|Publication number||USRE43543 E1|
|Application number||US 12/218,972|
|Publication date||Jul 24, 2012|
|Filing date||Jun 14, 2001|
|Priority date||Jun 19, 2000|
|Also published as||EP1304008A1, US7079814, US20040072556, WO2001099447A1|
|Publication number||12218972, 218972, PCT/2001/562, PCT/FI/1/000562, PCT/FI/1/00562, PCT/FI/2001/000562, PCT/FI/2001/00562, PCT/FI1/000562, PCT/FI1/00562, PCT/FI1000562, PCT/FI100562, PCT/FI2001/000562, PCT/FI2001/00562, PCT/FI2001000562, PCT/FI200100562, US RE43543 E1, US RE43543E1, US-E1-RE43543, USRE43543 E1, USRE43543E1|
|Inventors||Tapio Frantti, Petri Mähönen|
|Original Assignee||Intellectual Ventures Holding 9 Llc|
|Export Citation||BiBTeX, EndNote, RefMan|
|Patent Citations (37), Non-Patent Citations (13), Referenced by (1), Classifications (28), Legal Events (4)|
|External Links: USPTO, USPTO Assignment, Espacenet|
The present application is a reissue of U.S. patent application Ser. No. 10/311,234 (now U.S. Pat. No. 7,079,814), filed Apr. 23, 2003, which is a national stage filing of International Pat. App. No. PCT/FI01/00562, filed Jun. 14, 2001, which claims the benefit of Finnish Pat. App. No. 20001453, filed Jun. 19, 2000.
The invention relates to a solution for detecting movement of a mobile transceiver in a radio system.
In radio systems, such as the GSM (Global System for Mobile Communication), CDMA (Code Division Multiple Access), WCDMA (Wide Band CDMA), CDMA 2000, PDC (Personal Digital Cellular) and the like, the movement of a mobile terminal is not usually measured in any way but the operations of the whole radio system are designed so that the data transmission connection works in all conditions. In that case operations are performed as if the terminal moved all the time at a very high rate on the border of the coverage area of two or more base stations in a city during daytime. Consequently, the loading of base stations and the interference level are high and channel changes as great as possible. This wastes resources and power, and increases the interference level because several measuring and signalling operations are performed all too often with respect to what the real movement of the terminal requires.
The object of the invention is to improve estimation of movement and adjust the operations of a radio system to the movement. This is achieved with a method of detecting movement of a mobile transceiver in a radio system, which comprises at least one base station and terminals. The method further comprises measuring the movement of the mobile transceiver by at least one acceleration sensor to take the movement of the mobile transceiver into account in the operation of the radio system.
The invention also relates to a mobile transceiver in a radio system, which comprises at least one base station and terminals. The mobile transceiver is further arranged to measure its movement with at least one acceleration sensor to take the movement of the mobile transceiver into account in the operation of the radio system.
The method and system of the invention provide several advantages. The power consumption of the mobile transceiver can be reduced, the radio network capacity increased and the quality of data transmission improved.
The invention will now be described in greater detail by means of preferred embodiments with reference to the accompanying drawings, in which
The solution of the invention is applicable to a mobile transceiver of a radio system, in particular.
First the radio system will be described by means of
When a signal is transmitted, it arrives in the signal processing block 108, where the signal to be transmitted can be filtered, encoded or modulated, for example, and propagates further to a digital-analogue converter 110, which converts the digital signal into an analogue one. The analogue signal is converted into a radio frequency signal in a mixer included in the radio frequency block 112. The radio frequency signal propagates to the duplex filter 102, which further guides the radio frequency signal to the antenna 100, which emits the signal into its environment as electromagnetic radiation.
The signal processing block 108 measures the impulse response in a manner known per se, for instance. In the present solution the measurement frequency of impulse response depends on the movement of the transceiver. The movement is measured by at least one acceleration sensor 114 to 116. The acceleration sensor is usually an electromechanic converter, which produces an electric signal corresponding to the acceleration at its output pole. The operation of the acceleration sensor is based e.g. on a piezoelectric crystal, where the change of charge distribution is comparable to the force directed at the crystal. Acceleration sensors are described in greater detail in Understanding Smart Sensors, Frank Randy, Artech House Inc., 1996 (ISBN 0-89006-824-0), which is incorporated herein by reference.
