Home > Research > Publications & Outputs > Provisioning statistical QoS for coordinated co...

Electronic data

  • 1570266456

    Rights statement: ©2016 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

    Accepted author manuscript, 222 KB, PDF-document

    Available under license: CC BY-NC: Creative Commons Attribution-NonCommercial 4.0 International License

Links

Text available via DOI:

View graph of relations

Provisioning statistical QoS for coordinated communications with limited feedback

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution

Published
Close
Publication date4/12/2016
Host publicationGlobal Communications Conference (GLOBECOM), 2016 IEEE
PublisherIEEE
Number of pages6
ISBN (Electronic)9781509013289
ISBN (Print)9781509013296
Original languageEnglish
Event2016 IEEE Global Communications Conference: Globcom -
Duration: 4/12/20168/12/2016

Conference

Conference2016 IEEE Global Communications Conference
Period4/12/168/12/16

Conference

Conference2016 IEEE Global Communications Conference
Period4/12/168/12/16

Abstract

The capacity performance of ICIC has been extensively studied in coordinated multi-point transmissions (CoMP). In practice however, due to limited feedback, the acquired channel direction information (CDI), which is crucial for ICIC, is often partially available. Hence one may question whether the ICIC is able to meet the Quality-of-Service (QoS) requirements. This paper considers the optimal partitioning of the feedback bits in CoMP while accounting for the inter-cell interference cancellation (ICIC). In this paper, we adopt a statistical model of QoS in CoMP by using the notion of effective capacity (EC). Utilizing EC we then formulate the system function as an optimization problem with the objective of maximizing the total EC subject to the limited feedback available to the cluster of base stations (BSs). Analytical bounds are then obtained on the EC performance which are then utilized as the base for algorithms that assign feedback bits among the user equipments (UEs) and BSs. Using simulations we then investigate the accuracy of the obtained bounds and highlight practical system designs for dealing with stringent delay requirements. Of crucial practical importance, the findings of this paper also indicates that in CoMP there is an optimal cluster size for a given feedback capacity that maximizes the corresponding EC.

Bibliographic note

©2016 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.