The present invention relates generally to the field of Voice-Over-Internet-Protocol (VoIP). More particularly, the present invention provides means for adapting the bandwidth requirement of a real-time communication to the available bandwidth of the underlying transport network.
In traditional circuit switched telephony, a continuous data “pipe” is provided through the Public Switched Telephone Network (PSTN) to guarantee the flow of the PCM voice data. Internet telephony on the other hand must overcome a variety of impairments to the regular and timely delivery of voice data packets to the far end. These impairments are inherent in current Internet architecture, which provides a best-effort delivery service without any guarantees regarding the delivery of voice packets. Additionally, the transport of the voice packets is constrained by the amount of bandwidth available in the network connection, the delay that the packet experiences and any packet loss or corruption that occurs. In general, the measure of the quality of a data network to transport voice data packets quickly and consistently is referred to as the network's Quality of Service (QoS).
A variety of network conditions affect the QoS of a connection. The bandwidth (BW) is the measure of the number of bits per second that can flow through a network link at a given time. Available bandwidth is limited by both the inherent capacity of the underlying network as well as other traffic along that route. End-to-end bandwidth from sender to receiver (the “call path”) will be determined by the slowest link on the entire route. For example, a dialup connection to the ISP with an ideal bandwidth of 56 kilobits per second (kb/s) may be the slowest link for a user. However, the bandwidth actually available to a VoIP application on this link at a particular time will be lower if a larger file transfer is taking place at that time.
The bandwidth usage per channel is determined primarily by the compressor/decompressor (CODEC) used to digitize and compress voice data and its associated overhead. Table 1 lists the one-way bandwidth requirements of three popular voice CODECs and a Mean Opinion Score (MOS) based on the ITU-T recommendation for measuring voice quality (higher MOS values indicate better quality).
As illustrated in Table 1, voice CODECs such as G.723 and G.729 significantly reduce the data bandwidth required. There is, however, a general tradeoff between using a high compression voice CODEC (with its low bandwidth usage) and voice quality. The high compression CODECs typically have slightly reduced voice quality (as reflected in the MOS rating), and introduce additional delay due to the added computational effort. The highest bandwidth is required by the minimal compression G.711 CODEC, which is the standard toll quality CODEC.
Another factor in bandwidth usage is the overhead introduced by different IP layers. Most CODECs operate by collecting a block of voice samples and then compressing this block to produce a frame of coded voice. As this media frame is prepared for transport over IP, different protocol layers add their own headers to the data to be able to recreate the voice stream at the destination.
Protocol overhead can be reduced by including more than one media frame per datagram (or packet). This also reduces the number of packets sent per second and hence the bandwidth usage.
Delay along the voice transmission call path can significantly affect voice quality. If the delay is too large, for example greater than 400 ms (ITU-T recommendation), interactive communication will be impossible. Many factors contribute to delay in VoIP, the most important being the delay experienced by VoIP media packets on the network. Another source of delay is the CODEC used for processing voice. High compression CODECs introduce more delay than low compression CODECs.
VoIP media packets comprising a data stream may not experience the same delay. Some packets may be delayed more than others due to instantaneous network usage and congestion or as a result of traversing different routes through the network. This variance from the average delay is called jitter. Voice CODECs will produce poor voice output if the input packet stream is not delivered at the exact play-out time. A jitter buffer at the receiver can smooth out this variation but it adds some more delay. If the jitter is larger than what the buffer can handle, the jitter buffer may underflow or overflow, resulting in packet loss.
QoS is also degraded by packet loss. The most common cause of packet loss on land-based networks is the overloading of a router queue along the transmission call path. In this case, the router will discard packets. On land-based networks, packet loss is therefore a sign of network congestion. Packets can also be lost because of corruption. Internet routers are programmed to discard corrupted packets. Voice CODECs can generally cope with small random packet losses, by interpolating the lost data. Large packet loss ratio or burst packet loss can severely degrade voice quality. The exact limits vary by the CODEC used but generally, low compression CODECs are more tolerant to packet loss.
The lack of QoS guarantees on the Internet has been a major challenge in developing VoIP applications. IETF is working on a number of proposals to help guarantee the quality of service that time critical data such as VoIP services require, including:
Differentiated Service (“Diffserv”) which instructs the network routers to route based on priority bits in the packet header.
Integrated Services and RSVP to set up end-to-end virtual channels that have reserved bandwidth similar to circuit-switched telephony.
Multi-protocol Label switching, which uses labels inserted into the packets to route traffic in an efficient way.
