反向散射通信网络资源分配综述

doi:10.11959/j.issn.2096-3750.2021.00215

Abstract

Abstract:

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.

Key words: wireless communications, backscatter communication, spectrum efficiency, resource allocation

CLC Number:

TP181

Yongjun XU, Haoke YANG, Yinghui YE, Qianbin CHEN, Guangyue LU. A survey on resource allocation in backscatter communication networks[J]. Chinese Journal on Internet of Things, 2021, 5(3): 56-69.

Figures/Tables 11

网络场景	读写器接收信号	反射信号	信噪比	优化问题			优化变量
网络场景	读写器接收信号	反射信号	信噪比	最大化吞吐量	能效最大		优化变量
传统BackCom	$\sqrt{α P g f} s (t) + n_{r} (t)$	$\sqrt{α P g} s (t) + n_{1} (t)$	$γ_{1} = \frac{α P g f}{σ_{r}^{2}}$	$max R_{1} = lb (1 + γ_{1})$	$max \frac{R_{1}}{E_{1}^{total}}$	α	功率分配	时间分配
环境BackCom	$\sqrt{P} (\sqrt{α g f} + \sqrt{h}) s (t) + n_{r} (t)$	$\sqrt{α P g} s (t) + n_{2} (t)$	$γ_{2} = \frac{α P g f}{σ_{r}^{2}}$	$max R_{2} = lb (1 + γ_{2})$	$max \frac{R_{2}}{E_{2}^{total}}$	α	功率分配	时间分配
双站BackCom	$\sqrt{P} (\sqrt{α g f} + \sqrt{h}) s (t) + n_{r} (t)$	$\sqrt{α P g} s (t) + n_{3} (t)$	$γ_{3} = \frac{α P g f}{σ_{r}^{2}}$	$max R_{3} = lb (1 + γ_{3})$	$max \frac{R_{3}}{E_{3}^{total}}$	α	功率分配	时间分配

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分类	技术特点	应用场景
WPT	只向设备供电	电动汽车、机器人
SWIPT	同时传输信息与收集能量	Ad Hoc网络
BackCom	低功耗、低成本	短距离RFID系统

网络模型	优点	不足	应用场景
传统BackCom网络	低功耗、系统结构简单	通信距离受限	短距离RFID系统
环境BackCom网络	不需要专用射频源	环境射频信号不稳定、不易获取	无线供电通信网络
双站BackCom网络	减少路径损耗	载波发射器成本较高、不易部署	RFID系统

网络类型	优点	不足	用户场景		优化目标
网络类型	优点	不足	用户场景	吞吐量	能效	最大最小效用
非中继单天线BackCom网络	结构简单	传输速率较低	单用户	[31-40]	[41-44]	[45-48]
			多用户	[49-57]	[58-59]	[60-66]
非中继多天线BackCom网络	大规模用户接入、提高系统容量	系统通信范围有限	单用户	—	[67]	—
			多用户	[69-72]	—	[73-75]

网络模型	优点	不足	用户场景	优化目标
网络模型	优点	不足	用户场景	吞吐量	其他问题
基于单天线的协作BackCom网络	结构简单、提高通信范围	传输速率较低	单用户	[78-80]	[81-82]
			多用户	[83-84]	[85]
基于多天线的协作BackCom网络	大规模用户接入、提高系统容量	能耗较高	单用户	[86-88]	—
			多用户	[89-94]	—

A survey on resource allocation in backscatter communication networks

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