一种水声协作通信网络顽健功率分配算法

李鑫滨; 张玲梅; 韩松; 黄志鹏; 刘志新

doi:10.11959/j.issn.1000−0801.2019008

您当前的位置：

首页 >

文章列表页 >

一种水声协作通信网络顽健功率分配算法

研究与开发 | 更新时间：2024-06-05

- 一种水声协作通信网络顽健功率分配算法
- A robust power allocation algorithm for underwater acoustic cooperative communication network
- 电信科学 2019年35卷第1期页码：44-53
- 作者机构：
- 作者简介：
  
  [ "李鑫滨（1969− ），男，博士，燕山大学计算机控制工程河北省重点实验室教授、博士导师，主要研究方向为水声通信网络优化、多机器人控制与优化、水下目标定位追踪算法研究。" ]
  [ "张玲梅（1993− ），女，燕山大学计算机控制工程河北省重点实验室硕士生，主要研究方向为水声通信网络资源分配。" ]
  [ "韩松（1989− ），男，燕山大学计算机控制工程河北省重点实验室博士生，主要研究方向为水声通信网络资源分配。" ]
  [ "黄志鹏（1994− ），男，燕山大学计算机控制工程河北省重点实验室硕士生，主要研究方向为水声协作通信网络资源分配。" ]
  [ "刘志新（1976− ），男，博士，燕山大学计算机控制工程河北省重点实验室教授，主要研究为无线网络资源分配。" ]
- 基金信息：
  
  国家自然科学基金资助项目;The National Natural Science Foundation of China(No.61571387);国家自然科学基金资助项目;The National Natural Science Foundation of China(No.61873224)
- DOI：10.11959/j.issn.1000−0801.2019008
  中图分类号： TN929.3
- 网络出版日期：2019-01，
  
  纸质出版日期：2019-01-20
- 稿件说明：
移动端阅览
李鑫滨, 张玲梅, 韩松, 等. 一种水声协作通信网络顽健功率分配算法[J]. 电信科学, 2019,35(1):44-53.

Xinbin LI, Lingmei ZHANG, Song HAN, et al. A robust power allocation algorithm for underwater acoustic cooperative communication network[J]. Telecommunications science, 2019, 35(1): 44-53.
李鑫滨, 张玲梅, 韩松, 等. 一种水声协作通信网络顽健功率分配算法[J]. 电信科学, 2019,35(1):44-53. DOI： 10.11959/j.issn.1000−0801.2019008.

Xinbin LI, Lingmei ZHANG, Song HAN, et al. A robust power allocation algorithm for underwater acoustic cooperative communication network[J]. Telecommunications science, 2019, 35(1): 44-53. DOI： 10.11959/j.issn.1000−0801.2019008.

摘要

针对水声协作通信网络中节点生存时间短、信道状态信息不确定、通信服务质量差等问题，提出一种考虑剩余能量的顽健功率分配算法。首先，在目标函数中考虑了节点的剩余能量，使节点的发射功率与剩余能量成正比关系变化，从而平衡节点能耗，延长生存时间。其次，将不确定性引入目标函数，提高了对抗水下环境不确定性的能力。同时，还考虑了最小的通信容量需求，确保通信服务质量。仿真结果证明了提出的算法延长了生存时间，优化了系统性能。

Abstract

In consideration of the issues of the survival time of node

the uncertainness of channel state information and the poor quality of the service in underwater acoustic cooperative communication network

a robust power allocation algorithm was proposed. Firstly

the residual energy of node was considered in the optimization function

and the change of transmitted power was proportional to the remaining energy

thereby balancing the energy consumption and increasing the survival time of the nodes. Secondly

the uncertainty was further introduced into the optimization function to improve the ability of against uncertainty in underwater. At the same time

in order to make sure that the quality of the service

the minimum communication capacity requirements were considered in the optimization function. The simulation results show that the proposed algorithm not only extends the survival time of node

but also improves the performance of system.

关键词

Keywords

references

HEIDEMANN J , YE W , WILLS J , et al . Research challenges and applications for underwater sensor networking [C ] // Wireless Communications & Networking Conference April 3 - 6 , 2006 , Las Vegas, USA . Piscataway : IEEE Press , 2006 ( 1 ): 228 - 235 .

HAN Z , SUN Y L , SHI H . Cooperative transmission for underwater acoustic communications [C ] // IEEE International Conference on Communications , May 19 - 23 , 2008 , Beijing, China . Piscataway : IEEE Press , 2008 : 2028 - 2032 .

HAN S , LI X , YAN L , et al . Game-based hierarchical multi-armed bandit learning algorithm for joint channel and power allocation in underwater acoustic communication networks [J ] . Neurocomputing , 2018 ( 289c ): 166 - 179 .

赵季红，何强，曲桦，等 . 蜂窝网络中全双工 D2D 通信功率控制 [J ] . 电信科学， 2017 , 33 ( 3 ): 1 - 7 .

