Deep Unfolding for Cooperative Rate Splitting Multiple Access in Hybrid Satellite Terrestrial Networks

Rate splitting multiple access(RSMA)has shown great potentials for the next generation communication systems.In this work,we consider a two-user system in hybrid satellite terrestrial network(HSTN)where one of them is heavily shadowed and the other uses cooperative RSMA to improve the transmission quality.The non-convex weighted sum rate(WSR)problem formulated based on this model is usually optimized by computational burdened weighted minimum mean square error(WMMSE)algorithm.We propose to apply deep unfolding to solve the optimization problem,which maps WMMSE iterations into a layer-wise network and could achieve better performance within limited iterations.We also incorporate momentum accelerated projection gradient descent(PGD)algorithm to circumvent the complicated operations in WMMSE that are not amenable for unfolding and mapping.The momentum and step size in deep unfolding network are selected as trainable parameters for training.As shown in the simulation results,deep unfolding scheme has WSR and convergence speed advantages over original WMMSE algorithm.

Energy-Efficient Traffic Offloading for RSMA-Based Hybrid Satellite Terrestrial Networks with Deep Reinforcement Learning

As the demands of massive connections and vast coverage rapidly grow in the next wireless communication networks, rate splitting multiple access(RSMA) is considered to be the new promising access scheme since it can provide higher efficiency with limited spectrum resources. In this paper, combining spectrum splitting with rate splitting, we propose to allocate resources with traffic offloading in hybrid satellite terrestrial networks. A novel deep reinforcement learning method is adopted to solve this challenging non-convex problem. However, the neverending learning process could prohibit its practical implementation. Therefore, we introduce the switch mechanism to avoid unnecessary learning. Additionally, the QoS constraint in the scheme can rule out unsuccessful transmission. The simulation results validates the energy efficiency performance and the convergence speed of the proposed algorithm.

Downlink Resource Allocation for NOMA-Based Hybrid Spectrum Access in Cognitive Network

To solve the contradiction between limited spectrum resources and increasing communication demand,this paper proposes a wireless resource allocation scheme based on the Deep Q Network(DQN)to allocate radio resources in a downlink multi-user cognitive radio(CR)network with slicing.Secondary users(SUs)are multiplexed using non-orthogonal multiple access(NOMA).The SUs use the hybrid spectrum access mode to improve the spectral efficiency(SE).Considering the demand for multiple services,the enhanced mobile broadband(eMBB)slice and ultrareliable low-latency communication(URLLC)slice were established.The proposed scheme can maximize the SE while ensuring Quality of Service(QoS)for the users.This study established a mapping relationship between resource allocation and the DQN algorithm in the CR-NOMA network.According to the signal-to-interference-plusnoise ratio(SINR)of the primary users(PUs),the proposed scheme can output the optimal channel selection and power allocation.The simulation results reveal that the proposed scheme can converge faster and obtain higher rewards compared with the Q-Learning scheme.Additionally,the proposed scheme has better SE than both the overlay and underlay only modes.

Hybrid Multiple Access and Service-Oriented Resource Allocation for Heterogeneous QoS Provisioning in Machine Type Communications

Non-orthogonal multiple access(NOMA)has emerged as one important enabling technology for future wireless communications and services,including machine type communication(MTC).Unfortunately,supporting diverse MTC services and massive connectivity is still challenging due to the very different service requirements,scarce radio resources,limited battery capacity of MTC devices,as well as rapidly changing network conditions.In this paper,a hybrid-multipleaccess(HMA)scheme for service-oriented resource allocation scheme is proposed in supporting diverse MTC services for resource constrained devices and networks.In the proposed scheme,HMA allows MTC devices to choose a suitable type of multiple access technique according to their channel conditions,power constraints,and quality of service(QoS)requirements.To support service-oriented resource allocation,the physical network is firstly sliced into several virtualized networks based on QoS requirements and hardware conditions of MTC devices.A novel utility function integrating network performance and the power consumption in MTC devices is proposed.Furthermore,the resource allocation problem is formulated as an optimization problem to maximize the different utility functions under constraints of user QoS requirements and maximum transmitted power.To improve computational capacity as well as reduce the operational latency,a cloud-edge collaborative scheme is further designed to share the computation loads between the cloud and edge.Simulation results demonstrate the proposed service-oriented resource allocation scheme is effective and illustrate that the proposed hybrid multiple access method provides better performance than NOMA in terms of effective energy efficiency.

