Energy Minimization for Heterogenous Traffic Coexistence with Puncturing in Mobile Edge Computing-Based Industrial Internet of Things

Puncturing has been recognized as a promising technology to cope with the coexistence problem of enhanced mobile broadband(eMBB) and ultra-reliable low latency communications(URLLC)traffic. However, the steady performance of eMBB traffic while meeting the requirements of URLLC traffic with puncturing is a major challenge in some realistic scenarios. In this paper, we pay attention to the timely and energy-efficient processing for eMBB traffic in the industrial Internet of Things(IIoT), where mobile edge computing(MEC) is employed for data processing. Specifically, the performance of eMBB traffic and URLLC traffic in a MEC-based IIoT system is ensured by setting the threshold of tolerable delay and outage probability, respectively. Furthermore,considering the limited energy supply, an energy minimization problem of eMBB device is formulated under the above constraints, by jointly optimizing the resource blocks(RBs) punctured by URLLC traffic, data offloading and transmit power of eMBB device. With Markov's inequality, the problem is reformulated by transforming the probabilistic outage constraint into a deterministic constraint. Meanwhile, an iterative energy minimization algorithm(IEMA) is proposed.Simulation results demonstrate that our algorithm has a significant reduction in the energy consumption for eMBB device and achieves a better overall effect compared to several benchmarks.

eMBB应用场景下的5G核心网切片设计研究

作为5G组网环境的必要组成条件之一,增强移动宽带(Enhanced mobile Broadband,eMBB)应用场景设计始终是5G网络初期建设的重点工作方向,在端到端网络切片技术的支持下,eMBB应用场景能够直接满足5G组网环境对于数据信息资源的一切需求。研究eMBB应用场景下的5G核心网切片设计方法,通过获取关键性能指标的方式,完善与更新实际设计方案,为5G应用网络的部署提供可行性参考条件。

小型化MIMO天线设计在增强型移动宽带中的应用分析

根据无线通信技术快速发展的需求,针对性提出小型化多输入多输出(Multiple Input Multiple Output,MIMO)天线的设计,阐述在紧凑空间内实现多个天线元素布局的原理与技术挑战,评估小型化MIMO天线在增强型移动宽带应用中的性能。通过采用先进的隔离技术、优化辐射效率及带宽性能的方法,提高无线通信系统效率,并扩大系统容量。此外,介绍多频带操作和智能可重构天线技术在提升网络性能方面的应用,展示小型化MIMO天线在现代通信网络中的关键作用。

一种基于网络切片的带宽资源编排算法

为在无线虚拟化环境下进行高效的带宽资源分配,研究基于增强型移动宽带(eMBB)与高可靠低时延通信(uRLLC)的带宽资源编排问题。对于小型网络,将带宽资源编排问题简化为带宽资源分配问题并给出全局最优解。针对大型网络,结合松弛理论将带宽资源编排问题转化为带宽资源编排的松弛问题,并提出一种基于贪婪理论的启发式算法HPGH。仿真结果表明,通过解决带宽资源编排问题,可以按需为用户动态分配带宽资源,且HPGH算法能够有效提升eMBB业务的吞吐量,降低uRLLC业务的最大传输时延。

5G切片架构下具有重传机制的轮询系统研究

面对海量应用场景及客户需求,传统的轮询系统方案不能满足轮询系统中每个站点所需要的服务质量要求。为降低系统时延,适应更大的网络规模,提出基于5G网络切片的轮询方案。将5G网络切片划分为增强型移动带宽切片、海量机器通信切片和高可靠低时延通信切片,再将这3类切片各自划分出N个更低层子切片,构建3个独立的具有重传机制的完全服务轮询模型。信息分组按照先进先出的规则进入各子切片,由通用服务器进行统一发送。在此基础上,采用概率母函数及马尔可夫链建立非理想信道环境下基于5G网络切片架构的轮询系统数学模型,推导系统平均排队队长和平均等待时间的精确表达式,进行信息分组出错概率和重传阈值与轮询系统性能之间的定量关系分析。基于Matlab的仿真实验结果证明了该模型的正确性,其较重传门限服务时延更少,能够为非理想信道环境下基于5G网络切片架构的轮询系统分析提供一种快速评估机制。