The movement can be measured in more than one dimension by using several acceleration sensors, which can be integrated into the same sensor. By using at least three acceleration sensors which are in the directions of different dimensions the terminal state can be measured three-dimensionally. The acceleration signal measured by the acceleration sensors 114 to 116 is fed into the digital signal processing block 108, where the measurement frequency of impulse response, for example, is controlled according to the acceleration information and/or the velocity calculated from the acceleration information. The higher the measured acceleration or the velocity is, the more frequently the impulse response is measured. The lower the measured acceleration or the velocity, the less frequently the impulse response is measured.
In addition to the acceleration or instead of it, the terminal velocity can be measured by integrating the acceleration. Mathematically expressed, the velocity v is obtained as an integral of acceleration a as follows:
where t0 is the starting time of measurement and t1 is the ending time of measurement, i.e. the time interval t1 to t0 is the measuring time window. The velocity v measurement can be expressed in discrete form as follows:
where M is the number of measuring moments in the measuring time window, ai is the acceleration at each measuring time and Δti is the time between two measuring moments. In the solution described the measurement frequency of impulse response increases as the terminal velocity increases. Correspondingly, the measurement frequency of impulse response decreases as the terminal velocity decreases.
Since the mobile transceiver does not move all the time at a very high velocity on the boarder of the coverage area of highly loaded base stations, the power consumption of the mobile transceiver can be reduced considerably by decreasing the measurement frequency of impulse response. The power consumption can at most be reduced to less than 1/3000 of the power consumption in a situation where the mobile transceiver does not take its movement into account. In a subscriber terminal, the reduced power consumption means longer charging intervals of the battery both in the standby mode and in the talk mode. When the movement of the mobile transceiver requires the highest possible measurement frequency of impulse response, the measurement frequency can be e.g. 100 Hz. On the other hand, when the transceiver is at least nearly immobile, the impulse response can be measured at a frequency of 1 Hz, for example. According to the example described, the impulse response measurement frequency can thus be reduced 100-fold. The measurement frequencies given only exemplify the operation and give an idea of the influence of the present solution on the measurement frequency of impulse response. The solution described is limited neither to the above-mentioned measurement frequencies nor to the ratios of the measurement frequencies given. At its simplest the impulse response can be measured at two frequencies. In that case a low measurement frequency is used when the mobile transceiver is immobile or moves slowly (at the human walking pace, less than 10 km/h). Otherwise a high measurement frequency is used. It is not the measurement frequencies that are important but the fact that the low impulse response measurement frequency should be lower than the high impulse response measurement frequency.
The information on the impulse response is used e.g. in the following manner. The base station or base stations with which the terminal communicates over a data transmission connection are searched for by means of the impulse response measurement. The search is carried out by measuring the impulse response from one or more base stations and selecting at least one base station with the highest signal interference ratio SNR or the highest, signal noise ratio SNR. The impulse response measurement is used for updating the list of neighbouring base stations for a possible handover. The impulse response measurement is also employed for timing synchronization between the terminals and the base stations. In addition, the starting transmission power of the terminal is determined at the beginning of connection establishment by means of the impulse response measurement.
When the velocity of the mobile transceiver is measured by integrating acceleration, the velocity estimate formed can be used for controlling the transmission power of the mobile transceiver. In that case the step size of power control, for example, can be optimised. The step size of power control is the smallest change in power that can be made. This is explained in greater detail in T. Frantti, Fuzzy Power Control for Mobile Radio Systems, European Symposium on Applications of Intelligent Technologies, Aachen, Germany, 1997 and in A. J. Viterbi, CDMA—Principles of Spread Spectrum Communications, Addison Wesley, 1995, which are incorporated herein by reference. By means of velocity the threshold for power control can also be changed so that as the velocity exceeds a predetermined velocity threshold, the power is controlled differently than when the velocity is below the predetermined limit. One or more such thresholds may be used. Instead of velocity thresholds, the power control can also be changed slidingly, i.e. constantly according to the velocity. Furthermore, the velocity can be used for determining the measurement accuracy of impulse response, i.e. for optimizing the length of the FIR filter (Finite Impulse Response).
The FIR filter will now be described in greater detail by means of
where h(k) is the tap coefficient of impulse response, k is an index from 0 M to 1, M is the number of taps, t is the time and x(t) is the signal value at the moment t, y(t) is the signal estimate of the received signal.
When the channel distortion is not very great, accurate information on impulse response is not needed. In that case it is not necessary to measure or define all M taps of the FIR filter but it is sufficient that P taps, where P is smaller than M, i.e. P<M, are used for defining the signal estimate. Undefined taps receive the value 0.
