多载波无线携能通信的上下行链路联合资源分配

崔苗; 喻鑫; 李学易; 张广驰; 刘怡俊; 林凡

doi:10.11959/j.issn.1000-436x.2019052

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多载波无线携能通信的上下行链路联合资源分配

学术通信 | 更新时间：2024-06-05

- 多载波无线携能通信的上下行链路联合资源分配
- Joint downlink and uplink resource allocation for multi-carrier SWIPT system
- 通信学报 2019年40卷第3期页码：206-214
- 作者机构：
  
  1. 广东工业大学信息工程学院，广东广州 510006
  2. 广州杰赛科技股份有限公司，广东广州 510310
- 作者简介：
  
  [ "崔苗（1978- ），女，新疆昌吉人，博士，广东工业大学讲师，主要研究方向为新一代无线通信技术。" ]
  [ "喻鑫（1993- ），男，湖北随州人，广东工业大学硕士生，主要研究方向为无线携能通信技术。" ]
  [ "李学易（1974- ），男，四川乐山人，博士，广东工业大学讲师，主要研究方向为协作无线通信、通信信号处理。" ]
  [ "张广驰（1982- ），男，广东广州人，博士，广东工业大学教授，主要研究方向为5G无线通信、无人机通信、无线能量传输、资源分配、物理层安全等。" ]
  [ "刘怡俊（1976- ），男，江西于都人，博士，广东工业大学教授，主要研究方向为类脑计算机、人工智能、新型计算机系统结构和面向应用的集成电路设计。" ]
  [ "林凡（1983- ），男，浙江温州人，广州杰赛科技股份有限公司高级工程师，主要研究方向为智慧城市和新一代无线通信。" ]
- 基金信息：
  
  国家自然科学基金资助项目(61571138);广东省科技计划基金资助项目(2017B090909006);广东省科技计划基金资助项目(2016B090904001);广东省科技计划基金资助项目(2016B090919031)
- DOI：10.11959/j.issn.1000-436x.2019052
  中图分类号： TN915
- 网络首发：2019-03，
  
  纸质出版：2019-03-25
- 稿件说明：
移动端阅览
崔苗, 喻鑫, 李学易, 等. 多载波无线携能通信的上下行链路联合资源分配[J]. 通信学报, 2019,40(3):206-214.

Miao CUI, Xin YU, Xueyi LI, et al. Joint downlink and uplink resource allocation for multi-carrier SWIPT system[J]. Journal on Communications, 2019, 40(3): 206-214.
崔苗, 喻鑫, 李学易, 等. 多载波无线携能通信的上下行链路联合资源分配[J]. 通信学报, 2019,40(3):206-214. DOI： 10.11959/j.issn.1000-436x.2019052.

Miao CUI, Xin YU, Xueyi LI, et al. Joint downlink and uplink resource allocation for multi-carrier SWIPT system[J]. Journal on Communications, 2019, 40(3): 206-214. DOI： 10.11959/j.issn.1000-436x.2019052.

摘要

研究了由基站和用户组成的多载波无线携能通信系统，其上行链路和下行链路均采用正交频分复用技术。在下行链路中，基站同时向用户完成信息和能量的传输；在上行链路中，用户利用从基站接收的能量向基站回传信息。以最大化上下行链路加权和速率为目标，联合优化上下行链路的子载波分配和功率分配，提出了基于拉格朗日对偶法和椭球法的最优子载波与功率联合分配算法。实验仿真验证了所提算法的有效性。

Abstract

A multi-carrier simultaneous wireless information and power transfer (SWIPT) communication system including one base station (BS) and one user was investigated

where both uplink and downlink adopt orthogonal frequency division multiplexing (OFDM).In the downlink

the BS transmited information and power to the user simultaneously.In the uplink

the user transmited information to the BS by using the power harvested from the BS in the downlink.The weighted sum of the downlink and uplink achievable rates by jointly optimizing subcarrier allocation and power allocation of the uplink and downlink were aimed to maximized.An optimal algorithm to solve the joint resource allocation problem was proposed

which was based on the Lagrange duality method and the ellipsoid method.Finally

the result shows the performances of the proposed algorithm by computer simulations.

关键词

Keywords

references

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