Resource allocation in underwater acoustic OFDMA downlink systems

Zhaobang Chen; Senlin Zhang; Meiqin Liu; Ronghao Zheng

doi:10.1145/3291940.3291987

Resource allocation in underwater acoustic OFDMA downlink systems

Zhaobang Chen
, Senlin Zhang
, Meiqin Liu
, Ronghao Zheng

College of Artificial Intelligence and Robotics

Zhejiang University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

It is important to effectively allocate resources in an underwater acoustic orthogonal frequency division multiple access (OFDMA) downlink system. Traditional resource allocation algorithms in radio usually have high computational complexity, which is not suitable for the fast time-varying underwater environment. In this paper, a rate adaptive resource allocation algorithm is investigated in which subcarrier and power allocation are carried out sequentially to reduce the process’ computational complexity. During the subcarrier allocation, an algorithm based on a rate constrained by what satisfies the minimum rate request is proposed. Then by combining subcarrier allocation and channel state information, an approximate suboptimal power algorithm is proposed. Compared with the root-finding and linear methods, the proposed algorithm has a higher sum rate and relatively lower computational complexity under poor underwater acoustic communication (UAC).

Original language	English
Title of host publication	Proceedings of the 13th ACM International Conference on Underwater Networks and Systems, WUWNet 2018
Publisher	Association for Computing Machinery
ISBN (Electronic)	9781450361934
DOIs	https://doi.org/10.1145/3291940.3291987
State	Published - 3 Dec 2018
Event	13th ACM International Conference on Underwater Networks and Systems, WUWNet 2018 - Shenzhen, China Duration: 3 Dec 2018 → 5 Dec 2018

Publication series

Name	ACM International Conference Proceeding Series

Conference

Conference	13th ACM International Conference on Underwater Networks and Systems, WUWNet 2018
Country/Territory	China
City	Shenzhen
Period	3/12/18 → 5/12/18

Keywords

Orthogonal Frequency Division Multiple Access
Resource Allocation
Underwater Acoustic Channels
Underwater Acoustic Communication

Access to Document

10.1145/3291940.3291987

Cite this

@inproceedings{2c1c158a845d41ebaecb1892e0aa0e63,

title = "Resource allocation in underwater acoustic OFDMA downlink systems",

abstract = "It is important to effectively allocate resources in an underwater acoustic orthogonal frequency division multiple access (OFDMA) downlink system. Traditional resource allocation algorithms in radio usually have high computational complexity, which is not suitable for the fast time-varying underwater environment. In this paper, a rate adaptive resource allocation algorithm is investigated in which subcarrier and power allocation are carried out sequentially to reduce the process{\textquoteright} computational complexity. During the subcarrier allocation, an algorithm based on a rate constrained by what satisfies the minimum rate request is proposed. Then by combining subcarrier allocation and channel state information, an approximate suboptimal power algorithm is proposed. Compared with the root-finding and linear methods, the proposed algorithm has a higher sum rate and relatively lower computational complexity under poor underwater acoustic communication (UAC).",

keywords = "Orthogonal Frequency Division Multiple Access, Resource Allocation, Underwater Acoustic Channels, Underwater Acoustic Communication",

author = "Zhaobang Chen and Senlin Zhang and Meiqin Liu and Ronghao Zheng",

note = "Publisher Copyright: {\textcopyright} 2018 Association for Computing Machinery.; 13th ACM International Conference on Underwater Networks and Systems, WUWNet 2018 ; Conference date: 03-12-2018 Through 05-12-2018",

year = "2018",

month = dec,

day = "3",

doi = "10.1145/3291940.3291987",

language = "英语",

series = "ACM International Conference Proceeding Series",

publisher = "Association for Computing Machinery",

booktitle = "Proceedings of the 13th ACM International Conference on Underwater Networks and Systems, WUWNet 2018",

}

Chen, Z, Zhang, S, Liu, M & Zheng, R 2018, Resource allocation in underwater acoustic OFDMA downlink systems. in Proceedings of the 13th ACM International Conference on Underwater Networks and Systems, WUWNet 2018., 26, ACM International Conference Proceeding Series, Association for Computing Machinery, 13th ACM International Conference on Underwater Networks and Systems, WUWNet 2018, Shenzhen, China, 3/12/18. https://doi.org/10.1145/3291940.3291987

Resource allocation in underwater acoustic OFDMA downlink systems. / Chen, Zhaobang; Zhang, Senlin; Liu, Meiqin et al.
Proceedings of the 13th ACM International Conference on Underwater Networks and Systems, WUWNet 2018. Association for Computing Machinery, 2018. 26 (ACM International Conference Proceeding Series).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Resource allocation in underwater acoustic OFDMA downlink systems

AU - Chen, Zhaobang

AU - Zhang, Senlin

AU - Liu, Meiqin

AU - Zheng, Ronghao

PY - 2018/12/3

Y1 - 2018/12/3

N2 - It is important to effectively allocate resources in an underwater acoustic orthogonal frequency division multiple access (OFDMA) downlink system. Traditional resource allocation algorithms in radio usually have high computational complexity, which is not suitable for the fast time-varying underwater environment. In this paper, a rate adaptive resource allocation algorithm is investigated in which subcarrier and power allocation are carried out sequentially to reduce the process’ computational complexity. During the subcarrier allocation, an algorithm based on a rate constrained by what satisfies the minimum rate request is proposed. Then by combining subcarrier allocation and channel state information, an approximate suboptimal power algorithm is proposed. Compared with the root-finding and linear methods, the proposed algorithm has a higher sum rate and relatively lower computational complexity under poor underwater acoustic communication (UAC).

AB - It is important to effectively allocate resources in an underwater acoustic orthogonal frequency division multiple access (OFDMA) downlink system. Traditional resource allocation algorithms in radio usually have high computational complexity, which is not suitable for the fast time-varying underwater environment. In this paper, a rate adaptive resource allocation algorithm is investigated in which subcarrier and power allocation are carried out sequentially to reduce the process’ computational complexity. During the subcarrier allocation, an algorithm based on a rate constrained by what satisfies the minimum rate request is proposed. Then by combining subcarrier allocation and channel state information, an approximate suboptimal power algorithm is proposed. Compared with the root-finding and linear methods, the proposed algorithm has a higher sum rate and relatively lower computational complexity under poor underwater acoustic communication (UAC).

KW - Orthogonal Frequency Division Multiple Access

KW - Resource Allocation

KW - Underwater Acoustic Channels

KW - Underwater Acoustic Communication

UR - https://www.scopus.com/pages/publications/85059958585

U2 - 10.1145/3291940.3291987

DO - 10.1145/3291940.3291987

M3 - 会议稿件

AN - SCOPUS:85059958585

T3 - ACM International Conference Proceeding Series

BT - Proceedings of the 13th ACM International Conference on Underwater Networks and Systems, WUWNet 2018

PB - Association for Computing Machinery

T2 - 13th ACM International Conference on Underwater Networks and Systems, WUWNet 2018

Y2 - 3 December 2018 through 5 December 2018

ER -

Resource allocation in underwater acoustic OFDMA downlink systems

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Keywords

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