近距无线通信组网拓扑技术

针对精确制导武器的新质作战需求,文中以无线电气设计为核心技术方向实现产品模块化设计,以解决灵活组网、抗毁重构和动态拓扑等问题。采用Ad Hoc组网架构、广义编码和无源多址接入技术,实现快速、灵活、稳定的信息交互。通过混合式路由设计,在金属舱网络中划分子网并实施先应式路由和反应式路由,并引入地界标思想以减少多制式通信影响。通过提前规定所有事件的时序和优先级,建立简易事件类型库,并在节点间备份存储,同时采用边界广播协议实现目的节点快速抵达网关节点。研究结果表明,所提方案满足了武器功能模块化设计的需求,通过无线通信网络的组网和路由协议设计,实现了灵活组网、抗毁重构、动态拓扑和多制式通信等能力特点。

Design and Analysis of a Compact Band Notch UWB Antenna for Body Area Network

This paper presents the design of a small printed ultra wideband antenna with Band Notched characteristics. Both the free space and on-body performances of this antenna were investigated through simulation. The newly designed UWB antenna is more revised small form factor sized, with the ability to avoid interference caused by WLAN (5.15 - 5.825 GHz) and WiMAX (5.25 - 5.85 GHz) systems with a band notch. The return loss response, gain, radiation pattern on free space of the antenna were investigated. After that, the on-body performances were tested on 3-layer human body model with radiation pattern, gain, return loss, and efficiency at 3.5, 5.7, 8, 10 GHz and all the results were compared with free space results. As the on-body performance was very good, the proposed antenna will be suitable to be used for multi-purpose medical applications and sports performance monitoring.

SCMA-D2D混合网络卷积自编码器

为满足物联网通信大连接、低功耗的需求,高效利用有限的频谱资源成为一项重要的挑战。在应用了稀疏码分多址接入(SCMA)技术的蜂窝网络中增加设备对设备(D2D)用户对,两者共享频谱资源,可以进一步提高频谱利用率,满足大规模连接和低功耗的通信需求。然而,当不同类型的用户共享相同的频谱资源时会导致严重的用户间干扰,导致多用户检测精度降低,译码复杂度增高。本文使用卷积神经网络(CNN)进行SCMA-D2D混合网络自编码器设计,通过端到端的联合训练,设计出合适的神经网络结构。用CNN单元实现混合网络的编码,学习SCMA蜂窝用户和D2D用户的有效码本;将混合网络的多用户检测问题建模为一个基于共享层机制的多任务分类解码问题,建立多用户分类解码器。实验结果表明,本文提出的自编码器能够生成对系统适应性更强的码本,结合接收端的多任务分类解码器能够有效地提高整个混合网络系统的误码率性能,同时减小译码计算复杂度。

