US20110194452A1 - Transmitting Data with Multiple Priorities as OFDM Symbols - Google Patents

Transmitting Data with Multiple Priorities as OFDM Symbols Download PDF

Info

Publication number
US20110194452A1
US20110194452A1 US13/092,562 US201113092562A US2011194452A1 US 20110194452 A1 US20110194452 A1 US 20110194452A1 US 201113092562 A US201113092562 A US 201113092562A US 2011194452 A1 US2011194452 A1 US 2011194452A1
Authority
US
United States
Prior art keywords
data
channel
priority
layer
queue
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Abandoned
Application number
US13/092,562
Inventor
Philip Orlik
Raymond Yim
Chunjie Duan
Jinyun Zhang
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Mitsubishi Electric Research Laboratories Inc
Original Assignee
Mitsubishi Electric Research Laboratories Inc
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Mitsubishi Electric Research Laboratories Inc filed Critical Mitsubishi Electric Research Laboratories Inc
Priority to US13/092,562 priority Critical patent/US20110194452A1/en
Publication of US20110194452A1 publication Critical patent/US20110194452A1/en
Assigned to MITSUBISHI ELECTRIC RESEARCH LABORATORIES, INC. reassignment MITSUBISHI ELECTRIC RESEARCH LABORATORIES, INC. ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Assignors: YIM, RAYMOND, DUAN, CHUNJIE, ZHANG, JINYUN, ORLIK, PHILIP V.
Abandoned legal-status Critical Current

Links

Images

Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N19/00Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
    • H04N19/60Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using transform coding
    • H04N19/61Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using transform coding in combination with predictive coding
    • H04N19/615Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using transform coding in combination with predictive coding using motion compensated temporal filtering [MCTF]
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N19/00Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
    • H04N19/10Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding
    • H04N19/102Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the element, parameter or selection affected or controlled by the adaptive coding
    • H04N19/103Selection of coding mode or of prediction mode
    • H04N19/105Selection of the reference unit for prediction within a chosen coding or prediction mode, e.g. adaptive choice of position and number of pixels used for prediction
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N19/00Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
    • H04N19/46Embedding additional information in the video signal during the compression process
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N19/00Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
    • H04N19/50Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using predictive coding
    • H04N19/597Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using predictive coding specially adapted for multi-view video sequence encoding
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N19/00Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
    • H04N19/60Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using transform coding
    • H04N19/61Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using transform coding in combination with predictive coding
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N19/00Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
    • H04N19/60Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using transform coding
    • H04N19/63Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using transform coding using sub-band based transform, e.g. wavelets
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N19/00Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
    • H04N19/10Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding
    • H04N19/102Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the element, parameter or selection affected or controlled by the adaptive coding
    • H04N19/13Adaptive entropy coding, e.g. adaptive variable length coding [AVLC] or context adaptive binary arithmetic coding [CABAC]

