摘要
随着物联网技术的发展,无线网络呈现出大规模用户接入、高功耗、高吞吐量需求等特点。为了满足传输和降低能耗的需求,反向散射通信技术被认为是解决上述问题最有效的方案之一。面对复杂的网络场景,提高网络的频谱效率、系统容量以及节点的能量管理,成为了当前反向散射通信资源分配领域亟待解决的问题。针对该问题,着重对反向散射通信网络资源分配算法进行了综述。首先,介绍了反向散射通信的基本概念,并对不同的反向散射通信网络架构进行了分析;然后,根据不同的网络类型、优化目标以及天线数量,对反向散射通信网络的资源分配算法进行了阐述;最后,对反向散射通信网络资源分配问题所面临的挑战以及未来的研究趋势进行了展望。
With the development of Internet of things(IoT)technology,wireless networks have the characteristics of massive user access,high power consumption,and high capacity requirements.In order to meet the transmission requirements and reduce energy consumption,backscatter communication technology was considered to be one of the most effective solutions to the above problems.In the fact of complex network scenarios,the improvement of spectrum efficiency,system capacity,and energy management has become an urgent problem of resource allocation areas in backscatter communications.For this problem,resource allocation algorithms in backscatter communications were surveyed.Firstly,the basic concept and different network architectures of backscatter communication were introduced.Then,resource allocation algorithms in backscatter communication networks were analyzed according to different network types,optimization objectives,and the number of antennas.Finally,the challenges and future research trends of resource allocation problems in backscatter communication networks were prospected.
作者
徐勇军
杨浩克
叶迎晖
陈前斌
卢光跃
XU Yongjun;YANG Haoke;YE Yinghui;CHEN Qianbin;LU Guangyue(School of Communication and Information Engineering,Chongqing University of Posts and Telecommunications,Chongqing 400065,China;Shaanxi Key Laboratory of Information Communication Network and Security,Xi’an University of Posts&Telecommunications,Xi’an 710121,China)
出处
《物联网学报》
2021年第3期56-69,共14页
Chinese Journal on Internet of Things
基金
国家自然科学基金资助项目(No.61601071,No.62071078)
重庆市自然科学基金面上项目(No.cstc2019jcyjxfkxX0002),陕西省信息通信网络及安全重点实验室开放课题(No.ICNS201904)
重庆市教委科学技术研究计划基金资助项目(No.KJQN201800606)
陕西省高校科协青年人才托举计划项目(No.20210121)。
关键词
无线通信
反向散射通信
频谱效率
资源分配
wireless communications
backscatter communication
spectrum efficiency
resource allocation