These services are, however, not currently available on the present day Internet. VoIP applications on end systems are required to work around the hurdles presented to regular and timely data flow. The Internet offers a best effort delivery service. So long as sufficient bandwidth is available, VoIP traffic can flow smoothly with an acceptable QoS. If the bandwidth is constrained, the effects described above will result in degraded voice quality.
What would be desirable are means to allow VoIP applications to sense the current call path bandwidth and to adapt in real-time the transmission rate to utilize that bandwidth.
Embodiments of the present invention provide a real-time bandwidth monitor (RTBM) for VoIP applications having a media streaming function to sense the available bandwidth between two endpoints of a VoIP communication (herein, a “call path”) utilizing the media streaming function and to adapt in real-time the transmission rate of the media stream to utilize that bandwidth. The media stream may include voice content, video content, or other media content. If sufficient bandwidth is available, the RTBM selects a set of low compression, low latency CODECs to offer best possible media stream quality to the user. If the bandwidth is constrained, the RTBM, instead of allowing the VoIP application to fail, degrades gracefully by switching to a set of high compression CODECs. On further bandwidth reduction, the RTBM increases the media frames per packet. Because the bandwidth reduction may be transitory, the RTBM constantly monitors the end-to-end available bandwidth so as to invoke the CODEC set/frame per packet combination that provides the best QoS achievable over the current end-to-end available bandwidth.
It is therefore an aspect of the present invention to monitor current end-to-end available bandwidth in a VoIP communication using a real-time bandwidth monitor (RTBM) and to adapt in real-time the transmission rate of a VoIP application to utilize that bandwidth.
It is another aspect of the present invention that if the RTBM determines that sufficient bandwidth is available, to select a set of low compression, low latency CODECs to offer the best possible media stream quality to the user.
It is still another aspect of the present invention that if the RTBM determines that bandwidth is limited, to switch to a set of high compression CODECs.
It is yet another aspect of the present invention that if the RTBM determines that the bandwidth is highly restricted, to increase the media frames per packet.
It is an aspect of the present invention to constantly monitor the call path available bandwidth so as to invoke the CODEC set/frame per packet combination that provides the best QoS achievable over the current call path available bandwidth.
It is another aspect of the present invention to determine improvements in bandwidth for VoIP media communications by making specialized measurements via “probe packets” sent prior to media startup and during conversation “silence periods” so that no additional network bandwidth is consumed for making the measurement.
It is still another aspect of the present invention to provide a RTBM that is application independent and able to adjust the send rate automatically in a plug and play fashion.
These and other aspects of the present invention will become apparent from a review of the general and detailed descriptions that follow.
An embodiment of the present invention provides a method for adapting the transmission rate of media packets between endpoints in a voice over Internet protocol (VoIP) communication. A starting bandwidth measure at a starting endpoint is determined. A starting CODEC set at the starting endpoint is selected based on the starting bandwidth measure. The starting CODEC set is associated with a starting CODEC set nominal data rate. An ending bandwidth measure at the ending endpoint is determined. An ending CODEC set at the ending endpoint is selected based on the ending bandwidth measure. The ending CODEC set is associated with an ending CODEC set nominal data rate. The ending endpoint is informed of the starting CODEC set nominal data rate. The starting endpoint is informed of the ending CODEC set nominal data rate. A current CODEC set comprising a data rate equal to the lower of the starting CODEC set nominal data rate and the ending CODEC set nominal data rate is selected and used at the starting and ending end points.
In another embodiment of the present invention, the starting bandwidth measure is determined by sending a starting probe packet from the starting endpoint to a network device. According to embodiments of the present invention, the network device is selected from the group consisting of a STUN server, a SIP server, and an echo server. The starting probe packet is echoed by the network device to the starting endpoint. The bandwidth of the path from the starting endpoint to the network device is then determined.
The starting CODEC set is associated with a bandwidth range. A determination is made whether the starting bandwidth measure is within the bandwidth range. If so, the starting CODEC set is selected.
In another embodiment of the present invention, a packet loss ratio of a media packet stream between the starting endpoint and the ending endpoint is obtained. A determination is made whether the packet loss ratio exceeds a maximum packet loss ratio associated with the current CODEC set. If the packet loss ratio exceeds the maximum packet loss ratio, then a nominal in-use data rate of the current CODEC set is determined. A determination is made whether the current CODEC is associated with an alternate nominal data rate that is lower than the nominal in-use data rate. If current CODEC set is associated with an alternate nominal data rate that is lower than the in-use data rate, the alternate nominal data rate is substituted for the in-use nominal data rate.