Definitions

  • This invention relates to generally to wireless communications, and more particularly to sending data with multiple priorities as OFDM symbols.
  • a communication network can carry different types of data that require different quality of services (QoS) and priority.
  • QoS quality of services
  • the data are transmitted as of packets, which constitute bit streams of traffic in the network.
  • Some data can require transmission to have extremely low probability of error, and other data can require low latency.
  • high priority data requires stringent reliability or latency requirement.
  • lower priority data can be delayed at the application, layer, or a medium access control (MAC) layer of a communication protocol stack.
  • MAC medium access control
  • an Enhanced Distributed Coordination Function deals with data with multiple priorities. In essence, different back-off parameters are used to control a contention-based channel access for different priorities, so that higher priority data have a higher priority access to a channel.
  • OFDM Orthogonal frequency-division multiplexing
  • CBR constant bit rate
  • a physical (PHY) layer of a communication protocol stack different channel coding can be used to achieve different level of error correction.
  • the channel coding is selected based on a quality of the channel. For example, a better channel can support a higher data rate. This is achieved by using higher order modulation and less error correction.
  • a new PHY is instantiated with appropriate parameters so that the reliability requirement is met. In general, the PHY layer does not consider the priority of the data.
  • FIG. 1 shows a protocol stack with Application 100 , MAC 110 and PHY 120 layers.
  • the Application layer can be, or include other layers.
  • the MAC layer includes corresponding queues 111 - 112 for the packets 101 - 101 received from the application layer with different priorities, which are then sent 115 to the PHY layer.
  • the PHY layer performs channel coding 131 , symbol to subcarrier mapping 132 , and OFDM transmission 133 independent of data priorities.
  • the frequency response of a wireless channel can drastically affect the quality of communication over specific frequency. It is desired to transmit OFDM symbols with multiple priorities considering the channel quality.
  • Embodiments of the invention provide a method to transmit OFDM symbols for data with multiple priorities over wireless channel in the presence of narrow band interference.
  • FIG. 1 is schematic of a prior art communication protocol stack
  • FIG. 2 is schematic of a communication protocol stack according to embodiments of the invention.
  • FIGS. 3A and 3B are schematics of channel response and interference as a function of packet priority
  • FIG. 4 is a flow diagram of a mapping procedure according to embodiments of the invention.
  • FIGS. 5A-5C are schematics of probability distribution of channel response of different subcarriers for different priorities.
  • FIG. 2 shows a protocol stack in a transmitter according to embodiments of our invention.
  • the protocol stack is used to transmit data using a set of two or more priorities. For simplicity, data packets 101 - 102 with only two priorities are shown. The generalization to the case with more than two priorities is straightforward.
  • Priority 1 packets are stored in a MAC queue 211
  • priority 2 packets are stored in a MAC queue 2 212 .
  • MAC queue 1 sends data to a channel coding block 1 , 215 , in the PHY layer
  • MAC queue 2 sends data to channel coding block 2 , 216 .
  • the channel coding block sends symbols to a symbol to subcarrier mapping block, which in turn performs OFDM transmission 232 .
  • the channel coding blocks can provide different level of forward error correction (FEC) for each priority.
  • FEC forward error correction
  • the symbol to subcarrier mapping block does not consider the priority of the data.
  • the symbol to subcarrier mapping block does considers the different priorities.
  • the mapping also depends on an interference location or channel quality 233 .
  • the interference location and/or channel quality can be estimated directly by the transmitter.
  • a receiver report 234 the interference and/or channel quality to the transmitter on an uplink channel.
  • rate control block to control the rate at which data in each queue are sent to the PHY layer. Because the rate of incoming data, cannot be controlled by the MAC layer, the rate can be higher than the data rate allowed in the transmission, thus some data are necessarily queued.
  • each queue sends data directly to the corresponding channel coding blocks of PHY layer.
  • the rate control block ensures that PHY layer transmits the data at an optimal rate for each priority.
  • the rate control block serves two functions. First, the rate control block determines the data rate supported by PHY layer. In some networks, parameters of the PHY layer are fixed, and the rate control block knows exactly how much data can be sent for each priority. In other networks, adaptive modulation and coding can be used in the PHY layer. In this case, the rate control block also receives coding information 217 from the channel coding blocks in the PHY layer to determine how much data from each queue can be sent at a given time.
  • the rate control block determines queuing information 218 from and for each of the queues. This enables the rate control block to control the amount of data sent to the channel coding blocks.
  • the rate control block has the quality of service requirements of all data.
  • FIG. 3A show the channel response as a function of frequency for different priorities.
  • FIG. 3B shows the interference power at the receiver as a function of frequencies for the different priorities.
  • the interference power at subcarrier i is I i
  • the channel response is H i .
  • the mapping procedure first determines 410 channel-over-interference ratios ⁇ i so that
  • the procedure sorts 420 the ratios in a descending order.
  • the subcarrier index that has the k th largest value of ⁇ i is z k .
  • the procedure assigns 430 with high to low priorities are assigned to the sub-carriers according to the high to low order of the channel-over-interference ratios. In other words, if the highest priority requires data S 1 subcarriers, then the data are mapped to subcarriers z 1 , z 2 , . . . , z S1 .
  • the OFDM transmissions also use a permutation function to account for channel diversity. Conventional permutation technique also applies to this invention.
  • Each OFDM frame contains W symbols.
  • the rate control block allows D i bits of data to go to PHY for data of priority i.
  • Q i -QAM quality quadrature amplitude modulation
  • priority 1 data are sent on subcarriers z 1 , . . . z S1
  • priority 2 data are be sent on subcarriers z S1+1 , . . . , z S1+S2 , and so on.
  • the channel coding block needs to select the appropriate value for R i and Q i to ensure that the reliability of transmission matches with the quality of service requirement of a specific priority data. Because the subcarriers corresponding to better channel response are assigned to high priority data, it is important to know the receive power for transmitted high priority data.
  • FIGS. 5A-C shows the probability distribution of channel response of different subcarrier as a function of the channel-over-interference ratio ⁇ i for different priorities.
  • the distribution in FIG. 5A depends on the wireless channel.
  • the resulting probability distribution for high priority channel is shifted to higher values, see FIG. 5B
  • the resulting probability distribution for low priority channel is shifted to the lower value, see FIG. 5C .
  • the resulting distribution for high and low priority data can be obtained from order statistic based on the original distribution.
  • the channel with a higher channel-over-interference ratio ⁇ i is used for higher priority data, more efficient modulation and coding (value for Q i and R i ) can be used to satisfy stringent quality of service requirement. Hence, the number of subcarrier S i required for higher priority data can be reduced.
  • the rate control block From the perspective of the rate control block, the values Q i , R i and W are fixed.
  • queue i stores B i bits of data.
  • the rate control block receives B i from the respective queues.
  • Q i , R i , W and M are known.
  • the MAC layer does know the rate at which data are stored in the queues.
  • the rate control block can determine D i based on the amount of data in each queue, and the coding information received from the PHY layer.
  • a priority rule is applied, so that priority 1 data always has priority over all other priority data.
  • the priority rate control sets
  • D 1 min( B 1 ,MWR 1 log 2 ( Q 1 )).

Landscapes

  • Engineering & Computer Science (AREA)
  • Multimedia (AREA)
  • Signal Processing (AREA)
  • Compression Or Coding Systems Of Tv Signals (AREA)
  • Testing, Inspecting, Measuring Of Stereoscopic Televisions And Televisions (AREA)
  • Mobile Radio Communication Systems (AREA)

Abstract

A transmitter transmits data having a set of two or more priorities on subcarriers using orthogonal frequency division multiplexing (OFDM) symbols. The transmitter includes a media access (MAC) layer, wherein the MAC layer further includes a queue for storing data at each priority, a rate control block connected to each queue, and a physical (PHY) layer. The PHY layer further includes a channel coder for each priority, wherein each channel coder is connected to the corresponding queue to receive data, and to the rate control block to send coding information.

