heterogeneous!cloud!radio!! access!networks!! · outline! • datacommunicaon!group! •...
Post on 25-Dec-2018
214 Views
Preview:
TRANSCRIPT
Heterogeneous Cloud Radio
Access Networks
Cris6ano Bonato Both UFCSPA e UFRGS
Outline
• Data Communica6on Group • The Future of Mobile Networks • H-‐CRAN
– Challenges • Current Research • Research project
2
Data Communica6on Group Juergen Rochol Full Professor at UFRGS PhD in Computer Science (UFRGS, 2001) www.inf.ufrgs.br/~juergen
Lisandro Zambenede5 Granville Associate Professor at UFRGS PhD in Computer Science (UFRGS, 2001) www.inf.ufrgs.br/granville
Marcelo Antonio Maro;a Ph.D. candidate at UFRGS M.Sc. degree in Computer Science (UFRGS, 2013) www.inf.ufrgs.br/~mamaroSa
Cris=ano Bonato Both Associate Professor at UFCSPA PhD in Computer Science (UFRGS, 2012) www.inf.ufrgs.br/~cbboth
Maicon Kist Ph.D. candidate at UFRGS M.Sc. degree in Computer Science (UFRGS, 2014) www.inf.ufrgs.br/~maicon.kist
Ma=as Kla@e Schimuneck M.Sc. student at UFRGS B. Sc. degree in Computer Science (UNISC, 2014) www.schimuneck.com
Jean Cerrillo Fernandez M.Sc. student at UFRGS B. Sc. degree in Computer Science (2014) www.inf.ufrgs.br/~jcfernandez
Leonardo Roveda Faganello M. Sc. student at UFRGS B.Sc. degree in Computer Engineering (UFRGS, 2013) www.inf.ufrgs.br/~lrfaganello
3
The Future of Mobile Networks
• In 2020 is expected that the next genera6on of cellular network will need to: – 1000 6mes larger data volume – 10 to 100 6mes higher data rate – 5 6mes lower latency – 10 6mes longer baSery
• The current cellular networks are far from sa6sfying the significant traffic increasing
4
The Future of Mobile Networks
• Main characteris6cs – Very dense deployment of antennas
• Higher interference – Centralized processing power
• Higher delay – Op6cal backhauls
• Need beSer planning – Massive MIMO communica6on
• Processing hunger
Data traffic
Heterogeneity
Density
5
H-‐CRAN
Dense deployment of small cell
Cheaper antennas with centralized processing power
Heterogeneous Cloud Radio Access Networks
6
H-‐CRAN
7
H-‐CRAN Challenges
• Virtualiza6on – Spectrum
• Algorithms to aggregate non-‐con6guous por6ons of spectrum into a single high bandwidth channel
– Infrastructure • Base sta6ons (WiFi, 3G, 4G,) and Legacy en66es
(MME, S-‐GW) – Network
• Enables Virtual Mobile Network Operator (VMNO)
• High bandwidth backhaul – Transmission in TD-‐LTE with 20 MHz channel and 1 RRH
with 8 antennas requires a downlink of 9.8 Gbps 8
H-‐CRAN Challenges
• Development of a new BBU virtualiza6on plaform – Must run on top of modern data center hardware – Op6mized to process huge amounts of data with
stringent delay requirements
• Development of mechanisms to reduce the power consump6on – Unused RRHs to idle mode – Handover users to “create” unused RRH
• Quality-‐of-‐service must be maintained
9
Current Research
• Resources sharing in H-‐CRAN
10
Current Research
• Orchestra6ng radio resources in H-‐CRAN – Op6mizing perfect, semi-‐perfect, and imperfect informa6on
retrieving scenarios – Considering radio resources availability and collocated cells
11
Current Research
• Offloading data communica6ons with D2D
12
Research Project
• CoLisEU: a management applica6on used to collect and analyze QoS and QoE in wireless environment
13
Thank you for your aSen6on !!
top related