WO2014040655A1 - Estimation et retour de données de fiabilité de csi - Google Patents

Estimation et retour de données de fiabilité de csi Download PDF

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Publication number
WO2014040655A1
WO2014040655A1 PCT/EP2012/068252 EP2012068252W WO2014040655A1 WO 2014040655 A1 WO2014040655 A1 WO 2014040655A1 EP 2012068252 W EP2012068252 W EP 2012068252W WO 2014040655 A1 WO2014040655 A1 WO 2014040655A1
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WO
WIPO (PCT)
Prior art keywords
state information
channel state
reference signal
channel
information reference
Prior art date
Application number
PCT/EP2012/068252
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English (en)
Inventor
Wolfgang Zirwas
Michael Faerber
Hanns Juergen Schwarzbauer
Jacek Gora
Jaakko Eino Ilmari Vihriala
Original Assignee
Nokia Siemens Networks Oy
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 Nokia Siemens Networks Oy filed Critical Nokia Siemens Networks Oy
Priority to PCT/EP2012/068252 priority Critical patent/WO2014040655A1/fr
Priority to EP12761605.0A priority patent/EP2896151A1/fr
Publication of WO2014040655A1 publication Critical patent/WO2014040655A1/fr

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Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L1/00—Arrangements for detecting or preventing errors in the information received
    • H04L1/0001—Systems modifying transmission characteristics according to link quality, e.g. power backoff
    • H04L1/0023—Systems modifying transmission characteristics according to link quality, e.g. power backoff characterised by the signalling
    • H04L1/0026—Transmission of channel quality indication
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L1/00—Arrangements for detecting or preventing errors in the information received
    • H04L1/20—Arrangements for detecting or preventing errors in the information received using signal quality detector