Description

    FIELD OF THE INVENTION
  • This invention relates to generally to wireless communications, and more particularly to sending data with multiple priorities as OFDM symbols.
  • BACKGROUND OF HE INVENTION
  • A communication network can carry different types of data that require different quality of services (QoS) and priority. Typically, the data are transmitted as of packets, which constitute bit streams of traffic in the network. Some data can require transmission to have extremely low probability of error, and other data can require low latency. Generally, when multiple types of data are present in a network, high priority data requires stringent reliability or latency requirement.
  • In communication networks, lower priority data can be delayed at the application, layer, or a medium access control (MAC) layer of a communication protocol stack. According to the IEEE 802.11e standard, an Enhanced Distributed Coordination Function (EDCF) deals with data with multiple priorities. In essence, different back-off parameters are used to control a contention-based channel access for different priorities, so that higher priority data have a higher priority access to a channel. Orthogonal frequency-division multiplexing (OFDM) transmission with multiple priorities can first allocate wireless resources to constant bit rate (CBR) data.
  • In a physical (PHY) layer of a communication protocol stack, different channel coding can be used to achieve different level of error correction. In the prior art, the channel coding is selected based on a quality of the channel. For example, a better channel can support a higher data rate. This is achieved by using higher order modulation and less error correction. When a high level of reliability is required for data, a new PHY is instantiated with appropriate parameters so that the reliability requirement is met. In general, the PHY layer does not consider the priority of the data.
  • FIG. 1 shows a protocol stack with Application 100, MAC 110 and PHY 120 layers. Generally, the Application layer can be, or include other layers. The MAC layer includes corresponding queues 111-112 for the packets 101-101 received from the application layer with different priorities, which are then sent 115 to the PHY layer. The PHY layer performs channel coding 131, symbol to subcarrier mapping 132, and OFDM transmission 133 independent of data priorities.
  • The frequency response of a wireless channel, as well as the presence of narrowband interference, can drastically affect the quality of communication over specific frequency. It is desired to transmit OFDM symbols with multiple priorities considering the channel quality.
  • SUMMARY OF THE INVENTION
  • Embodiments of the invention provide a method to transmit OFDM symbols for data with multiple priorities over wireless channel in the presence of narrow band interference.
  • BRIEF DESCRIPTION OF THE DRAWINGS
  • FIG. 1 is schematic of a prior art communication protocol stack;
  • FIG. 2 is schematic of a communication protocol stack according to embodiments of the invention;
  • FIGS. 3A and 3B are schematics of channel response and interference as a function of packet priority;
  • FIG. 4 is a flow diagram of a mapping procedure according to embodiments of the invention;
  • FIGS. 5A-5C are schematics of probability distribution of channel response of different subcarriers for different priorities.
  • DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENT
  • FIG. 2 shows a protocol stack in a transmitter according to embodiments of our invention. The protocol stack is used to transmit data using a set of two or more priorities. For simplicity, data packets 101-102 with only two priorities are shown. The generalization to the case with more than two priorities is straightforward.
  • Priority 1 packets are stored in a MAC queue 211, and priority 2 packets are stored in a MAC queue 2 212. There is one queue for each priority. MAC queue 1 sends data to a channel coding block 1, 215, in the PHY layer, and MAC queue 2 sends data to channel coding block 2, 216.
  • The channel coding block sends symbols to a symbol to subcarrier mapping block, which in turn performs OFDM transmission 232.
  • In contrast with the prior art, there is also one channel coding block for each priority. The channel coding blocks can provide different level of forward error correction (FEC) for each priority. After the channel coding, the encoded symbols of all priorities are mapped to a single symbol using the symbol to subcarrier block mapping block.
  • In the prior art, the symbol to subcarrier mapping block does not consider the priority of the data. In this invention, the symbol to subcarrier mapping block does considers the different priorities. Furthermore, the mapping also depends on an interference location or channel quality 233. The interference location and/or channel quality can be estimated directly by the transmitter. Alternatively, a receiver report 234 the interference and/or channel quality to the transmitter on an uplink channel.
  • Another key difference between this invention and the prior art is the rate control block to control the rate at which data in each queue are sent to the PHY layer. Because the rate of incoming data, cannot be controlled by the MAC layer, the rate can be higher than the data rate allowed in the transmission, thus some data are necessarily queued.
  • In the prior art, because there is a single interface between the MAC and PHY layer, only the MAC layer regulates the amount of data sent to the PHY layer by monitoring a single interface.
  • In this invention, there are multiple MAC queues, and each queue sends data directly to the corresponding channel coding blocks of PHY layer. The rate control block ensures that PHY layer transmits the data at an optimal rate for each priority.
  • The rate control block serves two functions. First, the rate control block determines the data rate supported by PHY layer. In some networks, parameters of the PHY layer are fixed, and the rate control block knows exactly how much data can be sent for each priority. In other networks, adaptive modulation and coding can be used in the PHY layer. In this case, the rate control block also receives coding information 217 from the channel coding blocks in the PHY layer to determine how much data from each queue can be sent at a given time.
  • Second, the rate control block determines queuing information 218 from and for each of the queues. This enables the rate control block to control the amount of data sent to the channel coding blocks. The rate control block has the quality of service requirements of all data.
  • FIG. 3A show the channel response as a function of frequency for different priorities. FIG. 3B shows the interference power at the receiver as a function of frequencies for the different priorities.
  • Mapping Procedure
  • In general, at the receiver, the interference power at subcarrier i is Ii, and the channel response is Hi.
  • As shown in FIG. 4, the mapping procedure first determines 410 channel-over-interference ratios ξi so that
  • ξ i = H i I i .
  • Then, the procedure sorts 420 the ratios in a descending order. The subcarrier index that has the kth largest value of ξi is zk. Then, the procedure assigns 430 with high to low priorities are assigned to the sub-carriers according to the high to low order of the channel-over-interference ratios. In other words, if the highest priority requires data S1 subcarriers, then the data are mapped to subcarriers z1, z2, . . . , zS1.
  • In addition to the subcarrier mapping, the OFDM transmissions also use a permutation function to account for channel diversity. Conventional permutation technique also applies to this invention.
  • Consider an OFDM transmission using M subcarriers, and data with a set of N priorities, where N>1. Each OFDM frame contains W symbols. Furthermore, the channel coding rate of the respective priority is Ri, i=1, . . . , N. The rate control block allows Di bits of data to go to PHY for data of priority i. Furthermore, Qi-QAM (quality quadrature amplitude modulation) is used to send data of priority i.
  • Given this information, we can determine the number of subcarriers required for data of each priority. We denote the number of subcarrier for priority i by Si.
  • S i = D i WR i log 2 ( Q i ) . ( 1 )
  • The rate control block ensures that S1+S2+ . . . +SN=M.
  • After the procedure determines the ratio ξi, and the sorted subcarrier index zi, priority 1 data are sent on subcarriers z1, . . . zS1, priority 2 data are be sent on subcarriers zS1+1, . . . , zS1+S2, and so on.
  • The channel coding block needs to select the appropriate value for Ri and Qi to ensure that the reliability of transmission matches with the quality of service requirement of a specific priority data. Because the subcarriers corresponding to better channel response are assigned to high priority data, it is important to know the receive power for transmitted high priority data.
  • FIGS. 5A-C shows the probability distribution of channel response of different subcarrier as a function of the channel-over-interference ratio ξi for different priorities. The distribution in FIG. 5A depends on the wireless channel. When a better channel is assigned to high priority data, the resulting probability distribution for high priority channel is shifted to higher values, see FIG. 5B, and the resulting probability distribution for low priority channel is shifted to the lower value, see FIG. 5C. The resulting distribution for high and low priority data can be obtained from order statistic based on the original distribution.
  • Because the channel with a higher channel-over-interference ratio ξi is used for higher priority data, more efficient modulation and coding (value for Qi and Ri) can be used to satisfy stringent quality of service requirement. Hence, the number of subcarrier Si required for higher priority data can be reduced.
  • Rate Control Block
  • From the perspective of the rate control block, the values Qi, Ri and W are fixed. The rate control block obtains the values from channel coding blocks, the network, or during initialization. In view of Eq. 1, the rate control block needs to determine Di, the number of bits sent to the PHY layer, so that the corresponding Si values satisfy the condition S1+S2+ . . . +SN=M.
  • We assume that queue i stores Bi bits of data. The rate control block receives Bi from the respective queues. As stated previously, Qi, Ri, W and M are known. In general, the MAC layer does know the rate at which data are stored in the queues. However, the rate control block can determine Di based on the amount of data in each queue, and the coding information received from the PHY layer.
  • In one embodiment, a priority rule is applied, so that priority 1 data always has priority over all other priority data. In this case, the priority rate control sets