If the current CODEC set is not associated with an alternate nominal data rate that is lower than the in-use nominal data rate, a determination is made whether a current frames per packet measure is less than a maximum frames per packet measure associated with the current CODEC set. If the current frames per packet measure is less than the maximum frames per packet measure associated with the current CODEC set, then the frames per packet measure of the media packet is increased.
If the current frames per packet measure is greater than or equal to the maximum frames per packet, then a determination is made whether a substitute CODEC set having a substitute nominal data rate that is lower than the nominal data rate of the current CODEC set is available at the starting and ending endpoints. If the substitute CODEC set is available at the starting and ending endpoints, then the substitute CODEC set is used at the starting and ending endpoints.
In the accompanying figures, like elements are identified by like reference numerals among the several preferred embodiments of the present invention.
Embodiments of the present invention provide a real-time bandwidth monitor (RTBM) for VoIP applications to sense the available bandwidth between two endpoints of a VoIP communication (herein, a “call path”) and to adapt in real-time the transmission rate to utilize that bandwidth. If sufficient bandwidth is available, the RTBM selects a set of low compression, low latency CODECs to offer best possible media stream quality to the user. The set of low compression, low latency CODECs comprises at least one CODEC. If the bandwidth is constrained, the RTBM, instead of allowing the VoIP application to fail, degrades gracefully by switching to a set of high compression CODECs. The set of high compression CODECs comprises at least one CODEC. On further bandwidth reduction, the RTBM increases the media frames per packet of the in use CODEC set. Because the bandwidth reduction may be transitory, the RTBM constantly monitors the end-to-end available bandwidth of the path so as to invoke the CODEC set/frame per packet combination that provides the best QoS achievable over the current end-to-end available bandwidth.
When a “call” is placed from communication device 120 to communication device 150, the quality of the media stream signal is affected by the CODEC set used and the bandwidth of the network path between them. In an embodiment of the present invention, VoIP endpoint 100 and VoIP endpoint 130 each comprise an optimization database (115 and 145 respectively). Each entry in the database maps a range of bandwidth calculations to a set of pre-computed optimizations for different CODECs and frames per packet.
In an embodiment of the present invention, optimization databases 115 and 145 list all usable CODEC and frames per packet combinations. For each CODEC and frame rate combination, optimization databases 115 and 145 further list the minimum required bandwidth and the maximum tolerable packet loss ratio. The required bandwidth entries are pre-computed values. The maximum tolerable packet loss ratio is an experimentally determined quantity.
In order to establish a VoIP communication, the endpoints will typically use a signaling protocol such as IETF's SIP or ITU-Ts H323. Alternatively, the signaling protocol, without limitation, may be ITU-T's H.320 or H.324. If a calling endpoint knows the address of a destination endpoint, the calling endpoint sends a setup request directly to the destination endpoint. If the calling endpoint only knows an alias or “telephone number,” the calling endpoint resolves the alias or telephone number into an IP address by using a directory service. Alternatively, the calling endpoint may forward the setup request to a proxy server that will perform the address resolution and forward the setup request to the destination endpoint on behalf of the sender. Once the call setup negotiations are complete, the two endpoints exchange media using the RTP protocol, which provides all the necessary information to reassemble a media stream from packets. When the media session is in progress, each receiver uses RTCP to send feedback to the sender about the quality of the packet stream it is receiving.
In addition to these protocols, VoIP devices may require to implement supplementary protocols to function properly. One such protocol is STUN that is used by an endpoint on a private LAN to determine an external routable IP address.
A video codec is a device or software that enables compression or decompression of digital video, where the compression is usually lossy. There is a complex balance between the video quality, the quantity of the data needed to represent it (also known as the bit rate), the complexity of the encoding and decoding algorithms, robustness to data losses and errors, ease of editing, random access, the state of the art of compression algorithm design, end-to-end delay, and a number of other factors.
Video codecs seek to represent a fundamentally analog data set in a digital format. Because of the design of analog video signals, which represent luma and color information separately, a common first step in image compression in codec design is to represent and store the image in a YCbCr color space, in one embodiment. The conversion to YCbCr provides two benefits: first, it improves compressibility by providing decorrelation of the color signals; and second, it separates the luma signal, which is perceptually much more important, from the chroma signal, which is less perceptually important and which can be represented at lower resolution to achieve more efficient data compression. It is common to represent the ratios of information stored in these different channels in the following way Y:Cb:Cr. Refer to the following article for more information about Chroma subsampling.