Definitions

  • the present invention relates to an apparatus, method and program for estimation and feedback of channel state information (CSI) reliability information.
  • CSI channel state information
  • the field of invention are mobile radio system concepts like 3GPP (3 rd Generation Partnership Project) LTE (Long Term Evolution), LTE-A (LTE-Advanced) and its evolution and especially future optimizations for CoMP (Cooperative Multipoint Transmission).
  • 3GPP 3 rd Generation Partnership Project
  • LTE Long Term Evolution
  • LTE-A Long Term Evolution-Advanced
  • CoMP Cooperative Multipoint Transmission
  • JT CoMP requires as accurate as possible channel state information (CSI) for proper precoding.
  • CSI channel state information
  • CC channel components
  • UE user equipment
  • the reason for the different accuracy levels between UEs is due to different noise levels or signal to noise ratios (SNR), different UE noise figures, different channel estimation algorithms etc.
  • SNR signal to noise ratios
  • indoor UEs have a high likelihood to experience quite low SNRs due to the outdoor to indoor penetration loss.
  • a further important differentiator is the residual interference floor level for the CSI reference signals, which can be optimized by suitable muting patterns and allocation of CSI RSs (reference signals) to eNBs as well as antenna ports (AP).
  • IPG interpolation gain
  • NMSE normalized mean square error
  • the reason for the per UE variation of the CSI accuracy levels is due to different SINR (Signal to Interference plus Noise Ratio) conditions for strong and weak channel components (lower Rx power for weak CCs) and further on the different behavior of different channel components as such.
  • SINR Signal to Interference plus Noise Ratio
  • PRB physical resource blocks
  • the variability of CCs depends on the UE mobility, which is mainly a differentiator between different UEs. But, in case of different relevant moving objects for different CCs there will be also a varying variance between the CCs of a single UE. In combination with the inevitably needed channel prediction these different variance levels will be turned into different reliability values.
  • the most simple channel prediction assumes no time delay at all and 'predicts' no further channel variation. That is exactly done for the conventional CSI reporting e.g. in form of PMI (pre-coding matrix indicator) values for current LTE systems. In case of more advanced prediction techniques accordingly higher reliabilities will be achieved for the same prediction horizon of e.g. 5 or 10ms. If the prediction is done at UE side it will affect accordingly the reliability of reported CSI values.
  • PMI pre-coding matrix indicator
  • ⁇ is the estimation error for the channel matrix leading to the off diagonal elements due to inter UE interference leakage.
  • a robust precoder will optimize these off diagonal elements so that statistically the best overall performance - for example highest overall spec- tral efficiency - is achieved for the given reliability values for the different CCs.
  • a zero forcing precoder would assume the reported CSI values to be fully correct, resulting under ideal conditions in highest performance, but for realistic channels in typically much larger error terms.
  • RSRQ includes all interference from the whole network while RSRP is the received power for the common reference signals. Both are for wideband measurements. For the purpose of the present invention, they are not usable as CSI RSs needs a frequency selective reliability information. In addition only one aspect - i.e. the noise and overall interference floor - is taken into account, while the overall reliability will include many other aspects, as mentioned above, like prediction quality, to name only one.
  • CSI channel state information
  • a method comprising: estimating, at a user equipment, channel state information based on channel state information reference signals, obtaining processing capabilities of the user equipment at which the channel state information is estimated, calculating reliability information of the channel state information based on the estimated channel state information and the obtained processing capabilities.
  • the channel state information comprises at least one of received signal power, channel state information reference signal interference power, signal to interference plus noise ratio, user equipment noise floor, coherence time, coherence bandwidth and interpolation gain;
  • - estimating the channel state information comprises measuring a received power of a certain channel component based on a specific channel state information reference signal, switching off the specific channel state information reference signal for the certain channel component, measuring inter channel state information reference signal interference power for the specific channel state information reference signal, and calculating a signal to interference plus noise ratio for the specific channel state information reference signal based on the received power and the inter channel state information reference signal interference power; - the reliability information is generated by forming a normalized mean square error value per channel component based on the channel state information.
  • the method further comprises reporting the channel state information to a base station;
  • the method further comprises reporting the reliability information to a base station;
  • the reporting is done over a physical uplink control channel.
  • the channel state information comprises at least one of received signal power, channel state information reference signal interference power, signal to interference plus noise ratio, user equipment noise floor, coherence time, coherence bandwidth and interpolation gain.
  • an apparatus comprising:
  • a receiver/transmitter configured to communicate with at least another apparatus, a memory configured to store computer program code, and a processor configured to cause the apparatus to perform: estimating channel state information based on channel state information reference signals, obtaining processing capabilities of the user equipment at which the channel state information is estimated, calculating reliability information of the channel state information based on the estimated channel state information and the obtained processing capabilities.
  • the channel state information comprises at least one of received signal power, channel state information reference signal interference power, signal to interference plus noise ratio, user equipment noise floor, coherence time, coherence bandwidth and interpolation gain;
  • - estimating the channel state information comprises measuring a received power of a certain channel component based on a specific channel state information reference signal, switching off the specific channel state information reference signal for the certain channel component, measuring inter channel state information reference signal interference power for the specific channel state information reference signal, and calculating a signal to interference plus noise ratio for the specific channel state information reference signal based on the received power and the inter channel state information reference signal interference power;
  • the reliability information is generated by forming a normalized mean square error value per channel component based on the channel state information.
  • the processor is further configured to cause the apparatus to perform reporting the channel state information to a base station;
  • the processor is further configured to cause the apparatus to perform reporting the reliability information to a base station; - the reporting is done over a physical uplink control channel.