  • D 1=min(B 1 ,MWR 1 log2(Q 1)).
  • and in general,
  • D i = min ( B i , ( M - j = 1 i - 1 D j WR j log 2 ( Q j ) ) WR i log 2 ( Q i ) ) for i 2.
  • Although the invention has been described by way of examples of preferred embodiments, it is to be understood that various other adaptations and modifications can be made within the spirit and scope of the invention. Therefore, it is the object of the appended claims to cover all such variations and modifications as come within the true spirit and scope of the invention.

Claims (7)

1. A transmitter for transmitting data having a set of two or more priorities on subcarriers using orthogonal frequency division multiplexing (OFDM) symbols, comprising:
a media access (MAC) layer, wherein the MAC layer further comprises:
a queue for storing data at each priority; and
a rate control block connected to each queue;
a physical (PHY) layer, wherein the PHY layer further comprises:
a channel coder for each priority, wherein each channel coder is connected to the corresponding queue to receive data, and to the rate control block to send coding information.
2. The transmitter of claim 1, wherein the PHY layer further comprises:
a symbol to subcarrier mapping block connected to each channel coding block; and
means for transmitting the ODM symbols connected to the symbol to carrier block;
means for determining channel-over-interference ratios
ξ i = H i I i ,
where Ii is an interference power at a subcarrier i, and Hi is a channel response.
3. The transmitter of claim 2, wherein the symbol to subcarrier mapping is adaptive and depends on an interference location or channel quality.
4. The method of claim 2, wherein the channel-over-interference ratios are sorted in a high to low order, and data with high to low priorities are assigned to the sub-carriers according to the high to low order of the channel-over-interference ratios.
5. The method of claim 2, wherein the subcarrier mapping block uses a permutation function to account for channel diversity.
6. The method of claim 4, wherein a number of subcarriers assigned for each priority is
S i = D i WR i log 2 ( Q i ) ,
where Di is a number of bits sent to the PHY layer, W is a number of symbols in a frame, Ri is a data rate, and Qi is a quality of service, and S1+S2+ . . . +SN=M, where M is a number of subcarriers.
7. A method for transmitting data having a set of two or more priorities on subcarriers using orthogonal frequency division multiplexing (OFDM) symbols, comprising the steps of
storing the data at each priority in a corresponding queue in a medium (MAC) layer of a transmitter;
sending the data in each queue to a corresponding coding block in a physical (PHY) layer according to a rate control in the MAC layer depending on each priority.
US13/092,562 2006-03-21 2011-04-22 Transmitting Data with Multiple Priorities as OFDM Symbols Abandoned US20110194452A1 (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
US13/092,562 US20110194452A1 (en) 2006-03-21 2011-04-22 Transmitting Data with Multiple Priorities as OFDM Symbols

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US11/385,620 US7903737B2 (en) 2005-11-30 2006-03-21 Method and system for randomly accessing multiview videos with known prediction dependency
US13/092,562 US20110194452A1 (en) 2006-03-21 2011-04-22 Transmitting Data with Multiple Priorities as OFDM Symbols

Related Parent Applications (1)

Application Number Title Priority Date Filing Date
US11/385,620 Division US7903737B2 (en) 2005-11-30 2006-03-21 Method and system for randomly accessing multiview videos with known prediction dependency

Publications (1)

Publication Number Publication Date
US20110194452A1 true US20110194452A1 (en) 2011-08-11

Family

ID=38633130

Family Applications (3)