Different codecs will use different chroma subsampling ratios as appropriate to their compression needs. In one embodiment, video compression schemes for Web and DVD make use of a 4:2:0 color sampling pattern, and the DV standard uses 4:1:1 sampling ratios. In another embodiment, professional video codecs designed to function at much higher bitrates and to record a greater amount of color information for post-production manipulation sample in 3:1:1 (uncommon), 4:2:2 and 4:4:4 ratios. Examples of these codecs include Panasonic's DVCPRO50 and DVCPROHD codecs (4:2:2), and then Sony's HDCAM-SR (4:4:4) or Panasonic's HDD5 (4:2:2). Apple's new Prores HQ 422 codec also samples in 4:2:2 color space. More codecs that sample in 4:4:4 patterns exist as well, but are less common, and tend to be used internally in post-production houses. In another embodiment, video codecs can operate in RGB space as well. RGB codecs tend not to sample the red, green, and blue channels in different ratios, since there is less perceptual motivation for doing so—just the blue channel could be undersampled.
In some embodiments, some amount of spatial and temporal downsampling may also be used to reduce the raw data rate before the basic encoding process. The most popular such transform is the 8×8 discrete cosine transform (DCT). Codecs may make use of a wavelet transform, especially in camera workflows which involve dealing with RAW image formatting in motion sequences. The output of the transform is first quantized, then entropy encoding is applied to the quantized values. When a DCT has been used, the coefficients are typically scanned using a zig-zag scan order, and the entropy coding typically combines a number of consecutive zero-valued quantized coefficients with the value of the next non-zero quantized coefficient into a single symbol, and also has special ways of indicating when all of the remaining quantized coefficient values are equal to zero. The entropy coding method typically uses variable-length coding tables. Some encoders can compress the video in a multiple step process called n-pass encoding (e.g. 2-pass), which performs a slower but potentially better quality compression.
The decoding process consists of performing, to the extent possible, an inversion of each stage of the encoding process. The one stage that cannot be exactly inverted is the quantization stage. There, a best-effort approximation of inversion is performed. This part of the process is often called “inverse quantization” or “dequantization”, although quantization is an inherently non-invertible process. This process involves representing the video image as a set of macroblocks. Online video material is encoded by a variety of codecs, and this has led to the availability of codec packs—a pre-assembled set of commonly used codecs combined with an installer available as a software package for PCs, such as K-Lite Codec Pack.
In many embodiments, the VoIP communication may further have the option of enabling “video chat” functionality, such that both audio and video content are communicated between the VoIP endpoints. Similar to audio compression, there are numerous CODECs available for compressing video content. Some particular examples include, without limitation, H.264, H.264/SVC, H.263-1988, H.261, MPEG-4, WMV, and VC-1. Examples of MPEG-4 codecs include DivX Pro Codec, ASP codec made by DivX, Inc., Xvid that is a free/open-source implementation of MPEG-4 ASP, FFmpeg MPEG-4, and 3ivx. Examples of H.264/SVC include x264 that is a GPL-licensed implementation of the H.264 video standard, Nero Digital that is a commercial MPEG-4 ASP and AVC codecs developed by Nero AG, QuickTime H.264 that is a H.264 implementation released by Apple, and DivX Pro Codec that is an H.264 decoder and encoder was added in version 7. Examples of WMV (Windows Media Player) codes by Microsoft include WMV 7, WMV 8, and WMV 9, and MS MPEG-4v3. Other codecs include: VP6, VP6-E, VP6-S, VP7, VP8, which are high definition video compression formats and codecs developed by On2 Technologies used in platforms such as Adobe Flash Player 8, Adobe Flash Lite, Java FX and other mobile and desktop video platforms. VP8 has been made open source by Google under the name libvpx or VP8 codec library. Libtheora is a reference implementation of the Theora video compression format developed by the Xiph.org Foundation, based upon On2 Technologies' VP3 codec. Schrödinger and dirac-research: implementations of the Dirac compression format developed by BBC Research at the BBC. Dirac provides video compression from web video up to ultra HD and beyond. DNxHD codec is a lossy high-definition video production codec developed by Avid Technology as an implementation of VC-3. Sorenson 3 is a video compression format and codec that is used by Apple's QuickTime, sharing many features with H.264. Sorenson Spark is a codec and compression format that was licensed to Macromedia for use in its Flash Video starting with Flash Player 6. It is considered as an incomplete implementation of the H.263 standard. RealVideo by RealNetworks, which is a compression format and codec technology. Cinepak is a very early codec used by Apple's QuickTime. Indeo is an older video compression format and codec initially developed by Intel.
Video CODECs may be used simultaneously with voice CODECs to deliver a media stream comprising both audio and video content, as indicated in Table 2.
