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D2D-based Resource Multiplexing Algorithm For EMBB And URLLC Coexisting Networks

Posted on:2021-05-09Degree:MasterType:Thesis
Country:ChinaCandidate:K JiangFull Text:PDF
GTID:2428330620972128Subject:Electronic and communication engineering
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5G wireless networks are mainly targeted at scenarios such as enhanced mobile broadband(eMBB)and ultra-reliable low latency communications(URLLC).The eMBB scenario enable users to achieve the ultimate experience rate,while URLLC scenario provides ultra-high reliability and ultra-low latency services for emerging industries such as autonomous driving and telemedicine.The goal of 5G communication networks is to realize the interconnection of all things,so the coexistence of heterogeneous services will be a trend of wireless network in the future.However,facing the access of massive wireless devices in the future,the scarcity of spectrum resources and the insufficient utilization of resources are the critical problems to be solved in 5G communication system.Therefore,it is a far-reaching significance to design a more reliable resource allocation scheme making full use of scarce spectral resources and achieving the coexistence of heterogeneous services in wireless networks.In the meantime,reaching the extreme experience rate and the more stringent delay QoS requirements.This paper studies the D2 D resource allocation strategy to improve spectrum efficiency under the eMBB and URLLC scenarios.Firstly,according to the characteristics that 5G NR can meet different service requirements and flexibly configuration characteristic of the frame structure,we adopt a mini-slot scheduling method.In this scheduling method,the time interval(TTI)of URLLC services is less than that of traditional cellular communications.This minislot resource scheduling mode enables multiple D2 D pairs to reuse single time-frequency resource block of cellular users.Since multiple D2 D pairs multiplexing cellular user resources may cause co-channel interference to cellular users,in order to suppress the occurrence of interference and improve the system throughput,we calculated the time-varying average interference power caused by multiple pairs of D2 D communications when multiplexing cellular user resources,and derived the achievable transmission rate of the cellular links.Secondly,in order to meet the different QoS requirements of heterogeneous services in the communication system,for instance,eMBB services that require large bandwidth support,high rate requirements,while URLLC services have strict delay requirements and random burst characteristics.Therefore,we enable D2 D users in the system to carry URLLC services,cellular users to carry eMBB services,and adopt URLLC service multiplexing eMBB service mechanisms to achieve the QoS requirements of two heterogeneous services.This paper deduces the effective performance of D2 D links carrying URLLC services.Considering the statistical delay requirements of random and burst URLLC services,based on the effective bandwidth and effective capacity theory,we quantify the constraints on the rate of D2 D links during communication.Additionally,the achievable transmission rate of D2 D link is calculated with the consideration of the short-packet nature of URLLC traffic.We derive the effective capability of the D2 D link with URLLC traffic.Based on the effective bandwidth and effective capacity theory,we quantify the constraints on the transmission rate of D2 D link considering the statistical delay QoS requirement of the random and sporadic URLLC traffic.We formulate the resource allocation algorithm as a throughput maximization problem subject to the rate requirement of eMBB traffic and the reliability and delay QoS requirement of URLLC traffic.We handle the constrained optimization problem via particle swarm optimization(PSO)algorithm.As a result,the transmitting power of eMBB users and URLLC users,as well as the resource allocation pattern for URLLC users are jointly optimized.
Keywords/Search Tags:eMBB(enhanced mobile broadband), URLLC(ultra-reliable low-latency communication), mini-slot scheduling, D2D(device-to-device) based resource allocation, effective capacity
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