ZHAO J H , HE Q , QU H , et al . Power control for full-duplex D2D communications underlaying cellular networks [J ] . Telecommunications Science , 2017 , 33 ( 3 ): 1 - 7 .

LIU Z , YUAN H , LI H , et al . Robust power control for amplify-and-forward relaying scheme [J ] . IEEE Communications Letters , 2015 , 19 ( 2 ): 263 - 266 .

LIU L , HUA C , CHEN C , et al . Power allocation for virtual MIMO-based three-stage relaying in wireless ad hoc networks [J ] . IEEE Transactions on Wireless Communications , 2014 , 13 ( 12 ): 6528 - 6541 .

YU Y , HUA Y . Power allocation for a MIMO relay system with multiple-antenna users [J ] . IEEE Transactions on Signal Processing , 2010 , 58 ( 5 ): 2823 - 2835 .

曹欢欢，宋康，李春国，等 . 无线充电的水声通信系统资源分配方案 [J ] . 东南大学学报 ( 自然科学版 )， 2016 , 46 ( 5 ): 923 - 927 .

CAO H H , SONG K , LI C G , et al . Resource allocation scheme of wireless charging for underwater acoustic communication system [J ] . Journal of Southeast University ( Natural Science Edition ), 2016 , 46 ( 5 ): 923 - 927 .

CHOUDHURI C , MITRA U . Capacity bounds and power allocation for underwater acoustic relay channels with ISI [C ] // ACM International Workshop on UnderWater Networks , Nov 3 , 2009 , Berkeley, USA . New York : ACM Press , 2009 : 6 .

刘自鑫，金志刚，苏毅珊，等 . 基于长延时信道的水下传感器网络中继选择及功率分配优化算法 [J ] . 计算机应用， 2014 , 34 ( 7 ): 1951 - 1955 .

LIU Z X , JIN Z G , SU Y S , et al . Relay selection and power allocation optimization algorithm based on long delay channel for underwater sensor network [J ] . Computer Application , 2014 , 34 ( 7 ): 1951 - 1955 .

WANG P , ZHANG X , SONG M . Power-efficient resource allocation for QoS provisioning in underwater MIMO-OFDM acoustic cooperative wireless networks [C ] // Globecom Workshops , Dec 9 - 13 , 2013 , Atlanta GA, USA . Piscataway : IEEE Press , 2013 : 4674 - 4678 .

LIU L , HUA C , CHEN C , et al . Semi distributed relay selection and power allocation for outage minimization in cooperative relaying networks [J ] . IEEE Transactions on Vehicular Technology , 2017 , 66 ( 1 ): 295 - 305 .

方昕，刘云驹，曹海燕，等 . 大规模 MIMO 系统中低复杂度的稀疏信道估计 [J ] . 电信科学， 2016 , 32 ( 5 ): 89 - 95 .

FANG X , LIU Y J , CAO H Y , et al . Low-complexity sparse channel estimation for massive MIMO systems [J ] . Telecommunications Science , 2016 , 32 ( 5 ): 89 - 95 .

LI C , SONG K , YANG L . Low computational complexity design over sparse channel estimator in underwater acoustic OFDM communication system [J ] . IET Communications , 2017 , 11 ( 7 ): 1143 - 1151 .

PANAYIRCI E , SENOL H , UYSAL M , et al . Sparse channel estimation and equalization for OFDM-based underwater cooperative systems with amplify-and-forward relaying [J ] . IEEE Transactions on Signal Processing , 2016 , 64 ( 1 ): 214 - 228 .

ZHANG X , SONG K , LI C , et al . Parameter estimation for multi-scale multi-lag underwater acoustic channels based on modified particle swarm optimization algorithm [J ] . IEEE Access , 2017 ( 5 ): 4808 - 4820 .

CHEN P , RONG Y , NORDHOLM S , et al . Joint channel and impulsive noise estimation in underwater acoustic OFDM systems [J ] . IEEE Transactions on Vehicular Technology , 2017 , 66 ( 11 ): 10567 - 10571 .

CHENG X , CAO R , QU F , et al . Relay-aided cooperative underwater acoustic communications: selective relaying [C ] // OCEANS , May 21 - 24 , 2012 , YeoSu, Korea . Piscataway : IEEE Press , 2012 : 1 - 7 .

YANG K , WU Y , HUANG J , et al . Distributed robust optimization for communication networks [C ] // The 27th Conference on Computer Communications , May 2 , 2008 , Phoenix, USA . Piscataway : IEEE Press , 2008 : 1157 - 1165 .

ZHU K , HOSSAIN E , ANPALAGAN A . Downlink power control in two-tier cellular OFDMA networks under uncertainties: a robust stackelberg game [J ] . IEEE Transactions on Communications , 2015 , 63 ( 2 ): 520 - 535 .

浏览量

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

增强型斑马优化算法及其在SDWN功率分配中的应用

基于MBER的联合预编码与空时编码GFDM功率分配策略

多载波多用户下行NOMA系统的资源分配算法

TD-LTE电力无线专网中射频失配下MIMO功率分配算法

空天地通信网络的物理层安全系统模型与关键技术