Efficient resource allocation scheduling for MIMO-OFDMA-CR downlink systems

In this paper, we consider the resource allocation problem in a Cognitive Radio (CR) downlink system employing both Orthogonal Frequency Division Multiple Access (OFDMA) and Multiple-Input Multiple-Output (MIMO) technologies. We aim at maximizing the total cognitive system throughput subject to the...

Full description

Saved in:
Bibliographic Details
Published in:International Conference on Wireless Communications and Signal Processing pp. 1 - 5
Main Authors: Huijin Cao, Jun Cai, Alfa, Attahiru, Zhen Zhao
Format: Conference Proceeding
Language:English
Published: IEEE 01.10.2016
Subjects:
Binary Linear Programming
Cognitive Radio
Computational complexity
Downlink
Interference
Loading
MIMO
OFDMA
Resource Allocation
Resource management
Throughput
ISSN:2472-7628
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Abstract In this paper, we consider the resource allocation problem in a Cognitive Radio (CR) downlink system employing both Orthogonal Frequency Division Multiple Access (OFDMA) and Multiple-Input Multiple-Output (MIMO) technologies. We aim at maximizing the total cognitive system throughput subject to the interference power constraint at the Primary Receiver (PR), the total transmission power constraint at the Secondary Base Station (SBS), and the Quality of Service (QoS) requirement for each SU in terms of the data rate and Bit Error Rate (BER). This joint resource allocation problem integrates subcarrier assignment, power allocation, bit loading, and interference management, and can be formulated as a Binary Linear Programming (BLP) framework. Although the Branch and Bound (BnB) algorithm is a general approach to obtain the optimal solution for a BLP problem, it is impractical in this joint resource allocation problem due to the high computational complexity. In order to provide a good balance between performance and computational complexity, a Novel Two-Step based (NTS) algorithm is proposed in this paper. Numerical results show that the NTS algorithm can reduce the computational complexity significantly with only marginal performance degradation.
AbstractList In this paper, we consider the resource allocation problem in a Cognitive Radio (CR) downlink system employing both Orthogonal Frequency Division Multiple Access (OFDMA) and Multiple-Input Multiple-Output (MIMO) technologies. We aim at maximizing the total cognitive system throughput subject to the interference power constraint at the Primary Receiver (PR), the total transmission power constraint at the Secondary Base Station (SBS), and the Quality of Service (QoS) requirement for each SU in terms of the data rate and Bit Error Rate (BER). This joint resource allocation problem integrates subcarrier assignment, power allocation, bit loading, and interference management, and can be formulated as a Binary Linear Programming (BLP) framework. Although the Branch and Bound (BnB) algorithm is a general approach to obtain the optimal solution for a BLP problem, it is impractical in this joint resource allocation problem due to the high computational complexity. In order to provide a good balance between performance and computational complexity, a Novel Two-Step based (NTS) algorithm is proposed in this paper. Numerical results show that the NTS algorithm can reduce the computational complexity significantly with only marginal performance degradation.
Author Alfa, Attahiru
Zhen Zhao
Huijin Cao
Jun Cai
Author_xml – sequence: 1
  surname: Huijin Cao
  fullname: Huijin Cao
– sequence: 2
  surname: Jun Cai
  fullname: Jun Cai
– sequence: 3
  givenname: Attahiru
  surname: Alfa
  fullname: Alfa, Attahiru
– sequence: 4
  surname: Zhen Zhao
  fullname: Zhen Zhao
BookMark eNotj8tOwzAURA0CiVL6AYiNfyDl-jpO7GUVWqhoVMRDLCvHuQZDmqA4FerfU4muZjFnjjSX7KztWmLsWsBUCDC378XL0xRBZNM8V6i0PGETk2uhwADqDOQpG2GaY5JnqC_YJMYvgAMulMF0xB7n3gcXqB14T7Hb9Y64bZrO2SF0LY_uk-pdE9oP7ruel8tynawXd-UsKZ553f22h-qbx30caBuv2Lm3TaTJMcfsbTF_LR6S1fp-WcxWSRC5GpJa-xohFa4C8No4sGRBVNpnFYKUlUKBlU9JW5M6VEROay0dmsro9LCTY3bz7w1EtPnpw9b2-83xvvwDGMNPVQ