Application Number Title Priority Date Filing Date
US11/385,620 Active 2029-09-17 US7903737B2 (en) 2005-11-30 2006-03-21 Method and system for randomly accessing multiview videos with known prediction dependency
US12/871,249 Active 2027-01-21 US8451895B2 (en) 2006-03-21 2010-08-30 Method and system for decoding multiview videos with prediction dependencies
US13/092,562 Abandoned US20110194452A1 (en) 2006-03-21 2011-04-22 Transmitting Data with Multiple Priorities as OFDM Symbols

Family Applications Before (2)

Application Number Title Priority Date Filing Date
US11/385,620 Active 2029-09-17 US7903737B2 (en) 2005-11-30 2006-03-21 Method and system for randomly accessing multiview videos with known prediction dependency
US12/871,249 Active 2027-01-21 US8451895B2 (en) 2006-03-21 2010-08-30 Method and system for decoding multiview videos with prediction dependencies

Country Status (2)

Country Link
US (3) US7903737B2 (en)
JP (5) JP4762936B2 (en)

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2017076599A1 (en) * 2015-11-06 2017-05-11 Sony Corporation Communications device, infrastructure equipment, communications system and methods
US20170238331A1 (en) * 2016-02-11 2017-08-17 Microsoft Technology Licensing, Llc Multiplexed Unequal Error Protection for Wireless Networks
US9860555B2 (en) * 2012-05-22 2018-01-02 Lg Electronics Inc. Method and apparatus for processing video signal