非坚持型载波监听多路访问机制对LoRa网络扩展性的影响

LoRaWAN是低功耗广域网(LPWAN)中的一种无线通信标准,为物联网的发展提供了支撑。然而,受限于扩频因子(SF)间不完全正交性的特点和LoRaWAN不具备先听后发(LBT)机制的事实,基于ALOHA的传输调度方式会引发严重的信道冲突,极大降低了LoRa(Long Range Radio)网络的扩展性。为提高LoRa网络的扩展性,提出用非坚持型载波监听多路访问(NP-CSMA)机制替代LoRaWAN中ALOHA的介质访问控制机制,通过LBT协调LoRa网络中SF相同的各个节点接入信道的时间。不同SF之间的传输则采用多种SF信号并行传输,以减少共信道中同SF干扰和避免SF间干扰。为了分析NP-CSMA对LoRa网络扩展性的影响,通过理论分析和NS3仿真对LoRaWAN与NP-CSMA构建的LoRa网络进行比较。实验结果表明,在相同的条件下,与LoRaWAN相比,NP-CSMA在网络通信负载率为1的情况下,它的理论数据包交付率(PDR)性能比LoRaWAN高58.09%。在信道利用率方面,与LoRaWAN相比,NP-CSMA的饱和信道利用率提高了214.9%,容纳的节点数量也增加了60.0%。另外,NP-CSMA的平均时延在网络通信负载率小于1.7时也低于确认型LoRaWAN,而且在扩频因子为7和10时,它用于维持信道活动检测(CAD)模式所造成的额外能耗也比LoRaWAN用于接收来自网关确认消息所需的额外能耗低1.0~1.3 mJ和2.5~5.1 mJ;充分反映了NP-CSMA可以有效提高LoRa网络的可扩展性。

光码分多址通信技术研究

介绍了光码分多址的技术原理。综述电子科技大学光纤通信重点实验室在波分复用/光码分多址混合网络、光正交码构作、码间干扰和双极性OCDMA系统等OCDMA通信技术方面所进行的研究工作和成果,最后指出了OCDMA系统的技术优势和面临的问题。

基于AMR-WB编解码器的移动网络话音传输抗丢包算法

针对移动通信网络中AMR-WB编解码器在话音分组传输中的抗丢包问题,提出了一种与VoLTE系统中语音编码速率相匹配的AMR-WB抗丢包实现方案.通过实验分析AMR-WB编解码器中经过错误隐藏恢复的各个参数对语音质量的影响,利用多描述编码(multiple description coding,MDC)技术设计了AMR-WB抗丢包方案,并进一步结合删余卷积编码提出了双重差错保护的增强型抗丢包算法,实现了多码率下的差错保护和速率匹配,该方案可兼容原有AMR-WB编码模式下的语音编码速率.仿真结果表明,提出的新方案能够增强AMR-WB的抗丢包能力,并且不需要增加额外的信令开销,兼容现有系统网络中的多速率语音编码.

Ad Hoc网络中基于拓扑透明特性的混合MAC协议(英文)

针对adhoc网络,提出了基于拓扑透明特性的混合MAC协议——TTHM协议(topology-transparent hybrid MAC protocol).TTHM协议在T-TSMA(threaded time spread multiple access protocol)协议所提出的螺纹协议机制的基础上引入了混合接入策略,能够根据当前的网络拓扑与业务负载,有效利用节点的分配与未分配时隙来进行报文传输.由于TTHM协议具有拓扑透明特性且克服了最大节点密度限制,因此便于分布式应用.仿真结果表明,TTHM协议比T-TSMA协议表现出更好的性能优势.

Ergodic sum rate for uplink NOMA transmission in satellite-aerial-ground integrated networks

The application of Non-Orthogonal Multiple Access(NOMA) technology into satelliteaerial-ground integrated networks can meet the requirements of ultra-high rate and massive connectivity for the Sixth-Generation(6G) communication systems. We consider an uplink NOMA scenario for such a satellite-aerial-ground integrated network where multiple users communicate with satellite under the help of an Unmanned Aerial Vehicle(UAV) as an aerial relay equipped with a phased array. Supposing that buffer-aided decode-and-forward protocol is adopted at the UAV relay, we first formulate an optimization problem to maximize Ergodic Sum Rate(ESR) of the considered system subject to individual power constraint and quality-of-service constraint of each user.Then, with known imperfect channel state information of each user, we propose a joint power allocation and robust Beam Forming(BF) iterative algorithm to maximize ESR for the user-to-UAV link. Besides, to take the advantages of Free-Space Optical(FSO) and millimeter Wave(mmWave)communications, we present a switch-based hybrid FSO/mmWave scheme and a robust BF algorithm for the UAV-to-satellite link to achieve higher rate. Moreover, a closed-form ESR expression is derived. Finally, the effectiveness and correctness of the proposed solutions are verified by numerical simulations, and the performance evaluation results show that the proposed solutions not only achieve performance enhancement and robustness, but also outperform the orthogonal multiple access significantly.

