Context-Aware Converged Communications
B.H. Juang
Motorola Foundation Chair Professor & Georgia Research Alliance Eminent Scholar
School of Electrical & Computer Engineering Georgia Institute of Technology
Context-Aware Converged Communications B.H. Juang Motorola - - PowerPoint PPT Presentation
Context-Aware Converged Communications B.H. Juang Motorola Foundation Chair Professor & Georgia Research Alliance Eminent Scholar School of Electrical & Computer Engineering Georgia Institute of Technology Communication Services Today
Motorola Foundation Chair Professor & Georgia Research Alliance Eminent Scholar
School of Electrical & Computer Engineering Georgia Institute of Technology
Access Transport SN/IP VMS Internet
App Server Web Server ISP
IP / Data Network SS7 Network
SCE SMS Mngmt Billing
ISUP INAP INAP SIP Freephone * Prepaid / Card Call Center * LNP, LTF/LIDB Call Screening * Messaging * VPN Call Routing * Web based Provisioning *...
Circuit Switch
SCP HLR
After Kozik
Access Transport SN/IP VMS Internet
App Server Web Server ISP
IP / Data Network SS7 Network
SCE SMS Mngmt Billing
ISUP INAP INAP SIP
Circuit Switch
SCP HLR Application Server
SIP, LDAP, XML, IN, SCTP/TALI, Corba, Jain, Parlay
Packet Call Center * Online Comm. Center * Virtual Kiosk * Mediation Voice Portals * Message Gateway * Voice / Data VPN * . . .
VoiceXML, WML, HTML, SIP, ...
After Kozik
Only an intermediate solution!!
Call Cont. Server ISP site Media Bridge Controller Media Bridge MPC Applet Suite
Whiteboard, Text, Audio (EC/Codec), Video, Signaling/directory
MPC Applet Suite MPC Applet Suite
Chat Room Call Session
MPC Applet Suite client server
RTP RTP RTP RTP Peer-to-peer (side-bar) audio whisper, copy files Stream file, share files
Interest group
Control Media data
Business model: Service provider = IP server + feature server
MGCP MEGACO
mostly
Context Sensing Context Inference Context Representation and Translation Media Communication Chain
Information Management User/Application Context Determination Content Processing Communication & Networking
Intelligent Peripheral
SM
Service Adjunct Operations Systems
CCS (SS7) Network
STP SSP: Service switching point Service management systems
CSC CSC (Context & Service Control) Network CSSP: Converged Service switching point Context-Sensitive Information Management Systems Digital Terminal
Multimedia Service Complex To other CSCs
Digital Terminal Wired or wireless Service Management Systems
IP Transport Layer Application Layer Network Control Layer
Registration Address Authentication Authentication for Other Party Authentication Status Check Connection Negotiation Connection Processing Session Control Flow
Modified from Tachimoto & Morita of NTT Access Control Encryp- tion Control Quality Control
End-to-end Session Control
session
Context Service Control Layer
Context Control
CONTEXT user environment applications
Personal Attributes Local Resources Service Agreements Preferences Physical Information Network Computing Display
Spatial Temporal/history Activity-Related Physiological
Expectations & Goals
EKG from Control EKG from GTWM
Traditional telephony
switch switch
New multi-channel network for information sharing
Multi- channel Aggregate Processor Multi- channel Aggregate Processor
Packet Network MIMO MIMO
for intelligent assistance
Mic’s Cameras Spkr’s Projectors
Spatial separation plays a role. Compare mono with stereo
Stream segregation also plays a role. Compare one talker (m1+m2) with two (m1+f2) (m1 m2 f2 )
ROOM 1 ROOM 2 h1 h1 ~
talker
h2 h2 g2 ~ NL NL
s’2 s’1 x2 x1 H12 H21 H11 H22 s1 s2
mixing
W12 W21 W11 W22
un-mixing One possible approach (Ikram of Gatech and Morgan of Bell Labs): x = H s R’ = <x xH> s’ = Wx Find un-mixing filter matrix W such that Λs’ = W R’ WH is diagonalized by minimizing the squared Frobenius norm of the off-diagonal matrix of Λs’
21 2 11 1
h s h s ∗ + ∗
22 2 12 1
h s h s ∗ + ∗
(room impulse responses)
talker
Various methods:
equations
linearized spherical equations
but with reduced constraint
problem into an estimation/minimization problem; works the best Applications:
Developed at Bell Labs & Georgia Tech
Further challenge
CONTENT ACQUISITION & RETRIEVAL CONTENT DISTRIBUTION CONTENT DECODING CONTENT ENCODING CONTENT PRESENTATTION USER INTERFACE
Context Determination
Where is the content? Whose is it?
Produce Aggregate
What is this content about?
Catalog/ Index
What
content is it related to?
Integrate Syndicate
What is the right content for this user?
Personalize
What is the best way to utilize and interact with this content?
Interactive Marketing
Broadcast, Wireline, Wireless, Interactive TV
Applications Back End
Semantic Metadata
ROI Algorithms for: Lossless Coding Progressive Transmission Electronic Zooming
Integration with VoIP, VUI, TIVO and Array Processing Technologies
UDP + FEC+ error concealment UDP+ MMTP + selective retransmission
Switch 1 Switch 2 Switch 3 Switch 4 Cell site Voice packet 3 2 1 2 3 1 2 3 telephone cell-phone
NETWORK
Channel coding Layered bitstream
Imbue Converging Digital Services with the attributes and
perception of personalization, flexibility, richness and privacy;
Incorporate Context, broadly defined, into the deep fabric of
wired and wireless networks for information, transactions and entertainment;
Harness the capabilities of multimedia processing, embedded
computing and pervasive broadband for Context-Aware Telecommunications;
Spawn a new generation of applications of interest to the end
user, the communications industry and society, using the exemplary test domains of tele-health, distributed education and entertainment.