Families Citing this family (87)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7903737B2 (en) * 2005-11-30 2011-03-08 Mitsubishi Electric Research Laboratories, Inc. Method and system for randomly accessing multiview videos with known prediction dependency
US8155185B2 (en) * 2005-12-05 2012-04-10 Canon Kabushiki Kaisha Image coding apparatus and method
ZA200805337B (en) 2006-01-09 2009-11-25 Thomson Licensing Method and apparatus for providing reduced resolution update mode for multiview video coding
US8824548B2 (en) * 2006-03-21 2014-09-02 Mitsubishi Electric Research Laboratories, Inc. Object detecting with 1D range sensors
RU2488973C2 (en) * 2006-03-29 2013-07-27 Томсон Лайсенсинг Methods and device for use in multi-view video coding system
JP5054092B2 (en) * 2006-03-30 2012-10-24 エルジー エレクトロニクス インコーポレイティド Video signal decoding / encoding method and apparatus
US20100091845A1 (en) * 2006-03-30 2010-04-15 Byeong Moon Jeon Method and apparatus for decoding/encoding a video signal
WO2007148907A1 (en) * 2006-06-19 2007-12-27 Lg Electronics, Inc. Method and apparatus for processing a vedeo signal
KR101450921B1 (en) * 2006-07-05 2014-10-15 톰슨 라이센싱 Methods and apparatus for multi-view video encoding and decoding
CN101611633B (en) 2006-07-06 2012-10-03 汤姆逊许可证公司 Method and apparatus for decoupling frame number and/or picture order count (poc) for multi-view video encoding and decoding
RU2443074C2 (en) * 2006-07-06 2012-02-20 Томсон Лайсенсинг Method and apparatus for decoupling frame number and/or picture order count (poc) for multi-view video encoding and decoding
KR100815486B1 (en) * 2006-08-18 2008-03-20 광주과학기술원 A method and apparatus for encoding multiview video and a storage medium using the same
TWI375469B (en) * 2006-08-25 2012-10-21 Lg Electronics Inc A method and apparatus for decoding/encoding a video signal
RU2407220C2 (en) * 2006-09-20 2010-12-20 Ниппон Телеграф Энд Телефон Корпорейшн Method of coding and method of decoding of images, devices for them, program for them and information medium for storage of programs
EP2090110A2 (en) * 2006-10-13 2009-08-19 Thomson Licensing Reference picture list management syntax for multiple view video coding
KR101366092B1 (en) 2006-10-13 2014-02-21 삼성전자주식회사 Method and apparatus for encoding and decoding multi-view image
BRPI0719536A2 (en) 2006-10-16 2014-01-14 Thomson Licensing METHOD FOR USING A GENERAL LAYER UNIT IN THE WORK NETWORK SIGNALING AN INSTANT DECODING RESET DURING A VIDEO OPERATION.
EP2418854A3 (en) * 2006-10-24 2012-06-06 Thomson Licensing Picture identification for multi-view video coding
ES2389745T3 (en) * 2007-01-04 2012-10-31 Thomson Licensing Method and apparatus for hiding video error in multivist encoded video using high level syntax
KR100846802B1 (en) * 2007-02-14 2008-07-16 삼성전자주식회사 Method of decoding motion picture frame and method of encoding the same
SG179403A1 (en) * 2007-02-23 2012-04-27 Nokia Corp Backward-compatible characterization of aggregated media data units
KR101301181B1 (en) * 2007-04-11 2013-08-29 삼성전자주식회사 Method and apparatus for encoding and decoding multi-view image
US8548261B2 (en) 2007-04-11 2013-10-01 Samsung Electronics Co., Ltd. Method and apparatus for encoding and decoding multi-view image
BR122018004903B1 (en) 2007-04-12 2019-10-29 Dolby Int Ab video coding and decoding tiling
JP4720785B2 (en) * 2007-05-21 2011-07-13 富士フイルム株式会社 Imaging apparatus, image reproducing apparatus, imaging method, and program
TW200910975A (en) * 2007-06-25 2009-03-01 Nippon Telegraph & Telephone Video encoding method and decoding method, apparatuses therefor, programs therefor, and storage media for storing the programs
WO2009001777A1 (en) * 2007-06-26 2008-12-31 Taiko Pharmaceutical Co., Ltd. Method for producing chlorine dioxide and alkali composition for chlorine dioxide production which is used in the method
US20100135388A1 (en) * 2007-06-28 2010-06-03 Thomson Licensing A Corporation SINGLE LOOP DECODING OF MULTI-VIEW CODED VIDEO ( amended
MY162861A (en) 2007-09-24 2017-07-31 Koninl Philips Electronics Nv Method and system for encoding a video data signal, encoded video data signal, method and system for decoding a video data signal
CN101415114B (en) * 2007-10-17 2010-08-25 华为终端有限公司 Method and apparatus for encoding and decoding video, and video encoder and decoder
US8126279B2 (en) * 2007-11-19 2012-02-28 The University Of Arizona Lifting-based view compensated compression and remote visualization of volume rendered images
US20090219985A1 (en) * 2008-02-28 2009-09-03 Vasanth Swaminathan Systems and Methods for Processing Multiple Projections of Video Data in a Single Video File
US9113196B2 (en) * 2008-11-10 2015-08-18 Lg Electronics Inc. Method and device for processing a video signal using inter-view prediction
KR101479011B1 (en) * 2008-12-17 2015-01-13 삼성전자주식회사 Method of schedulling multi-band and broadcasting service system using the method
WO2010073513A1 (en) 2008-12-26 2010-07-01 日本ビクター株式会社 Image encoding device, image encoding method, program thereof, image decoding device, image decoding method, and program thereof
US20100175312A1 (en) * 2009-01-13 2010-07-15 Allan Donald Roden Method for producing biodiesel material
EP2389764A2 (en) 2009-01-26 2011-11-30 Thomson Licensing Frame packing for video coding
WO2010093350A1 (en) * 2009-02-13 2010-08-19 Thomson Licensing Depth map coding using video information
US20100309287A1 (en) * 2009-03-20 2010-12-09 Rodriguez Tony F 3D Data Representation, Conveyance, and Use
JP5574345B2 (en) * 2009-03-26 2014-08-20 パナソニック インテレクチュアル プロパティ コーポレーション オブ アメリカ Encoding method, error detection method, decoding method, encoding device, error detection device, and decoding device
JP5542912B2 (en) 2009-04-09 2014-07-09 テレフオンアクチーボラゲット エル エム エリクソン(パブル) Media container file management
US20100259595A1 (en) * 2009-04-10 2010-10-14 Nokia Corporation Methods and Apparatuses for Efficient Streaming of Free View Point Video
KR101632076B1 (en) * 2009-04-13 2016-06-21 삼성전자주식회사 Apparatus and method for transmitting stereoscopic image data according to priority
CN102461171A (en) 2009-05-01 2012-05-16 汤姆森特许公司 Reference picture lists for 3dv
JPWO2010131537A1 (en) * 2009-05-11 2012-11-01 株式会社エヌ・ティ・ティ・ドコモ Moving picture coding apparatus, method and program, and moving picture decoding apparatus, method and program
US8411746B2 (en) * 2009-06-12 2013-04-02 Qualcomm Incorporated Multiview video coding over MPEG-2 systems
US8780999B2 (en) * 2009-06-12 2014-07-15 Qualcomm Incorporated Assembling multiview video coding sub-BITSTREAMS in MPEG-2 systems
US9148673B2 (en) 2009-06-25 2015-09-29 Thomson Licensing Depth map coding
US20110045408A1 (en) * 2009-08-20 2011-02-24 Shota Suzuki Color-forming photosensitive composition, lithographic printing plate precursor and novel cyanine dye
JP2011082683A (en) * 2009-10-05 2011-04-21 Sony Corp Image processing apparatus, image processing method, and program
US20120212579A1 (en) * 2009-10-20 2012-08-23 Telefonaktiebolaget Lm Ericsson (Publ) Method and Arrangement for Multi-View Video Compression
KR101828096B1 (en) 2010-01-29 2018-02-09 톰슨 라이센싱 Block-based interleaving
KR101289269B1 (en) * 2010-03-23 2013-07-24 한국전자통신연구원 An apparatus and method for displaying image data in image system
US8463059B2 (en) * 2010-04-23 2013-06-11 Futurewei Technologies, Inc. Two-layer prediction method for multiple predictor-set intra coding
US9621930B2 (en) * 2010-05-07 2017-04-11 Deutsche Telekom Ag Distributed transcoding of video frames for transmission in a communication network
JP5392199B2 (en) * 2010-07-09 2014-01-22 ソニー株式会社 Image processing apparatus and method
WO2012036902A1 (en) 2010-09-14 2012-03-22 Thomson Licensing Compression methods and apparatus for occlusion data
DE112011103496T5 (en) * 2010-11-15 2013-08-29 Lg Electronics Inc. Method for converting a single-frame format and apparatus for using this method
CN102480789B (en) * 2010-11-25 2014-05-14 普天信息技术研究院有限公司 Code track distribution method in multiqueue code division mode
US20120189060A1 (en) * 2011-01-20 2012-07-26 Industry-Academic Cooperation Foundation, Yonsei University Apparatus and method for encoding and decoding motion information and disparity information
RU2480941C2 (en) * 2011-01-20 2013-04-27 Корпорация "Самсунг Электроникс Ко., Лтд" Method of adaptive frame prediction for multiview video sequence coding
US9565449B2 (en) * 2011-03-10 2017-02-07 Qualcomm Incorporated Coding multiview video plus depth content
US8787454B1 (en) 2011-07-13 2014-07-22 Google Inc. Method and apparatus for data compression using content-based features
US8693793B2 (en) * 2012-01-19 2014-04-08 Sharp Laboratories Of America, Inc. Reducing reference picture set signal overhead on an electronic device
US8867852B2 (en) 2012-01-19 2014-10-21 Sharp Kabushiki Kaisha Decoding a picture based on a reference picture set on an electronic device
WO2013111551A1 (en) * 2012-01-27 2013-08-01 パナソニック株式会社 Video encoding method, video encoding device, video decoding method and video decoding device
KR102175161B1 (en) * 2012-01-30 2020-11-06 삼성전자주식회사 Method and apparatus for multi-view video encoding based on prediction structure for viewpoint switching, method and apparatus for multi-view video decoding based on prediction structure for viewpoint switching
KR102047492B1 (en) * 2012-03-12 2019-11-22 삼성전자주식회사 Method and apparatus for scalable video encoding, method and apparatus for scalable video decoding
CN104365102B (en) * 2012-05-10 2018-01-02 Lg 电子株式会社 The method and apparatus for handling vision signal
RU2506712C1 (en) * 2012-06-07 2014-02-10 Корпорация "САМСУНГ ЭЛЕКТРОНИКС Ко., Лтд." Method for interframe prediction for multiview video sequence coding
JP2013258577A (en) * 2012-06-13 2013-12-26 Canon Inc Imaging device, imaging method and program, image encoding device, and image encoding method and program
JP5743968B2 (en) * 2012-07-02 2015-07-01 株式会社東芝 Video decoding method and video encoding method
KR102515213B1 (en) * 2012-09-10 2023-03-29 에이매스, 아이엔씨. Multi-dimensional data capture of an environment using plural devices
KR101944911B1 (en) 2012-10-31 2019-02-07 삼성전자주식회사 Image processing method and image processing apparatus
US9774927B2 (en) * 2012-12-21 2017-09-26 Telefonaktiebolaget L M Ericsson (Publ) Multi-layer video stream decoding
FR3011429A1 (en) * 2013-09-27 2015-04-03 Orange VIDEO CODING AND DECODING BY HERITAGE OF A FIELD OF MOTION VECTORS
CN103743352B (en) * 2013-12-18 2016-10-19 西安交通大学 A kind of 3 D deformation measuring method based on polyphaser coupling
US9807398B2 (en) * 2014-09-30 2017-10-31 Avago Technologies General Ip (Singapore) Pte. Ltd. Mode complexity based coding strategy selection
GB2531271A (en) 2014-10-14 2016-04-20 Nokia Technologies Oy An apparatus, a method and a computer program for image sequence coding and decoding
CN104837051B (en) * 2015-05-26 2019-02-22 腾讯科技(北京)有限公司 Video broadcasting method and client
FR3042368A1 (en) * 2015-10-08 2017-04-14 Orange MULTI-VIEW ENCODING AND DECODING METHOD, MULTI-VIEW ENCODING AND DECODING DEVICE AND CORRESPONDING COMPUTER PROGRAMS
CN105430406B (en) * 2015-12-04 2018-06-12 中国矿业大学 A kind of distributed video coding frame
EP3407637A1 (en) * 2017-05-26 2018-11-28 Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung e.V. Reduction of interference between neighbor transmissions
CN109672886B (en) * 2019-01-11 2023-07-04 京东方科技集团股份有限公司 Image frame prediction method and device and head display equipment
CN114467262A (en) 2019-09-24 2022-05-10 华为技术有限公司 SEI message dependency simplification in video coding
CN111009005A (en) * 2019-11-27 2020-04-14 天津大学 Scene classification point cloud rough registration method combining geometric information and photometric information
CN113033219A (en) * 2021-03-25 2021-06-25 北京百度网讯科技有限公司 Model training method and device, electronic equipment and computer readable storage medium

