework for QoS Prediction in V2X","authors":"M. Gutierrez-Estevez, Z. Utkovski, A. Kousaridas, Chan Zhou","doi":"10.1109/5GWF52925.2021.00084","DOIUrl":"https://doi.org/10.1109/5GWF52925.2021.00084","url":null,"abstract":"Managing QoS is one of the most critical and challenging aspects for connected and automated driving to be accepted in reality, as pre-agreed QoS Key-Performance-Indicators (KPIs) such as throughput, latency, and packet delivery ratio may not be guaranteed at all times. Enabling notifications with QoS predictions to vehicle applications presents a way to act upon potential QoS degradation. This, in turn, will make possible to improve overall system reliability while enhancing safety of connected and automated driving. To meet the V2X requirements and deliver QoS prediction with accuracy information, this paper proposes a prediction framework that combines a channel prediction model that maps contextual information into prediction of channel characteristics, with a statistical learning model that delivers QoS prediction with statistical guarantees.","PeriodicalId":226257,"journal":{"name":"2021 IEEE 4th 5G World Forum (5GWF)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131080896","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Justin Worsey, I. Hindmarch, S. Armour, David R. Bull
{"title":"Observations from using a portable LIDAR scanner to capture RF propagation modelling environments","authors":"Justin Worsey, I. Hindmarch, S. Armour, David R. Bull","doi":"10.1109/5GWF52925.2021.00053","DOIUrl":"https://doi.org/10.1109/5GWF52925.2021.00053","url":null,"abstract":"Automated assessment of a 3D geographical environment is highly desirable for many reasons including the creation of accurate environments for RF propagation modelling tools to assist in network planning, and for the rapid deployment of communication aids in areas affected by war or natural disasters. This paper presents some of the observations and limitations of using a portable Laser Imaging, Detection and Ranging (LIDAR) scanner to capture the data points. The point cloud was subsequently classified using a deep learning network before being translated into mesh based environments. Observations include issues with the capturing technique, where a single person can be captured multiple times; a lack of scanner range which permitted false free space line-of-site (LOS) propagation and unexpected classification issues which impacted radio wave propagation. By addressing these observations, cheap and portable LIDAR scanners can provide a viable technique to assist network planning.","PeriodicalId":226257,"journal":{"name":"2021 IEEE 4th 5G World Forum (5GWF)","volume":"179 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133572210","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}