In an exemplary embodiment, during the time when the calling endpoint has sent a call setup request and the called endpoint has not yet responded with the final acknowledgment, the endpoints measure the bandwidth of the actual media path by bouncing probe packets off each other. Prior to this measurement, the two endpoints exchange media channel information. Both SIP and H.323 provide mechanisms for achieving this. Additionally, the two endpoints start echo servers on the same port as they intend to receive media on. When the above two conditions are met, both endpoints “ping” the peer and measure the path Round Trip Time (RTT), which can be used to calculate the available bandwidth. This gives a more accurate measure of the path bandwidth and can be used to fine-tune the frames per packet for the media stream.
In another embodiment of the present invention, the bandwidth is measured using a fixed number of probe packets. By way of illustration and not as a limitation, in an exemplary embodiment of the present invention, five packets of different sizes are used to determine the bandwidth. The RTT for each packet size is measured twice and then the minimum of the two is used. Using linear regressions, the slope of the line that fits a plot of RTT samples against packet size is determined using the following formula:
m=(n*sigmaXY−sigmaX*sigmaY)/(n*sigma(X^2)−(sigmaX)^2)
where Y=RTT, X=size of packet, n=number of samples, m=slope, and sigma is a summing function.
The slope m can be calculated as the samples are collected, therefore there is no need to first collect all samples and then process them afterwards. The bandwidth is then calculated as follows:
bandwidth=l/m
In this exemplary embodiment, when a call session is established, the calling VoIP endpoint presents its preferred CODEC set to the called endpoint and the called endpoint presents its preferred CODEC set to the calling endpoint. The CODEC set associated with the lower nominal data rate is used by both endpoints for the media stream. For most cases this is a good choice and the media path can easily provide the bandwidth required by the media stream.
RTP and RTCP protocols are used for the media exchange. The RTP protocol provides mechanisms for transporting the actual media content payload. The RTP header includes sequence number, timestamp and source identifier. this information is used to reconstruct the stream from the individual packets and to detect lost, delayed or out of sequence packets. Each receiving endpoint collects information about the total number of lost packets and packet arrival jitter (variation in packet arrival times) and conveys this information back to the sending endpoint using RTCP protocol at regular intervals. The jitter buffer in each endpoint will smooth out jitter within a certain range and rearrange out of sequence packets. However, if a packet is delayed beyond the capability of the jitter buffer, it will be considered a lost packet. Similarly, a burst of packets that causes the jitter buffer to overflow will result in lost packets. According to the exemplary embodiment, each receiving endpoint also collects the number of packets lost due to jitter buffer overflow and underflow and passes this information to the sending endpoint through RTCP as jitter buffer packet loss.
The jitter packet loss provides a measure of network jitter and delay. Excessive packet loss is an indication that the media path is not able to support the bandwidth requirements of the media stream. If the packet loss ratio exceeds the acceptable packet loss ratio for the current CODEC set configuration as established in the optimization databases (see
In still another embodiment of the present invention, if action 1 or 2 above has been taken, the bandwidth is periodically measured during silence intervals to determine if the conditions are again suitable for restoring the previous CODEC set configuration.
Systems and methods for dynamically adapting the transmission rate for real-time communication over IP communications to the available bandwidth have been disclosed. It will be understood by those skilled in the art that the present invention may be embodied in other specific forms without departing from the scope of the invention disclosed and that the examples and embodiments described herein are in all respects illustrative and not restrictive. Those skilled in the art of the present invention will recognize that other embodiments using the concepts described herein are also possible. Additionally, as will be appreciated by those skilled in the art, references to specific network protocols are illustrative and not limiting. Further, any reference to claim elements in the singular, for example, using the articles “a,” “an,” or “the” is not to be construed as limiting the element to the singular.
This application is a continuation-in-part patent application of, and claims priority from, U.S. patent application Ser. No. 12/262,892, filed Oct. 31, 2008 and entitled “METHOD AND SYSTEM OF RENEGOTIATING END-TO-END VOICE OVER INTERNET PROTOCOL CODECS,” which is a continuation of U.S. patent application Ser. No. 11/078,059, filed Mar. 11, 2005 (now U.S. Pat. No. 7,460,480) and entitled “DYNAMICALLY ADAPTING THE TRANSMISSION RATE OF PACKETS IN REAL-TIME VOIP COMMUNICATIONS TO THE AVAILABLE BANDWIDTH,” which claims the benefit of U.S. Provisional Patent Application No. 60/552,359, filed on Mar. 11, 2004, each of which is hereby incorporated by reference in its entirety. This application is a continuation-in-part patent application of, and claims priority from, U.S. patent application Ser. No. 12/538,687, filed on Aug. 10, 2009, and entitled “SYSTEMS AND METHODS OF INITIATING A CALL,” which claims the benefit of U.S. Provisional Patent Application No. 61/089,097, filed Aug. 15, 2008, each of which is hereby incorporated by reference in its entirety.