5G+工业互联网应用实践

5G的高速率、大容量以及超可靠低时延的特性在工业互联网场景中得到应用。在工业企业数字化转型的过程中,5G无线传输技术将分散在企业内的生产实时数据及时上传至工业互联网平台,以做进一步分析处理;5G网络切片技术结合工业互联网平台提供的边缘计算能力,为网络提供了更低的时延、更好的灵活性和安全性;5G大宽带技术可以将工业视频实时回传,并利用人工智能技术进行分析,极大地提高了企业的现场管控能力;5G的定位技术给制造业智能巡检带来了新的技术选择。

Dynamic resource allocation schemes for eMBB and URLLC services in 5G wireless networks

The fifth generation(5G)of wireless networks features three core use cases,namely ultra-reliable and low latency communications(URLLC),massive machine type communications(mMTC),and enhanced mobile broadband(eMBB).These use cases co-exist in many practical scenarios and compete for the same set of time and frequency resources,resulting in a natural trade-off in their performance.In this paper,a network supporting both URLLC and eMBB modes of operation is studied.To guarantee the ultra low latency requirement of URLLC,a dynamic resource allocation scheme indicated by a two-dimensional bitmap is proposed.This approach is capable to achieve finer granularity as well as lower false cancellation rate compared to the state-of-the-art methods.A novel power control and indication method is also proposed to dynamically provide different power control parameters to the user equipment(UE),while guaranteeing the reliability requirement of URLLC and minimizing the impact to eMBB.In addition,we devise a dynamic selection mechanism(DSM)to accommodate diverse scenarios,which is empowered with load prediction to become more intelligent.Our extensive system-level simulation results for eMBB-URLLC co-existence scenarios showcase that the perceived throughput of eMBB UEs is increased by 45.3%,while about 13.3% more UEs are enjoying URLLC services with at most 84% transmit power savings compared to the state-of-the-art methods.

Network slicing based joint optimization of beamforming and resource selection scheme for energy efficient D2D networks

The integration of network slicing into a Device-to-Device(D2D)network is a promising technological approach for efficiently accommodating Enhanced Mobile Broadband(eMBB)and Ultra Reliable Low Latency Communication(URLLC)services.In this work,we aim to optimize energy efficiency and resource allocation in a D2D underlay cellular network by jointly optimizing beamforming and Resource Sharing Unit(RSU)selection.The problem of our investigation involves a Mixed-Integer Nonlinear Program(MINLP).To solve the problem effectively,we utilize the concept of the Dinkelbach method,the iterative weightedℓ1-norm technique,and the principles of Difference of Convex(DC)programming.To simplify the solution,we merge these methods into a two-step process using Semi-Definite Relaxation(SDR)and Successive Convex Approximation(SCA).The integration of network slicing and the optimization of short packet transmission are the proposed strategies to enhance spectral efficiency and satisfy the demand for low-latency and high-data-rate requirement applications.The Simulation results validate that the proposed method outperforms the benchmark schemes,demonstrating higher throughput ranging from 11.79%to 28.67%for URLLC users,and 13.67%to 35.89%for eMBB users,respectively.

标准碎片化下的专利战略——基于5G增强移动宽带技术的研究

本文利用复杂网络分析方法对5G增强移动宽带(eMBB)技术专利进行数据分析和可视化呈现,研究了该行业的技术竞争态势和企业专利战略。研究发现,华为、OPPO等中国企业在标准碎片化的背景下实现了差异化的技术突围,已经在5G标准版图中占据了重要位置,但是与高通、IDAC等企业相比,在专利组合的技术深度和广度、专利策略的灵活性和多样性方面仍有不足。标准碎片化背景下企业的专利战略发生了重要变化,专利组合战略管理能力的重要性,超过了专利组合本身。在传统的封闭创新模式的进攻性专有权策略和防御性策略之外,开放创新导向的合作性的杠杆策略变得日益重要。本研究为复杂技术背景下的创新和专利战略提供了建议。