Multi-cell Coordination in Cloud RAN: Architecture and Optimization

Dora Boviz 1 Nivine Abbas 2, 3 Gopalasingham Aravinthan 1 Chung Shue Chen 1, 3 Mohamed Amine Dridi 1
1 Nokia Bell Labs [Nozay]
2 Orange Labs [Issy les Moulineaux]
3 LINCS - Laboratory of Information, Network and Communication Sciences
Abstract : Coordination between neighboring cells is intended to be implemented in future mobile networks, since it promises significant performance gains. Despite low-latency cooperation made possible by Cloud Radio Access Networks (C-RAN), practical feasibility and improvements brought to a real system were still to be evaluated. We define in this paper an architecture based on the abstraction and scalability provided by Software Defined Networking (SDN) enabling multi-cell coordination both on the uplink and downlink. We also evaluate gains offered by the proposed coordination algorithms under practical conditions. The described proof-of-concept platform shows not only why multi-cell cooperation is useful, but also how to make it happen.
Keywords : CoMP Cloud-RAN SDN cooperation interference management
Document type :
Conference papers
Complete list of metadatas

Cited literature [15 references]  Display  Hide  Download
https://hal.inria.fr/hal-01380756
Contributor : Chung Shue Chen <>
Submitted on : Monday, October 17, 2016 - 4:33:08 PM
Last modification on : Thursday, November 7, 2019 - 4:22:04 PM
Long-term archiving on: Saturday, February 4, 2017 - 9:28:19 PM

File

comp_coordination_paper_hal.pd...
Files produced by the author(s)

Identifiers

  • HAL Id : hal-01380756, version 1

Collections

INSTITUT-TELECOM | UPMC | INRIA | SORBONNE-UNIVERSITE | SU-SCIENCES

Citation

Dora Boviz, Nivine Abbas, Gopalasingham Aravinthan, Chung Shue Chen, Mohamed Amine Dridi. Multi-cell Coordination in Cloud RAN: Architecture and Optimization. The international conference on wireless networks and mobile communications (WINCOM'16), Oct 2016, Fez, Morocco. ⟨hal-01380756⟩

Export

BibTeX TEI DC DCterms EndNote

Share

Metrics

Record views

286

Files downloads

927

 

 

Contact

archive-ouverte@inria.fr