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7903737B2 (en) * 2005-11-30 2011-03-08 Mitsubishi Electric Research Laboratories, Inc. Method and system for randomly accessing multiview videos with known prediction dependency
US7924804B2 (en) * 2005-08-26 2011-04-12 Panasonic Corporation Scheduling depending on quality of service and channel properties

Family Cites Families (20)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP3443867B2 (en) * 1992-06-26 2003-09-08 ソニー株式会社 Image signal encoding / decoding method and image signal recording medium
EP0639031A3 (en) * 1993-07-09 1995-04-05 Rca Thomson Licensing Corp Method and apparatus for encoding stereo video signals.
JPH09261653A (en) * 1996-03-18 1997-10-03 Sharp Corp Multi-view-point picture encoder
JP3776595B2 (en) * 1998-07-03 2006-05-17 日本放送協会 Multi-viewpoint image compression encoding apparatus and decompression decoding apparatus
KR100397511B1 (en) * 2001-11-21 2003-09-13 한국전자통신연구원 The processing system and it's method for the stereoscopic/multiview Video
KR100523052B1 (en) * 2002-08-30 2005-10-24 한국전자통신연구원 Object base transmission-receive system and method, and object-based multiview video encoding apparatus and method for supporting the multi-display mode
US7489342B2 (en) * 2004-12-17 2009-02-10 Mitsubishi Electric Research Laboratories, Inc. Method and system for managing reference pictures in multiview videos
EP2207183B8 (en) * 2004-04-28 2012-08-08 Panasonic Corporation Moving picture stream generation apparatus, moving picture coding apparatus, moving picture multiplexing apparatus and moving picture decoding apparatus
KR100679740B1 (en) * 2004-06-25 2007-02-07 학교법인연세대학교 Method for Coding/Decoding for Multiview Sequence where View Selection is Possible
KR100587698B1 (en) * 2004-10-22 2006-06-08 주식회사 휴맥스 Selective prediction encoding/decoding method and device
CN100373953C (en) * 2004-12-29 2008-03-05 华为技术有限公司 Method for converting coding of video image in conversion equipment
US8559515B2 (en) * 2005-09-21 2013-10-15 Samsung Electronics Co., Ltd. Apparatus and method for encoding and decoding multi-view video
US8644386B2 (en) * 2005-09-22 2014-02-04 Samsung Electronics Co., Ltd. Method of estimating disparity vector, and method and apparatus for encoding and decoding multi-view moving picture using the disparity vector estimation method
KR101276720B1 (en) * 2005-09-29 2013-06-19 삼성전자주식회사 Method for predicting disparity vector using camera parameter, apparatus for encoding and decoding muti-view image using method thereof, and a recording medium having a program to implement thereof
JP2009512306A (en) * 2005-10-11 2009-03-19 ノキア コーポレイション Efficient buffer management of decoded pictures for scalable video coding
KR101244911B1 (en) * 2005-10-11 2013-03-18 삼성전자주식회사 Apparatus for encoding and decoding muti-view image by using camera parameter, and method thereof, a recording medium having a program to implement thereof
ZA200805337B (en) * 2006-01-09 2009-11-25 Thomson Licensing Method and apparatus for providing reduced resolution update mode for multiview video coding
US8115804B2 (en) * 2006-01-12 2012-02-14 Lg Electronics Inc. Processing multiview video
KR101245251B1 (en) * 2006-03-09 2013-03-19 삼성전자주식회사 Method and apparatus for encoding and decoding multi-view video to provide uniform video quality
US20080089411A1 (en) * 2006-10-16 2008-04-17 Nokia Corporation Multiple-hypothesis cross-layer prediction