When the velocity of the mobile transceiver is measured, reliable information can also be formed from the influence of the Doppler phenomenon on the frequency shift of the signal received. The frequency shift Δfi caused by the Doppler phenomenon to the component i of one signal is expressed mathematically as follows:
where i is the index of the signal component, λ is the signal wave length, v is the transceiver velocity and αi is the angle between the direction of movement of the transceiver and the direction of the arriving signal. The frequency shift Δf of the received signal also changes the duration of the received symbol, which should be taken into account in data transmission. In transmission the symbol duration can be either increased or reduced according to the influence of the Doppler phenomenon.
The received signal should be sampled (block 106 in
When all K signal components are gone through, i being 1 to K (i=1, . . . , K), where K is the desired number of signal components, it is possible to form the power density spectrum of Doppler spread. If we assume that different signal components have scattered isotropically and arrive at the receiver spread equally in all directions between [0°, 360°], we obtain a U-shaped power density curve. The bandwidth fD of Doppler spread can be estimated from the power density spectrum or directly from the greatest frequency shift. The inverse of the bandwidth provides delay spread TC, TC=1/(2·fd), where the band width fD is fD=(v/c)·fC and fC is the frequency of the carrier wave. Coherence time, i.e. the time when channel changes are small and the symbol transmitted on the channel contains hardly any channel interference, can be determined from the delay spread or directly from the bandwidth of Doppler spread. Doppler spread is Doppler_spread=2·(v/c)·fC=βd. The coherence time TC=1/βd. If the symbol duration is shorter than the coherence time, the channel is a slowly fading channel. If the symbol duration is longer than the coherence time, the channel is a fast fading channel. When it is detected that the coherence time TC changes due to the Doppler phenomenon, source coding, channel coding, power control or data transmission rate can be changed in the solution shown so that the influence of the Doppler phenomenon is reduced or eliminated. The ratio of the coherence time to the symbol duration defines the channel as a slow fading or a fast fading channel.
Context identification related to each movement can also be carried out even by one acceleration sensor, but preferably by several acceleration sensors. This is illustrated in
Acceleration sensors can be integrated into terminal circuits or frame and the acceleration information can be processed by the processor in the terminal or by a separate processor in the signal processing block (
Even though the invention was described above with reference to the example according to the accompanying drawings, it is clear that the invention is not limited thereto but may be modified in various ways within the inventive concept disclosed in the appended claims.
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|1||Andrew J. Viterbi, "CDMA, Principles of Spread Spectrum Communication," Addison Wesley, 1995.|
|2||Communication from the European Patent Office for EP Application 01 945 364.6, dated Jan. 13, 2011.|
|3||Esa Tuulari, Context Aware Hand-Held Devices, Technical Research Centre of Finland, 2000.|
|4||Frank, Randy, "Understanding Smart Sensors," 1996, Artech House.|
|5||Frantti, Tapio , "Fuzzy Power Control for Mobile Radio Systems," European Symposium on Applications of Intelligent Technologies, Aachen, Germany, 1997, pp. 1-6.|
|6||International Preliminary Examination Report on PCT/FI01/00562, completed Sep. 27, 2002.|
|7||International Search Report on PCT/FI01/00562, mailed Sep. 26, 2001.|
|8||Japanese Patent Office, English Translation of Office Action mailed Dec. 13, 2010 for Japanese Pat. App. No. 2002-504165.|
|9||Japanese Patent Office, Office Action mailed Jul. 19, 2010 for Japanese Pat. App. No. 2002-504165.|
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|U.S. Classification||455/67.11, 342/357.31, 455/422.1, 375/269, 375/272, 455/69, 455/67.13, 455/441, 375/219, 455/423, 342/357.35, 342/357.2, 455/63.1, 455/67.16, 342/357.78|
|International Classification||H04W52/00, G01P7/00, H04B7/26, G01S19/48, H04B17/00, G01S11/10|
|Cooperative Classification||Y02B60/50, H04W52/0254, G01S11/10, G01P7/00, H04W52/282|
|European Classification||G01S11/10, G01P7/00|
|Mar 5, 2010||AS||Assignment|
Owner name: INTELLECTUAL VENTURES HOLDING 9 LLC, NEVADA
Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNOR:VALTION TEKNILLINEN TUTKIMUSKESKUS;REEL/FRAME:024036/0090
Effective date: 20071010
|May 14, 2013||CC||Certificate of correction|
|Dec 30, 2013||FPAY||Fee payment|
Year of fee payment: 8
|Sep 9, 2015||AS||Assignment|
Owner name: XYLON LLC, NEVADA
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