Number | Name | Date | Kind |
---|---|---|---|
5402481 | Waldman | Mar 1995 | A |
5809128 | McMullin | Sep 1998 | A |
5987103 | Martino | Nov 1999 | A |
6014440 | Melkild et al. | Jan 2000 | A |
6091732 | Alexander, Jr. et al. | Jul 2000 | A |
6104757 | Rhee | Aug 2000 | A |
6118768 | Bhatia et al. | Sep 2000 | A |
6125113 | Farris et al. | Sep 2000 | A |
6141345 | Goeddel et al. | Oct 2000 | A |
6185288 | Wong | Feb 2001 | B1 |
6256778 | Oliver | Jul 2001 | B1 |
6307853 | Storch et al. | Oct 2001 | B1 |
6351464 | Galvin et al. | Feb 2002 | B1 |
6359880 | Curry et al. | Mar 2002 | B1 |
6377570 | Vaziri et al. | Apr 2002 | B1 |
6389005 | Cruickshank | May 2002 | B1 |
6389038 | Goldberg et al. | May 2002 | B1 |
6434139 | Liu et al. | Aug 2002 | B1 |
6445694 | Swartz | Sep 2002 | B1 |
6449251 | Awadallah et al. | Sep 2002 | B1 |
6496477 | Perkins et al. | Dec 2002 | B1 |
6542497 | Curry et al. | Apr 2003 | B1 |
6597686 | Smyk | Jul 2003 | B1 |
6603774 | Knappe et al. | Aug 2003 | B1 |
6618761 | Munger et al. | Sep 2003 | B2 |
6636504 | Albers et al. | Oct 2003 | B1 |
6658496 | Minakata et al. | Dec 2003 | B1 |
6700956 | Chang et al. | Mar 2004 | B2 |
6760324 | Scott et al. | Jul 2004 | B1 |
6763226 | McZeal, Jr. | Jul 2004 | B1 |
6771594 | Upadrasta | Aug 2004 | B1 |
6771953 | Chow et al. | Aug 2004 | B1 |
6788769 | Waites | Sep 2004 | B1 |
6795540 | Mow | Sep 2004 | B1 |
6822957 | Schuster et al. | Nov 2004 | B1 |
6826174 | Erekson et al. | Nov 2004 | B1 |
6856612 | Bjelland et al. | Feb 2005 | B1 |
6865150 | Perkins et al. | Mar 2005 | B1 |
6886027 | Tajiri et al. | Apr 2005 | B2 |
6895000 | Lai et al. | May 2005 | B2 |
6907031 | Ehlinger et al. | Jun 2005 | B1 |
6947417 | Laursen et al. | Sep 2005 | B2 |
6954454 | Schuster et al. | Oct 2005 | B1 |
7012888 | Schoeneberger et al. | Mar 2006 | B2 |
7016481 | McElvaney | Mar 2006 | B2 |
7046658 | Kundaje et al. | May 2006 | B1 |
7046683 | Zhao | May 2006 | B1 |
7092380 | Chen et al. | Aug 2006 | B1 |
7113500 | Bollinger et al. | Sep 2006 | B1 |
7145900 | Nix et al. | Dec 2006 | B2 |
7212622 | Delaney et | May 2007 | B2 |
7213766 | Ryan et al. | May 2007 | B2 |
7218722 | Turner et al. | May 2007 | B1 |
7283542 | Mitchell | Oct 2007 | B2 |
7302053 | Chang et al. | Nov 2007 | B2 |
7570630 | Phillips et al. | Aug 2009 | B1 |
7586923 | Zhao et al. | Sep 2009 | B2 |
7643414 | Minhazuddin | Jan 2010 | B1 |
8165572 | Kirchhoff et al. | Apr 2012 | B1 |
20010038033 | Habib | Nov 2001 | A1 |
20010038610 | Decker et al. | Nov 2001 | A1 |
20020007273 | Chen | Jan 2002 | A1 |
20020052965 | Dowling | May 2002 | A1 |
20020097843 | Krol et al. | Jul 2002 | A1 |
20020131604 | Amine | Sep 2002 | A1 |
20020147912 | Shmueli et al. | Oct 2002 | A1 |
20020184376 | Sternagle | Dec 2002 | A1 |
20020191621 | Jha | Dec 2002 | A1 |
20020191768 | Stoughton | Dec 2002 | A1 |
20030002479 | Vortman et al. | Jan 2003 | A1 |
20030012137 | Abdelilah et al. | Jan 2003 | A1 |
20030023669 | DeLima et al. | Jan 2003 | A1 |
20030064716 | Gailey et al. | Apr 2003 | A1 |
20030069934 | Garcia-Martin et al. | Apr 2003 | A1 |