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7924804B2 (en) * 2005-08-26 2011-04-12 Panasonic Corporation Scheduling depending on quality of service and channel properties
US7903737B2 (en) * 2005-11-30 2011-03-08 Mitsubishi Electric Research Laboratories, Inc. Method and system for randomly accessing multiview videos with known prediction dependency

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9860555B2 (en) * 2012-05-22 2018-01-02 Lg Electronics Inc. Method and apparatus for processing video signal
WO2017076599A1 (en) * 2015-11-06 2017-05-11 Sony Corporation Communications device, infrastructure equipment, communications system and methods
US20190320395A1 (en) * 2015-11-06 2019-10-17 Sony Corporation Communications device, infrastructure equipment, communications system and methods
US10560903B2 (en) 2015-11-06 2020-02-11 Sony Corporation Communications device, infrastructure equipment, communications system and methods
US20170238331A1 (en) * 2016-02-11 2017-08-17 Microsoft Technology Licensing, Llc Multiplexed Unequal Error Protection for Wireless Networks
US10057910B2 (en) * 2016-02-11 2018-08-21 Microsoft Technology Licensing, Llc Multiplexed unequal error protection for wireless networks

Also Published As

Publication number Publication date
JP5154681B2 (en) 2013-02-27
JP4762936B2 (en) 2011-08-31
JP5154680B2 (en) 2013-02-27
US8451895B2 (en) 2013-05-28
JP5154679B2 (en) 2013-02-27
JP4995330B2 (en) 2012-08-08
JP2007259433A (en) 2007-10-04
JP2012016045A (en) 2012-01-19
JP2012016046A (en) 2012-01-19
US20100322311A1 (en) 2010-12-23
US7903737B2 (en) 2011-03-08
JP2011155683A (en) 2011-08-11
JP2012016044A (en) 2012-01-19
US20070121722A1 (en) 2007-05-31

Similar Documents

Publication Publication Date Title
US20110194452A1 (en) Transmitting Data with Multiple Priorities as OFDM Symbols
US7065051B2 (en) Management and scheduling of data that is wirelessly transmitted between a base transceiver station and subscriber units
US7577118B2 (en) System and method of classifying remote users according to link quality, and scheduling wireless transmission of information to the to the users based upon the classifications
US7529548B2 (en) Method and system for adapting a wireless link to achieve a desired channel quality
US7680199B2 (en) Communications systems
US8588201B2 (en) Method and apparatus for improving RF coverage area in a wireless network
EP2381728B1 (en) Dynamic resource allocation scheduling and signaling for a variable data rate service in LTE
CN1992679B (en) Method and apparatus for scheduling assignment of uplink packet transmission in mobile telecommunication system
RU2444132C2 (en) Base station and signal transmission method
US7545732B2 (en) Apparatus and method for assigning sub-carriers in an orthogonal frequency division multiplex system
US20050259629A1 (en) Adapting uplink/downlink subframe ratio in time division duplex physical frames
JP4885971B2 (en) Base station equipment
KR100967774B1 (en) Method and apparatus for control channel transmission and reception
EP2520120B1 (en) Adaptive scheduling data transmission based on the transmission power and the number of physical resource blocks
KR100500878B1 (en) Method of packet scheduling with power
US8305978B2 (en) Adaptive resource allocation method in a wireless communication system and transceiver for implementing the same
US20070070905A1 (en) Adaptive bin-packing for wireless communications
EP1993251B1 (en) Allocation of signal-to-noise ratio margin in multi-carrier systems
WO2006109435A1 (en) Wireless communication device and wireless communication method
CN101765165A (en) Base station and access control method for cellular wireless communication
JP2008067206A (en) Base station device and radio communication method
JP3396644B2 (en) Base station device, terminal station device, communication system, and communication control method
EP2382730B1 (en) Downlink transmission scheduling in multi-carrier networks
Kambou et al. A novel cross-layer resource allocation scheme for multi-user, multi-service, MIMO-OFDMA systems
Kim Quality of service and channel-aware packet bundling for capacity improvement in cellular networks

Legal Events

Date Code Title Description
AS Assignment

Owner name: MITSUBISHI ELECTRIC RESEARCH LABORATORIES, INC., M

Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNORS:ORLIK, PHILIP V.;YIM, RAYMOND;DUAN, CHUNJIE;AND OTHERS;SIGNING DATES FROM 20110728 TO 20120328;REEL/FRAME:028005/0394

STCB Information on status: application discontinuation

Free format text: ABANDONED -- FAILURE TO RESPOND TO AN OFFICE ACTION