ContentType Conference Proceeding
DBID 6IE
6IL
CBEJK
RIE
RIL
DOI 10.1109/WCSP.2016.7752583
DatabaseName IEEE Electronic Library (IEL) Conference Proceedings
IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume
IEEE Xplore All Conference Proceedings
IEEE Xplore
IEEE Proceedings Order Plans (POP All) 1998-Present
DatabaseTitleList
Database_xml – sequence: 1
  dbid: RIE
  name: IEEE Xplore
  url: https://ieeexplore.ieee.org/
  sourceTypes: Publisher
DeliveryMethod fulltext_linktorsrc
Discipline Engineering
EISBN 9781509028603
1509028609
EISSN 2472-7628
EndPage 5
ExternalDocumentID 7752583
Genre orig-research
GroupedDBID 6IE
6IF
6IH
6IK
6IL
6IN
AAJGR
AAWTH
ABLEC
ADZIZ
ALMA_UNASSIGNED_HOLDINGS
BEFXN
BFFAM
BGNUA
BKEBE
BPEOZ
CBEJK
CHZPO
IEGSK
IPLJI
OCL
RIE
RIL
RNS
ID FETCH-LOGICAL-i175t-d8fd2041cb00f89c0aea01b8f6b2033b5212bf4e8a94c25eec8883c29b9840413
IEDL.DBID RIE
ISICitedReferencesCount 0
ISICitedReferencesURI http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000391540800141&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
IngestDate Wed Aug 27 01:48:47 EDT 2025
IsPeerReviewed false
IsScholarly true
Language English
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-i175t-d8fd2041cb00f89c0aea01b8f6b2033b5212bf4e8a94c25eec8883c29b9840413
PageCount 5
ParticipantIDs ieee_primary_7752583
PublicationCentury 2000
PublicationDate 2016-Oct.
PublicationDateYYYYMMDD 2016-10-01
PublicationDate_xml – month: 10
  year: 2016
  text: 2016-Oct.
PublicationDecade 2010
PublicationTitle International Conference on Wireless Communications and Signal Processing
PublicationTitleAbbrev WCSP
PublicationYear 2016
Publisher IEEE
Publisher_xml – name: IEEE
SSID ssj0001615924
Score 2.0061998
Snippet In this paper, we consider the resource allocation problem in a Cognitive Radio (CR) downlink system employing both Orthogonal Frequency Division Multiple...
SourceID ieee
SourceType Publisher
StartPage 1
SubjectTerms Binary Linear Programming
Cognitive Radio
Computational complexity
Downlink
Interference
Loading
MIMO
OFDMA
Resource Allocation
Resource management
Throughput
Title Efficient resource allocation scheduling for MIMO-OFDMA-CR downlink systems
URI https://ieeexplore.ieee.org/document/7752583
WOSCitedRecordID wos000391540800141&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV3JasMwEB2S0EN76ZKU7ujQY5XYsi3Jx5ImtLRZ6JpbsKQR5JIUJ-n3V7JN0kIvvQmDMIwQT29m3huA6yRROlMSqYkypLHVnCrBFEVHerQxTMlCX_H-JIZDOZmk4xrcbLQwiFg0n2HbL4tavlnotU-VdYRIWCKjOtSF4KVWa5tPcdDsuERVuAyDtPPRfRn73i3ervb9GqBS4Ed__39_PoDWVohHxhuIOYQazo9g74eHYBMee4UJhNtO8ioVT3wxvUzFEUdeHZh4zTlxz1MyeBiM6Kh_N7il3WdivFO-I6Ok9HNetuCt33vt3tNqQgKdOdhfUSOtYUEcand5rEx1kGEWhEparlgQRcoLc5WNUWZprFmCqB3hjTRLVerOwOHXMTTmizmeAOFWZVzpKEE_GVwLJd1LgoUKJbcB2vAUmj4s08_SBGNaReTs78_nsOsjX3a9XUBjla_xEnb012q2zK-Kk_sGy66bHg
linkProvider IEEE
linkToHtml http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV1NTwIxEJ0gmqgXP4D4bQ8eLex2t7vdo0EIBBaIonIj2-404QKGD3-_7e4GNPHirdmk2aST5vXNzHsD8MC5VIkUSFMvQeprFVAZMknRkB6VpkyKTF_x3g8HAzGZRKMSPG61MIiYNZ9h3S6zWn66UBubKmuEIWdceHuwz32fOblaa5dRMeBs2ERRunSdqPHRfB3Z7q2gXuz8NUIlQ5D2yf_-fQrVnRSPjLYgcwYlnJ_D8Q8XwQr0WpkNhNlOlkUynthyep6MI4a-GjixqnNiHqgk7sZDOmw_x0-0-UJS65Vv6CjJHZ1XVXhrt8bNDi1mJNCZAf41TYVOmeO7ylwfLSLlJJg4rhQ6kMzxPGmluVL7KJLIV4wjKkN5PcUiGZkoGASrQXm-mOMFkEDLJJDK42hng6tQCvOWYK5EEWgHtXsJFXss08_cBmNanMjV35_v4bAzjvvTfnfQu4YjG4W8B-4GyuvlBm_hQH2tZ6vlXRbFbw5bnmU
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&rft.genre=proceeding&rft.title=International+Conference+on+Wireless+Communications+and+Signal+Processing&rft.atitle=Efficient+resource+allocation+scheduling+for+MIMO-OFDMA-CR+downlink+systems&rft.au=Huijin+Cao&rft.au=Jun+Cai&rft.au=Alfa%2C+Attahiru&rft.au=Zhen+Zhao&rft.date=2016-10-01&rft.pub=IEEE&rft.eissn=2472-7628&rft.spage=1&rft.epage=5&rft_id=info:doi/10.1109%2FWCSP.2016.7752583&rft.externalDocID=7752583