Integrated Communication and Ranging Services in NextG Wireless Networks for Industry 5.0

Abstract

Industry5.0 vision, astep towards thenextindustrial revolution andenhancementto Industry4.0, envisionedthenewgoalsofresilient, sustainable, andhuman-centricapproaches in diverse emerging applications, e.g., factories-of-the-future, digital society. The vision seeks to leverage human intelligence and creativity in nexus with intelligent, efficient, and reliable cognitive collaborating robots (cobots) or industrial assets to achieve zero waste, zero-defect, and mass customization-based manufacturing solutions. However, the vision requires the merging of cyber-physical worlds through utilizing Industry 5.0 technological enablers, e.g., cognitive cobots, person-centric artificial intelligence (AI), cyber-physical systems, digital twins, hyperconverged data storage and computing, communication infrastructure, and others. Inthisregard,theconvergenceoftheemergingcomputationalintelligence(CI)paradigms and communication enablers in next-generation wireless networks (NGWNs) can fulfill the stringent communication and computation requirements of the on-demand services in the Industry 5.0 vision, which is the aim of this thesis. Hence, in this thesis,theresearchwork,proposedsystemsmodels,andachievedcontributions,basedon the service-oriented architecture of NGWNs are grouped into three research phases, i.e., 1) Phase-1 which highlights the contributions on green communication services for NG-IoTs, e.g., NOMA-enhanced backscatter green communication for NG-IoT networks, Deep RL-assisted CR-NOMA aided energy harvesting scheme in NG-IoT networks,2)Phase-2whichfocusesonintegratedcommunicationandrangingservices (ICAR) services in NGWNs, e.g., mmWave-based ToA ranging for 5G Industrial IoT Networks, analysisofICARservicesunderindoor3Dstochasticchannelmodel, interference analysis of RIS-assisted mmWave-mMIMO 6G system in multi-cell industrial viii IoTnetworks,and3)Phase-3whichexplorestheCIservicesinzero-touchservicemanagement(ZSM)paradigms,e.g.,AIserviceorchestrationinproposededgeintelligence frameworkforpredictingnetworktrafficflowsatedgedevicesinsoftwarizednetworks. In each research phase, several research issues were addressed in-depth reviewing and analyzing current emerging concepts and technologies, e.g., mmWave, mMIMO, PDNOMA, backscatter communication, energy harvesting, ToA-based ranging inside industrial environment, timing advance mechanism, RIS surfaces, statistical channel models, CI tools and frameworks, network-in-box architecture, softwarized service architectures, potential enabling services, and others, essential for designing the objectives of CI-NGWNs-based services to fulfill the Industry 5.0 vision requirements.