VANET中基于协议序列及TDMA的混合信道接入机制

为了提高高速公路场景下用户平均有效数据吞吐量,提出车载自组织网络分布式信道接入机制.通过道路区段划分实现协议序列集复用;通过引入少量反馈并利用UI(User Irrepressibility)序列特性实现节点间接入顺序感知;同区段节点间利用分布式TDMA(Time Division Multiple Access)模式最大化吞吐量.仿真结果表明,其吞吐量性能优于经典的基于GNSS(Global Navigation Satellite Systems)的机制,并且物理层数据传输速率越大,节点通信半径越大,车辆密度越稀疏,其优势越明显.

基于UWB-MIMO的无线传感器网络系统优化

为解决无线传感器网络存在的信息传输瓶颈问题和使用的窄带载波技术的缺陷,本文将超宽带(UWB)和多输入多输出(MIMO)传输技术融入到无线传感器网络(WSN),提出了一种新的通信系统模型,推导了信道传输矩阵,可以采用进化计算算法进行优化以提高通信质量.仿真实验表明,采用多子代离散粒子群(MDPSO)算法优化系统模型传输机制,能够充分利用带宽、降低误码率,并能够提高传输机制的信道容量.

基于UWB的工业无线监控网络MAC协议设计

将超宽带技术应用于工业无线网络,分析基于脉冲的超宽带技术特点——低复杂度、低功耗、低成本、抗多径衰落、抗干扰、定位性好。讨论MAC层协议的同步和定位性这2个关键问题,提出MAC层的设计思想和解决方案。仿真实验表明了该方案的正确性。

UWB技术在有线电视网中的应用

超宽带(UltraWideband,UWB)技术是近几年发展起来的一项十分有潜力的无线通信技术,以其高性能、低 成本的无线数据通信能力,成为实现无线个人局域网的富有竞争力的技术之一。依据超宽带技术的主要特点,讨论了该技 术在有线电视网中应用的优势及其实现,这不仅为解决有线电视网带宽“瓶颈”问题提供了有效的方案,也使UWB技术得 到了更广泛的应用。

后3G时代，LTE异军突起

介绍了下一代无线网络LTE(Long Term Evolution,长期演进)的背景和发展状况。分析了LTE的技术特征,阐述了网络结构与核心技术,并通过与WiFi(WirelessFidelity)及Wimax(World wide Inter operability for Microwave Access)的各项性能作比较,着重分析了LTE的技术优势。最后,指出了LTE在个人通信市场所面临的应用前景与挑战。

超宽带技术下混合无线网络容量的理论研究

在混合无线网络中引入超宽带技术,建立了相应的网络模型.数据在网络中采用多跳或基站传输,通过分析得到超宽带技术下多跳传输占用的带宽,采用码分多址的接入方式,以小区为单位分析多跳传输与基站传输各自承载数据的能力,运用以往的研究成果和极限定理推导了超宽带技术下混合无线网络容量上限与下限的数学分析表达式.数值模拟说明在自组织网络中添加基站构造混合无线网络是提高容量的有效手段,将超宽带技术引入混合无线网络可以极大地改善网络容量的性能.

基于超宽带的工业无线网络研究

自2002年以来,基于超宽带技术的商业化应用日益普遍,也激起了科研工作者将这一技术应用于无线网络的研究兴趣.结合工业无线网络这一具有现实应用意义的研究课题,对基于超宽带的工业网络技术进行了研究,认为:超宽带技术具有较强的抗干扰能力,能够提高网络传输的可靠性,降低延时,更适用于工业Adhoc网络.

HFC网回传通道中的调制技术

由于ＨＦＣ（光缆同轴电缆混合）网采用了树形分支型结构，使来自用户端和电缆网的噪声汇聚，形成了回传（反向）通道中的噪声漏斗效应，需采用多址复用的调制方式。讨论了几种用于ＨＦＣ回传通道中的多址接入技术，比较了它们在各种干扰下的性能及容量。