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Inter-Tenant Cooperative Reception for C-RAN Systems with Spectrum Pooling

  • Junbeom Kim
  • , Daesung Yu
  • , Seok Hwan Park
  • , Osvaldo Simeone
  • , Shlomo Shamai Shitz

Research output: Contribution to conferenceConference paperpeer-review

Abstract

This work studies the uplink of a multi-tenant cloud radio access network (C-RAN) system with spectrum pooling. In the system, each operator has a cloud processor (CP) connected to a set of proprietary radio units (RUs) through finite-capacity fronthaul links. The uplink spectrum is divided into private and shared subbands, and all the user equipments (UEs) of the participating operators can simultaneously transmit signals on the shared subband. To mitigate inter-operator interference on the shared subband, the CPs of the participating operators can exchange compressed uplink baseband signals on finite-capacity backhaul links. This work tackles the problem of jointly optimizing bandwidth allocation, transmit power control and fronthaul compression strategies. In the optimization, we impose that the inter-operator privacy loss be limited by a given threshold value. An iterative algorithm is proposed to find a suboptimal solution based on the matrix fractional programming approach. Numerical results validate the advantages of the proposed optimized spectrum pooling scheme.

Original languageEnglish
Title of host publication2020 IEEE International Conference on Communications, ICC 2020 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728150895
DOIs
StatePublished - 2020.06
Event2020 IEEE International Conference on Communications, ICC 2020 - Dublin, Ireland
Duration: 2020.06.72020.06.11

Publication series

NameIEEE International Conference on Communications
Volume2020-June
ISSN (Print)1550-3607

Conference

Conference2020 IEEE International Conference on Communications, ICC 2020
Country/TerritoryIreland
CityDublin
Period20.06.720.06.11

Keywords

  • C-RAN
  • fractional programming
  • multi-tenant
  • multiplex-and-forward
  • privacy constraint
  • spectrum pooling

Quacquarelli Symonds(QS) Subject Topics

  • Computer Science & Information Systems
  • Engineering - Electrical & Electronic
  • Engineering - Petroleum

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