  • an apparatus comprising a receiver/transmitter configured to communicate with at least another apparatus, a memory configured to store computer program code, and a processor configured to cause the apparatus to perform: receiving channel state information from a user equipment, calculating reliability information of the channel state information.
  • the channel state information comprises at least one of received signal power, channel state information reference signal interference power, signal to interference plus noise ratio, user equipment noise floor, coherence time, coherence bandwidth and interpolation gain.
  • a computer program product comprising code means adapted to produce steps of any of the methods as described above when loaded into the memory of a computer.
  • a computer program product as defined above, wherein the computer program product comprises a computer- readable medium on which the software code portions are stored.
  • Fig. 1 is a diagram illustrating the outcome of a zero forcing (ZF) precoder for a cooperation area serving 26 user equipments.
  • ZF zero forcing
  • Fig. 2 is a diagram illustrating an allocation of channel state information reference signals to cells of a cooperation area.
  • Fig. 3 is a diagram illustrating some aspects influencing the reliability of channel state in- formation.
  • Fig. 4 is a flowchart illustrating a method according to certain embodiments of the present invention.
  • Fig. 5 is a flowchart illustrating another method according to certain embodiments of the present invention.
  • Fig. 6 is a block diagram showing an example of an apparatus according to certain embodiments of the present invention.
  • the goal of the present invention is to provide reliability information to the eNBs (enhanced NodeB) required for robust precoding.
  • Fig. 3 illustrates an example of some aspects influencing the achievable reliability of a CSI, like SINR, coherence time, coherence bandwidth, interpolation gain (IPG), UE processing capabilities (algorithms), etc.
  • the basis of the reliability estimation is the estimation of the wideband SINR for a given channel component. This might be done in a similar manner as for the RSRQ values, i.e. in a first step the receive power of a certain channel component is being measured and in a second step the CSI RS for this specific channel component is switched off to allow the measurement of the overall interference floor for this CSI RS. This muting of certain channel components should be done sequentially in a harmonized manner to fully capture all relevant interferers on these resources.
  • Fig. 2 illustrates a potential cell specific CSI RS and muting pattern as being developed in the Artist4G project.
  • Fig. 2 illustrated the allocation of CSI RS (different beam types are indicated by solid lines, dotted lines and dashed lines in Fig. 2) to cells of a cooperation area (CA) and muting patterns (hatchings of the circles).
  • Inter CSI RS interfer- ence occurs only for the same muting pattern plus same beam types, as indicated by the bold hatched arrow.
  • Each cooperation area (indicated by black triangles covering 3 sites each) uses a set of mutual orthogonal CSI RSs. These CSI RSs use specific muting patterns so that in each cooperation area only one site is active.
  • the muting patterns are further harmonized between cooperation areas to minimize inter CSI RS interference with the goal to maximize channel estimation quality.
  • interfering cells using at a certain time instant are at least 2 inter site distances (ISD) apart from each other.
  • ISD inter site distances
  • Estimation of the residual inter CSI RS interference requires a specific measurement phase. For that purpose one CA after the other switches off its own CSI RSs to allow the UEs of the other CAs a measurement of the interference power from all other active CSI RSs. This measurement will include inherently the noise figure of the according UEs, which might be higher or below the inter CSI RS interference floor. It will provide the first important parameter for the reliability, i.e. the mean SINR for the CSI RSs (see Fig. 3). To get a statistically meaningful result, preferably, the measurements may be repeated over several times, but as these measurements are seldom, the overhead will be small nonetheless. The measurement phases will be decided and controlled by the network and reported from the eNBs to the UEs.
  • the UEs have to measure all Rx powers from the own CA and to combine it with the appropriate interference floor levels (i.e. the residual mutual inter CSI RS interference), i.e. the UEs have to store internally a set of relevant interference floor and signal powers.
  • the appropriate interference floor levels i.e. the residual mutual inter CSI RS interference
  • the achievable interpolation gain (IPG) of the channel estimation algorithm depends on the UE algorithm, but is also restricted by the coherence bandwidth as well as the coherence time of the radio channels. These values might vary significantly for different channel components.
  • the coherence bandwidth and times have to be estimated from previous observations.
  • the UEs have to combine all the available information like SINR, IPG, time and frequency coherence and potentially further inputs to generate a predefined reliability value. For example all effects might be combined to form artificial normalized mean square error (NMSE) values per channel component.
  • NMSE normalized mean square error
  • a predefined prediction time e.g. for 5 or 10ms
  • a ANMSE might be reported or alternatively the time up to which the NMSE has been degraded by less than x dB, which may be a predetermined value.
  • the eNBs will be able to detect frequency notches and estimate the according coherence time per PRB by themselves. Otherwise, for a pure implicit reporting scheme, the UEs have to provide this important information as well, i.e. instead of a wideband reliability a PRB individual reliability has to be reported.
  • all means to estimate the reliability infor- mation for all channel components are provided, based on CSI RS measurements and taking UE processing capabilities into account. Further, the per PRB reliability is calculated, which is, for example, very low in frequency notches. Further, a common reliability measure is defined as well as an according scheme for reporting of the reliability information, which defines for example, how often, for what bandwidth, for which CCs, in which order, etc. the information is reported.
  • the UEs could report the estimations of relevant parameters like SINR, coherence time, coherence bandwidth etc. directly over the physical uplink control channel (PUCCH).
  • the eNBs are then able to do the calculation of the reliability information per CC and per PRB according to their needs.
  • part of the reliability information might be estimated at eNB side and part of it might be provided from the UEs.
  • an eNB having received the CSI for a frequency selective radio channel might combine the reported wideband reliability value with that derived from the relative power (e.g. for notches low prediction reliability can be assumed).
  • the time dependent reliability for different prediction horizons can be estimated directly at the eNB, given that the UE has reported the general behavior of its channel predictor.
  • One natural candidate for reporting of reliability information is under the assumption of a Gaussian distribution the NMSE or similarly the variance ⁇ of a channel component on a certain PRB.
  • PDF power density function
  • PDF PDF
  • the other option - as already mentioned - is to report the variance levels from SINRs etc. while potential non Gaussian effects like the evolution of low power notches might be estimated directly at the eNB.
  • the optimum way to calculate the reliability depends on Bayesian rules of logic and the maximum entropy principle on the cause of the unreliability. For additive white Gaussian noise or an interference floor it is a Gaussian distribution so that the mean value and the variance would have to be estimated and reported. Prediction errors for example behave differently and will probably need a different handling depending on the used algorithms for prediction.