20030093606 | Mambakkam et al. | May 2003 | A1 |
20030110257 | Hyun et al. | Jun 2003 | A1 |
20030112820 | Beach | Jun 2003 | A1 |
20030123388 | Bradd | Jul 2003 | A1 |
20030135376 | Harada | Jul 2003 | A1 |
20030161453 | Veschi | Aug 2003 | A1 |
20030204619 | Bays | Oct 2003 | A1 |
20030214939 | Eldumiati et al. | Nov 2003 | A1 |
20030219006 | Har | Nov 2003 | A1 |
20030224780 | Rodman et al. | Dec 2003 | A1 |
20040019539 | Raman et al. | Jan 2004 | A1 |
20040032860 | Mundra et al. | Feb 2004 | A1 |
20040032862 | Schoeneberger et al. | Feb 2004 | A1 |
20040047451 | Barker et al. | Mar 2004 | A1 |
20040086093 | Schranz | May 2004 | A1 |
20040114581 | Hans et al. | Jun 2004 | A1 |
20040133668 | Nicholas, III | Jul 2004 | A1 |
20040141508 | Schoeneberger et al. | Jul 2004 | A1 |
20040141758 | El-Reedy | Jul 2004 | A1 |
20040160979 | Pepin et al. | Aug 2004 | A1 |
20040165578 | Burritt et al. | Aug 2004 | A1 |
20040205023 | Hafer et al. | Oct 2004 | A1 |
20040205777 | Zalenski et al. | Oct 2004 | A1 |
20040218583 | Adan et al. | Nov 2004 | A1 |
20040223458 | Gentle | Nov 2004 | A1 |
20040240430 | Lin et al. | Dec 2004 | A1 |
20040248590 | Chan et al. | Dec 2004 | A1 |
20040252701 | Anandakumar et al. | Dec 2004 | A1 |
20040258003 | Kokot et al. | Dec 2004 | A1 |
20050002506 | Bender et al. | Jan 2005 | A1 |
20050047364 | Matsukura et al. | Mar 2005 | A1 |
20050074031 | Sunstrum | Apr 2005 | A1 |
20050074122 | Fascenda | Apr 2005 | A1 |
20050089052 | Chen et al. | Apr 2005 | A1 |
20050091392 | Gesswein et al. | Apr 2005 | A1 |
20050094621 | Acharya et al. | May 2005 | A1 |
20050138183 | O'Rourke et al. | Jun 2005 | A1 |
20050157727 | Date et al. | Jul 2005 | A1 |
20050180464 | McConnell et al. | Aug 2005 | A1 |
20050195799 | Burne et al. | Sep 2005 | A1 |
20050220083 | Takeuchi | Oct 2005 | A1 |
20050243733 | Crawford et al. | Nov 2005 | A1 |
20060005033 | Wood | Jan 2006 | A1 |
20060008059 | Ying et al. | Jan 2006 | A1 |
20060029062 | Rao et al. | Feb 2006 | A1 |
20060029063 | Rao et al. | Feb 2006 | A1 |
20060031393 | Cooney et al. | Feb 2006 | A1 |
20060034296 | Talucci | Feb 2006 | A1 |
20060037071 | Rao et al. | Feb 2006 | A1 |
20060039356 | Rao et al. | Feb 2006 | A1 |
20060088025 | Barkley et al. | Apr 2006 | A1 |
20060183489 | Modeo | Aug 2006 | A1 |
20060205404 | Gonen et al. | Sep 2006 | A1 |
20060208066 | Finn et al. | Sep 2006 | A1 |
20060227957 | Dolan et al. | Oct 2006 | A1 |
20060256810 | Yarlagadda et al. | Nov 2006 | A1 |
20060276230 | McConnell | Dec 2006 | A1 |
20070015535 | LaBauve et al. | Jan 2007 | A1 |
20070049329 | Mayer et al. | Mar 2007 | A1 |
20070167167 | Jiang | Jul 2007 | A1 |
20070177580 | Ragona et al. | Aug 2007 | A1 |
20070183397 | Bennett | Aug 2007 | A1 |
20070201646 | Metcalf | Aug 2007 | A1 |
20070211767 | Todd et al. | Sep 2007 | A1 |
20070217582 | Lesser | Sep 2007 | A1 |
20070223679 | Chatterjee et al. | Sep 2007 | A1 |
20070238472 | Wanless | Oct 2007 | A1 |
20070248081 | Barkley et al. | Oct 2007 | A1 |
20070253545 | Chatterjee et al. | Nov 2007 | A1 |
20070275702 | Hwang | Nov 2007 | A1 |
