We started in winters on 2012 with Webrtc . At time time it just looked like a new tech jargon that might fade away when new ones comes . In many many WebRTC’s buzz has died down since its massive adoption. But i nevertheless still see a lot of potential and development around it.
What really is WebRTC ? I made an entry on it here .
Usecases for WebRTC range across a wide variety , of them the most revenue generating ones are around video conferencing with realtime HD audio-video-data streams ,
To bridge the flow between a webrtc client to a PSTN endpoint via IMS , interworking between webrtc media standards and codecs with that of gateways in IMS is critical . For instance WebRTC mandates secure RTP ( SRTP) the media engine / gateway should be able to support and connect with RTP from PSTN endpoints.
client BOB -> webrtc2sip Gateway -> SIP server -> client Alice
can be understood with the callflow of a simple SIP Invite initiated from one html page towards another which passes through the configuration of gateway to IMS world , SIP Telecom Application server , Database , nodes of IMS environment etc.
For the purpose of a simple Explanation a simplified call flow ca be depicted as ,
A very high level architecture of solution deployment in IMS world could be
As the solution matures into a full fleshed project . The alpha version has been released with the following feature set . The WebRTC platform Suite offers a easily deploy-able solution to enable communication
Alpha Release WebRTC platform Suite
Single Sign On
Login with id and password to access all services
Audio / Video Call
Call Hold / Call Transfer
SIP Instant Messaging
Message to Facebook Messenger
Message delivered as Email
group chat between multiple users . Room is created for set of users .
Video Conferencing :
video chat between multiple parties . Room is created for set of users .
File Transfer :
Sharing of files from local to remote , in peer-to-peer and broadcasting fashion .
Third party Webservices :
Widgets like calendar , weather , stocks , twitter are embedded.
Visual Voice Mail :
Record and deliver voice message to recipients voice mail inbox which can be accessed/ played from web client .
add new entries
add photos to contacts identity
import contacts from google account
Click to Call :
Drop down list of contacts form mail call console
2 step Click to call from Phonebook
Publish online / offline status
Use Subscribe / notify requests of SIP
WS to SIP Gateway :
Conversion between the signal coming from the WebRTC and SIP client to the IMS core
Conversion of “voice/video ” media between sRTP and RTP
Conversion of other media (data channel) towards MSRP and Transcoding.
Support of ICE procedure .
Implementation of a STUN server.
Beta Release WEBRTC PLATFORM SUITE
User Profile :
user details like address , email and social networking accounts
Phonenumber for GSM integration through SMS
User’s Media storage like Pictures , profile picture , Audio , video
File sharing documents storage for future access in the same format
Real Time and Offline Analytics
service usage with graphical and tabular history trends
Session Management :
Forgot password regeneration using secure question
Registration of new user account
Logout and clearance of session parameters
No redirection to any page through url entry without valid session
No going back to home page after logout by back button on browser
No data vulnerability
Multiple login through different devices handled
Login via IMAP / token through facebook and Google
Phonebook with Presence functionality inbuild .
Directory Service based on country / region
Geolocation of approximate location detection of device logged in and visibility to others
Commercial release features specs for WebRTC over IMS
Integration with new age CSP deployments like VoLTE, ViLTE, VoWiFi
Multi vendor support
Interactive webrtc services
Automated Natural language Speech recognition
Semantic processing via ML
Enhanced incall services replacing IVR ( touch -tone)
VQE (voice Quality Enhancements)
Encoding and Decoding – Multiple Codec Support ,
Silence Suppression ,
Security via TLS , encryption and AAA
Http , NFS caching
Recording , playback and media file compression
active frame selection
gain control ,
speakers notification ,
Narrowband, Wideband, and Super Wideband ,
dynamic sample rate
continuous presence ,
floor control ,
video lipsync ,
speaker tile selection
Acoustic Echo Cancelation ,
noise line detection,
noise gating ,
Packet Loss concealment
MOS , R-factor ( derived from latency , jitter , packet loss )
CDR (Call detail records ) and accounting
Updating this article 2019
There was a long journey from traditional telecom architectures to NFV cloud based architectures ( like openstack). supported over web , 4G , LTE or other upcoming networks. Many OTT providers prefer using the public cloud over a NFV data centre.
Multinode / Multiedge computing platforms like Media Resource Function are expected to meet the need for quick delivery with additional features like hardware accelerated media , algorithms for optimised data flow (packetization, decongesting , security ) etc . With th decomposed architecture they can better utilise the
- CPU – contains couple of cores optimised for sequential serial processing such as graphics or video processing
- GPU – contains many smaller cores to accelerate creation of images for computer display . Can include texture mapping, image rotation, translation, shading or more enhanced features like motion compensation, calculation of inverse DCT, etc. for accelerated video decoding.
- DSP- processing data representing analog signals
Although IMS based solutions are more suited to telephony applications and CSPs ( Communication service providers like telecom companies ) but similar or same architectures are widely finding their into newer developed cloud communications solutions supporting tens of millions of subscribers and hyper scale deployment . It could be around applications such as
- HD (High Definition ) calls
- UCC ( conf , draw-board, speech recognition , realtime streaming)
- immersive experiences ( Augmented reality , virtual reality , face recognition , tracking )
- contextual communication ( transcription etc)
- video content delivery with deep media analytics
Demand these says is for a decentralised system of pool of servers ( media and signalling ) that can scale independently to match up to peak traffic at any moment , with ofcourse carrier class performance . Not only these flexible solutions reduce complexity but also OpEX .