  • Fig. 4 is a flowchart illustrating processing of the apparatus according to certain embodiments of the present invention. In the present example, the steps as shown in Fig. 4 are executed by a user equipment.
  • the apparatus i.e. the user equipment, estimates channel state information based on channel state information reference signals.
  • the user equipment obtains processing capabilities of the user equipment at which the channel state information is estimated, and calculates, in a step S43, reliability information of the channel state information based on the estimated channel state information and the obtained processing capabilities.
  • the channel state information comprises at least one of received signal power, channel state information reference signal interference power, signal to interference plus noise ratio, user equipment noise floor, coherence time, coherence bandwidth and interpolation gain.
  • the user equipment when estimating the channel state information, measures a received power of a certain channel component based on a specific channel state information reference signal, switches off the specific channel state information reference sig- nal for the certain channel component, measures inter channel state information reference signal interference power for the specific channel state information reference signal, and calculates a signal to interference plus noise ratio for the specific channel state information reference signal based on the received power and the inter channel state information reference signal interference power.
  • the reliability information may be generated by forming a normalized mean square error value per channel component based on the channel state information.
  • the user equipment may further report the channel state information to a base station, or may report the reliability information to a base station. The reporting may be done over a physical uplink control channel.
  • Fig. 5 is a flowchart illustrating another processing of an apparatus according to certain embodiments of the present invention.
  • the steps as shown in Fig. 5 are executed by a base station, like e.g. an eNodeB.
  • the apparatus i.e. the base station receives channel state information from a user equipment in a step S51 , and then, in a step S52, calculates reliability information of the channel state information.
  • Fig. 6 is a block diagram showing an example of an apparatus according to certain embodiments of the present invention.
  • the apparatus may be a user equipment or a base station.
  • the apparatus 60 i.e. the user equipment or the base station, comprises a receiver/transmitter 61 , a memory 62 and a processor 63.
  • the receiver/transmitter 61 configured to communicate with at least another apparatus in the network and to transmit and receive signals
  • the memory 62 is configured to store computer program code.
  • the apparatus is a user equipment and the processor 63 is configured to cause the apparatus to perform estimating channel state information based on channel state information reference signals, obtaining processing capabilities of the user equipment at which the channel state information is estimated, calculating reliability information of the channel state information based on the estimated channel state information and the obtained processing capabilities.
  • the apparatus is a base station and the processor 63 is configured to perform receiving channel state information from a user equipment, and calculating reliability information of the channel state information.
  • the apparatus i.e. the user equipment or the base station
  • the units that are relevant for understanding the principles of the invention have been described using functional blocks.
  • the apparatus may comprise further units that are necessary for its respective operation. However, a description of these units is omitted in this specification.
  • the arrangement of the functional blocks of the apparatus is not construed to limit the invention, and the functions may be performed by one block or further split into sub-blocks.
  • the apparatus i.e. the user equipment or the base station (or some other means) is configured to perform some function
  • this is to be construed to be equivalent to a description stating that a (i.e. at least one) processor or corresponding circuitry, potentially in cooperation with computer program code stored in the memory of the respective apparatus, is configured to cause the apparatus to perform at least the thus mentioned function.
  • a (i.e. at least one) processor or corresponding circuitry potentially in cooperation with computer program code stored in the memory of the respective apparatus, is configured to cause the apparatus to perform at least the thus mentioned function.
  • such function is to be construed to be equivalent ⁇ implementable by specifically configured circuitry or means for performing the re- spective function (i.e. the expression "unit configured to” is construed to be equivalent to an expression such as "means for").
  • any method step is suitable to be implemented as software or by hardware without changing the idea of the embodiments and its modification in terms of the functionality implemented;
  • CMOS Complementary MOS
  • BiMOS Bipolar MOS
  • BiCMOS Bipolar CMOS
  • ECL emitter Coupled Logic
  • TTL Transistor-Transistor Logic
  • ASIC Application Specific IC
  • FPGA Field- programmable Gate Arrays
  • CPLD Complex Programmable Logic Device
  • DSP Digital Signal Processor
  • - devices, units or means can be implemented as individual devices, units or means, but this does not exclude that they are implemented in a distributed fashion throughout the system, as long as the functionality of the device, unit or means is preserved;
  • an apparatus may be represented by a semiconductor chip, a chipset, or a (hardware) module comprising such chip or chipset; this, however, does not exclude the possibility that a functionality of an apparatus or module, instead of being hardware implemented, be implemented as software in a (software) module such as a computer program or a computer program product comprising executable software code portions for execution/being run on a processor;
  • a device may be regarded as an apparatus or as an assembly of more than one apparatus, whether functionally in cooperation with each other or functionally independently of each other but in a same device housing, for example.
  • respective functional blocks or elements according to above-described aspects can be implemented by any known means, either in hardware and/or software, respectively, if it is only adapted to perform the described functions of the respective parts.
  • the mentioned method steps can be realized in individual functional blocks or by individual devices, or one or more of the method steps can be realized in a single functional block or by a single device.
  • any method step is suitable to be implemented as software or by hardware without changing the idea of the present invention.
  • Devices and means can be implemented as individual devices, but this does not exclude that they are implemented in a distributed fashion throughout the system, as long as the functionality of the device is preserved. Such and similar principles are to be considered as known to a skilled person.
  • Software in the sense of the present description comprises software code as such comprising code means or portions or a computer program or a computer program product for performing the respective functions, as well as software (or a computer program or a computer program product) embodied on a tangible medium such as a computer-readable (storage) medium having stored thereon a respective data structure or code means/portions or embodied in a signal or in a chip, potentially during processing thereof.