20070280464 | Hughes et al. | Dec 2007 | A1 |
20070293212 | Quon et al. | Dec 2007 | A1 |
20080025291 | Barkley et al. | Jan 2008 | A1 |
20080037729 | Mobin et al. | Feb 2008 | A1 |
20080056239 | Loingtier | Mar 2008 | A1 |
20080062997 | Nix | Mar 2008 | A1 |
20080113649 | Ibacache et al. | May 2008 | A1 |
20080123686 | Lee et al. | May 2008 | A1 |
20080139210 | Gisby et al. | Jun 2008 | A1 |
20080207190 | Altberg et al. | Aug 2008 | A1 |
20080253543 | Aharon | Oct 2008 | A1 |
20080267377 | Siegrist | Oct 2008 | A1 |
20090003316 | Lee et al. | Jan 2009 | A1 |
20090073960 | Kalaboukis | Mar 2009 | A1 |
20090147778 | Wanless et al. | Jun 2009 | A1 |
20090156222 | Bender et al. | Jun 2009 | A1 |
20090245179 | Liu et al. | Oct 2009 | A1 |
20090281901 | Lin et al. | Nov 2009 | A1 |
Number | Date | Country |
---|---|---|
1 885 104 | Feb 2008 | EP |
WO 03056776 | Jul 2003 | WO |
WO 2007091264 | Aug 2007 | WO |
Entry |
---|
Bennet, “Memory in a flash” www.theage.com.au pp. 1-3 (2004). |
“Brief introduction to QiiQ Communications Inc. and Eccocarrier Inc.” www.qiiq.com pp. 1-7 (printed Jun. 10, 2005 and Jul. 17, 2007). |
Camarillo, et al., “Integration of resource management and session initiation protocol (SIP)” RFC 3312: 1-30 (2002). |
“CommGenie VoIP Suite” www.nexge.com pp. 1-3 (printed Jun. 1, 2005). |
EcoCarrier, “Ecophone,” www.ecocarrier.com pp. 1-3 (printed Jun. 13, 2005). |
“EcoFone + VoIP!Phone Q-FONE-USB” pp. 1-3 (printed Jun. 10, 2005). |
“Pocki Phone—VoIP Softphone + USB Flash Disk Drive (128M)” www.welltech.com pp. 1-2 (printed Oct. 5, 2004). |
“Pre-paid Call Credits—Adding Extra Call Credits” www.2hands.com.au pp. 1-2 (printed Jun. 1, 2005). |
Rosenberg, J., et al, “SIP: Session Initiation Protocol” RFC 3261: 1-18 (2002). |
Rosenberg, J. et al, “STUN—Simple Traversal of User Datagram Protocol (UDP) Through Network Address Translators (NATs)” RRC 3489: 1-47 (2003). |
Schulzrinne, H., “Dynamic Host Configuration Protocol (DHCP-for-IPv4) Option for Session Initiation Protocol (SIP) Servers” RFC 3361: 1-7 (2002). |
“SIPphoneCasting. Inspired by: Skype Podcast Recorder = SkypeCasters” www.linuxathome.com pp. 1-4 (Dec. 29, 2004). |
Tittel, E. “Cool Tools: USB Desktop Peripherals and Devices” www.certmag.com pp. 1-7 (Jun. 2005, accessed Jul. 20, 2007). |
Trembley, J. “VoIP makes real-time billing a necessity” Billing Plus, 6(17): 13 (2004). |
“Web Based VoIP Billing, VoIP Routing, and VoIP Management Software,” www.webvoip.com pp. 1-2 (printed Jun. 1, 2005). |
Number | Date | Country | |
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20130215774 A1 | Aug 2013 | US |
Number | Date | Country | |
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60552359 | Mar 2004 | US | |
61089097 | Aug 2008 | US |
Number | Date | Country | |
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Parent | 11078059 | Mar 2005 | US |
Child | 12262892 | US |
Number | Date | Country | |
---|---|---|---|
Parent | 12262892 | Oct 2008 | US |
Child | 13760709 | US | |
Parent | 12538687 | Aug 2009 | US |
Child | 11078059 | US |