future mobile telecommunication networks using cloud technologies
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Open cloud day bern 2012 public versionTRANSCRIPT
Open Cloud Day
Future Mobile Telecommunication Networks Using Cloud Technologies
Prof. Dr. Torsten BraunCommunications and Distributed SystemsInstitut für Informatik und angewandte MathematikUniversität Bernhttp://cds.unibe.ch [email protected]
Torsten Braun: MobileCloud
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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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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
> Drawbacks— Possibly long delay between
users and cloud computing infrastructure
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J. Vankeirsbilck, Bertrand Nelis, D. Verlsype, C. Develder, T. Van Leeuwen and B. Dhoedt: Integrating Personal Media and Digital TV with QoS Guarantees using Virtualized Set-Top Boxes: Architecture and Performance Measurements, 35th IEEE Conf. Local Computer Networks, Denver, USA
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Impact of Delay on Bandwidth
> TCP performance depends on round-trip time: BW < (MSS / RTT) · (1 / √p)
— BW: bandwidth— MSS: maximum segment size— RTT: round trip time— 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
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W
W/2
W/2 W
Time [RTT]
CongestionWindow[packets]
M. Mathis, J. Semke, J. Mahdavi: The Macroscopic Behavior of the TCP Congestion Avoidance Algorithm, ACM Sigcomm, CCR, July 1997
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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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Software(-Defined) Radio
> More and more functions previously implemented in hardware or special-purpose devices (e.g., signal 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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Yong He, Ji Fang, Jiansong Zhang, Haichen Shen, Kun Tan, and Yongguang Zhang. 2010. MPAP: virtualization architecture for heterogenous wireless APs. SIGCOMM Comput. Commun. Rev. 40, 4 (August 2010)
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Multiple Input Multiple Output (MIMO)
> Exploitation of multi-path transmission> y = Hx + n
— y: receive vector— x: transmission vector— n: noise vector— H: channel gain matrix with nT ∙ nR channels
— Mr: number of receive antennas
— Mt: number of transmit antennas
> Cooperative MIMO— cooperation of multiple base stations
h11
hMrMtxMt
x1 y1
yMr
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h21h12
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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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Wireless Network Cloud
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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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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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Conclusions
> Future integration of cloud computing and next generation mobile telecommunication services
> More research, development, experimentation, and standardization needed
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Thanks for your attention !
> [email protected] > http://cds.unibe.ch> http://www.slideshare.net/torstenbraun
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