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  • Engineering & Computer Science (AREA)
  • Quality & Reliability (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Mobile Radio Communication Systems (AREA)

Abstract

La présente invention se rapporte à un procédé, à un appareil et à un produit programme d'ordinateur, adaptés pour estimer et retourner des données de fiabilité relatives à des données d'état de canal (CSI). Le procédé selon l'invention consiste : à estimer des données d'état de canal sur la base de signaux de référence de données d'état de canal ; à obtenir des capacités de traitement de l'équipement d'utilisateur au niveau duquel les données d'état de canal sont estimées ; et à calculer des données de fiabilité des données d'état de canal sur la base des données d'état de canal qui ont été estimées et des capacités de traitement qui ont été obtenues.
PCT/EP2012/068252 2012-09-17 2012-09-17 Estimation et retour de données de fiabilité de csi WO2014040655A1 (fr)

Priority Applications (2)

Application Number Priority Date Filing Date Title
PCT/EP2012/068252 WO2014040655A1 (fr) 2012-09-17 2012-09-17 Estimation et retour de données de fiabilité de csi
EP12761605.0A EP2896151A1 (fr) 2012-09-17 2012-09-17 Estimation et retour de données de fiabilité de csi

Applications Claiming Priority (1)

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PCT/EP2012/068252 WO2014040655A1 (fr) 2012-09-17 2012-09-17 Estimation et retour de données de fiabilité de csi

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Cited By (3)

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WO2016064318A1 (fr) * 2014-10-24 2016-04-28 Telefonaktiebolaget L M Ericsson (Publ) Traitement de réseau en fonction de précision csi
WO2019138156A1 (fr) * 2018-01-12 2019-07-18 Nokia Technologies Oy Réponse profilée à impulsion de canal servant à une estimation précise de paramètres de trajets multiples
CN114424623A (zh) * 2019-09-19 2022-04-29 上海诺基亚贝尔股份有限公司 基于机器学习的信道估计

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EP1499056A1 (fr) * 2003-07-16 2005-01-19 Lucent Technologies Inc. Procédé et dispositif de transmission de signaux dans un système de communication mobile à antennes multiples avec compensation des variations du canal de transmission
US20070002982A1 (en) * 2005-06-30 2007-01-04 Heikkila Markku J Receiver and method of processing received data
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WO2016064318A1 (fr) * 2014-10-24 2016-04-28 Telefonaktiebolaget L M Ericsson (Publ) Traitement de réseau en fonction de précision csi
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WO2019138156A1 (fr) * 2018-01-12 2019-07-18 Nokia Technologies Oy Réponse profilée à impulsion de canal servant à une estimation précise de paramètres de trajets multiples
CN114424623A (zh) * 2019-09-19 2022-04-29 上海诺基亚贝尔股份有限公司 基于机器学习的信道估计

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