[2024]Digital Global Overview Report 2024 Meltwater.pdf
Future Mobile Telecommunication Networks Using Cloud Technologies
1. Open Cloud Day
Future Mobile Telecommunication
Networks Using Cloud Technologies
Prof. Dr. Torsten Braun
Communications and Distributed Systems
Institut für Informatik und angewandte Mathematik
Universität Bern
http://cds.unibe.ch
braun@iam.unibe.ch
2. Torsten Braun: MobileCloud
Overview
> Research and Technology Trends
— Network Virtualization
— Cloud Computing
— Software-Defined Radio
— Multiple Input Multiple Output
— Wireless Network Cloud
— Telco Clouds and Virtual Telcos
> Future EU FP7 Integrated Project: Mobile Cloud Networking
(MobileCloud)
> Conclusions
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3. Torsten Braun: MobileCloud
Cloud Computing
> Advantages
— Lower hardware and operation
costs
— Exploitation of computer
hardware progress
— Elasticity
— Energy-efficient operation
— Availability and robustness
> Example application in
telecommunications:
TV set-top boxes J. Vankeirsbilck, Bertrand Nelis, D. Verlsype, C. Develder,
T. Van Leeuwen and B. Dhoedt: Integrating Personal Media
> Drawbacks and Digital TV with QoS Guarantees using Virtualized Set-
Top Boxes: Architecture and Performance Measurements,
— Possibly long delay between 35th IEEE Conf. Local Computer Networks, Denver, USA
users and cloud computing
infrastructure
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4. Torsten Braun: MobileCloud
Impact of Delay on Bandwidth
> TCP performance depends on round-trip time:
BW < (MSS / RTT) · (1 / √p)
— BW: bandwidth
M. Mathis, J. Semke, J. Mahdavi:
— MSS: maximum segment size The Macroscopic Behavior of the TCP
— RTT: round trip time Congestion Avoidance Algorithm,
ACM Sigcomm, CCR, July 1997
— p: packet error rate
— W: maximum window
— Data delivered in each cycle = MSS · ⅜ W2 = 1/p
— BW = (data per cycle) / (time per cycle) = (MSS · ⅜ W2 ) / (RTT · W/2)
= (MSS · C) / (RTT · √p), C = √1.5
Congestion W
Window
[packets]
W/2
Time [RTT]
W/2 W
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5. Torsten Braun: MobileCloud
Network Virtualization
> Security
> Flexibility
> Elasticity
> Reconfigurability
> Network resource sharing
> Load balancing
> Experimentation
> Baumgartner, F.; Braun, T.; Bhargava, B.; ,Virtual routers:
a tool for emulating IP routers, IEEE Conference Local
Computer Networks, Nov. 2002
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6. Torsten Braun: MobileCloud
Software(-Defined) Radio
Yong He, Ji Fang, Jiansong Zhang, Haichen
> More and more functions previously Shen, Kun Tan, and Yongguang Zhang.
2010. MPAP: virtualization architecture for
implemented in hardware or special- heterogenous wireless APs. SIGCOMM
purpose devices (e.g., signal Comput. Commun. Rev. 40, 4 (August 2010)
processing or physical layer protocols)
to be implemented in software or
software-controlled on special-purpose
devices using FPGAs, DSPs etc.
→ Software-Defined Radio (SDR)
> High flexibility in terms of frequencies
and protocols
→ Cognitive radio and networks
> In the future: all software radio (SWR)
— Protocol and signal processing
on general-purpose processors with
multi-cores and multi-threading
(COTS servers)
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7. Torsten Braun: MobileCloud
Multiple Input Multiple Output (MIMO)
> Exploitation of multi-path transmission h11
> y = Hx + n x1 h21 h12 y1
— y: receive vector
— x: transmission vector
— n: noise vector
— H: channel gain matrix with nT · nR channels
— Mr: number of receive antennas
hMrMt yMr
— Mt: number of transmit antennas xMt
> Cooperative MIMO
— cooperation of multiple base stations
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8. Torsten Braun: MobileCloud
Wireless Network Cloud
> Motivation: Base stations as main components of wireless access
networks represent approx. 40 % of mobile network costs.
> Proposed approach: separation of base stations into
— Remote Radio Heads (RRH): antenna, transceiver, A/D converter, etc.
— Base station pool: signal and protocol processing running in the cloud
> Related standardization activities
— Common Public Radio Interface (CPRI)
— Open Base Station Architecture Initiative (OBSAI)
> Application scenarios
— Various kinds of wireless access networks
— Mobile Virtual Network Operator
— Dynamic resource allocation dependent on traffic patterns
— Coverage of harsh environments
— Cooperative MIMO
— Integrated application processing
Y. Lin, L. Shao, Z. Zhu, Q. Wang, and R. K. Sabhikhi: Wireless network cloud: architecture and system requirements.
IBM J. Res. Dev. 54, 1 (January 2010),
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10. Torsten Braun: MobileCloud
Telco Clouds and Virtual Telcos
> Telco Clouds
— Hardware resources
for cloud services
and customers’
applications at
strategic locations
in the network,
e.g., edge, core,
to provide low delay
> Virtual Telcos
— Running software of telecommunication system in the cloud
> Advantages
— Carrier-grade services
— Flexibility
Peter Bosch, Alessandro Duminuco, Fabio Pianese, Thomas L. Wood: Telco Clouds and Virtual Telco:
Consolidation, Convergence, and Beyond, 6th IFIP/IEEE International Workshop on Broadband Convergence Networks, 2011
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11. Torsten Braun: MobileCloud
Future EU FP7 Integrated Project:
Mobile Cloud Networking (MobileCloud)
> Extension of wireless network cloud by integration of
— Radio Access Network
— Mobile Core Network
— Data Centre (computing, storage, applications)
into (decentralized) cloud computing infrastructure (management!)
> Advantages: elasticity, costs, performance, e.g., by exploitation of user
location for service provisioning
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12. Torsten Braun: MobileCloud
Conclusions
> Future integration of cloud computing and
next generation mobile telecommunication services
> More research, development, experimentation, and
standardization needed
June 19, 2012 12
13. Torsten Braun: MobileCloud
Thanks for your attention !
> braun@iam.unibe.ch
> http://cds.unibe.ch
> http://www.slideshare.net/torstenbraun
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