KIM BONG HOE (KR)
ROH DONG WOOK (KR)
AHN JOON KUI (KR)
SEO DONG YOUN (KR)
KIM HAK SEONG (KR)
KIM BONG HOE (KR)
ROH DONG WOOK (KR)
AHN JOON KUI (KR)
SEO DONG YOUN (KR)
WO2001058105A1 | 2001-08-09 |
EP1376896A1 | 2004-01-02 | |||
US6389295B1 | 2002-05-14 |
WHAT IS CLAIMED IS :
1. A method for receiving signals in a multi-carrier multiple access system
comprising:
receiving signals from at least one base station wherein each signal has a base
station identifier;
processing the signals to identify each base station by using the base station
identifier;
performing a channel estimation using the processed signals;
combining the processed signals using an information obtained from the
channel estimation; and
decoding the combined signals.
2. The method of claim 1, wherein the step of combining includes a
Maximal Ratio Combining (MRC) methoώ
3. The method of claim 1, wherein the base station identifier comprises a
spreading code or a scrambling code.
4. The method of claim 3, wherein the spreading code includes one of
Pseudo Noise (PN) code, Orthogonal Variable Spreading Factor (OVSF) code, Walsh
code and Gold code.
5. The method of claim 4, wherein the spreading code includes a
frequency-time code.
6. The method of claim 5, wherein the spreading code has a spreading
factor (SF)
7. The method of claim 6, wherein the spreading factor comprises one of a
fixed spreading factor and a variable spreading factor.
8. The method of claim 6, wherein the SF = SF t i me * SFfi eq where SF is
total spreading factor, SF t i me is a spreading factor in time domain and SFfteq is a
spreading factor in frequency domain.
9. The method of claim H-; wherein the multi-carrier multiple access
system includes an Orthogonal Frequency Division Multiple Access (OFDMA) system.
10. The method of claim 1, wherein a maximum delay among signals from
base stations for a transmitting signal is within a guard interval.
11. The method of claim 1, wherein the step of processing includes
despreading, descrambling or deorthogonalizing the signals. _
12. An apparatus for receiving signals in a multi-carrier multiple access
system comprising:
a serial-to-parallel converter for converting a serial signal including a base
station identifier from at least one base station to parallel signals;
a Fast Fourier transformer for transforming the parallel signals;
a parallel-to-serial converter for converting the parallel signals to a serial
signal;
a despreading processor for despreading frequency domain signals using the
base station identifier from at least one base station;
a channel estimator for compensating a channel variation between the at least
one base station and a mobile station;
a signal combiner for combining signals; and
a decoder for decoding the combined signal.
13. The apparatus of claim 12, wherein the signal combiner combines
signals using Maximal Ratio Combining (MRC) method.
14. The apparatus of claim 12, wherein the multi-carrier multiple access
system includes an Orthogonal Frequency Division Multiple Access (OFDMA).
15. The apparatus of claim 12, wherein the channel estimator includes one
of a minimum mean squared (MMSE) estimator, a Constrained Least Squares
estimator or a Maximum Likelihood (ML) estimator. |
_
AN APPARAUS AND METHOD FOR RECEIVING SIGNALS
IN MULTI-CARRIER MULTIPLE ACCESS SYSTEMS
Field of the Invention
The present invention relates to an apparatus and method for receiving signals
in multi-carrier multiple access systems, and more particularly, to an apparatus and
method for estimating wireless channels between a mobile station and base stations
during handover (or handoff) and combining signals using the estimations.
Discussion of the Related Art
hi multi-carrier multiple access cellular mobile communications systems, a
mobile station in downlink handover gets a macro diversity gain. In other words, the
mobile station in handover receives the same data from two or more nearby base
stations in the form of a combined signal through different communication channels.
There are two methods of getting the macro diversity gain, namely, Equal Gain
Combining (EGC) and Maximal Ratio Combining (MRC). The EGC method does not
compensate amplitude distortions, but only compensates phase distortions. Since the
amplitude gain is always 1, the channel estimation is performed by using only phase
distortion compensation. However, the MRC method has better performance than the
EGC method in most channel environments because the MRC method performs a
channel estimation by compensating both amplitude and phase distortions. In general,
if maintained synchronization between cells transmitting the same data during
handover, it is possible to effectively decode receiving signals using the EGC method
without additional signal processing. In that case, formats of the receiving signals such
as transmission type, pattern, location, etc. should be the same to get the macro
diversity gain. Even though the MRC method is a preferable method to increase the
combined gain, current multi-carrier multiple access systems have a problem for
increasing the macroscopic diversity gain using the MRC method because current
multi-carrier multiple access systems are difficult to perform channel estimations by
each communication link between each base station and the mobile station when the
same frequency band(s) or sub-carrier(s) in neighboring cells as those of a current
serving cell are assigned at the same time interval.
Therefore, it is highly desired to develop a technology which provides base
station differentiating codes to compensate channel distortions and to maximize macro
diversity gain.
SUMMARY OF THE INVENTION
"Accordingly, the present invention is directed to an apparatus and method form
receiving signals in multi-carrier multiple access systems that substantially obviate one
or more problems due to limitations and disadvantages of the related art.
An object of the present invention is to provide an apparatus and
method for a mobile station during handover to effectively combine and decode signals.
Another object of the present invention is to provide base station differentiating
codes to compensate channel distortions and to maximize macro diversity gain.
Additional advantages, objects, and features of the invention will be set forth in
part in the description which follows and in part will become apparent to those having
ordinary skill in the art upon examination of the following or may be learned from
practice of the invention. The objectives and other advantages of the invention may be
realized and attained by the structure particularly pointed out in the written description
and claims hereof as well as the appended drawings.
To achieve these objects and other advantages and in accordance with the
purpose of the invention, as embodied and broadly described herein, a method for
receiving signals in a multi-carrier multiple access system comprising receiving signals
from at least one base station wherein each signal has a base station identifier,
processing the signals to identify each base station by using the base station identifier,
performing a channel estimation using the processed signals, combining the processed
signals using an information obtained from the channel estimation and decoding the
combined signals.
hi another aspect of the present invention, an apparatus for
receiving signals in a multi-carrier multiple access system comprises a serial-to-
parallel converter for converting a serial signal including a base station identifier from
at least one base station to parallel signals, a Fast Fourier transformer for transforming
the parallel signals, a parallel-to-serial converter for converting the parallel signals to a
serial signal, a despreading processor for despreading frequency domain signals using
the base station identifier from at least one base station, a channel estimator for
compensating a channel variation between the at least one base station and a mobile
station, a signal combiner for combining signals from base stations and a decoder for
decoding the combined signal.
It is to be understood that both the foregoing general description and the
following detailed description of the present invention are exemplary and explanatory
and are intended to provide further explanation of the invention as claimed.
BRIEF DESCRIPTION OF THE DRAWINGS
The accompanying drawings, which are included to provide a further
understanding of the invention and are incorporated in and constitute a part of this
application, illustrate embodiment(s) of the invention and together with the description
serve to explain the principle of the invention. In the drawings;
FIG. 1 illustrates a method of receiving data in a mobile station during
handover;
FIG. 2 illustrates another method of receiving data in a mobile station during
handover;
FIG. 3 illustrates a code generation method to distinguish base stations during
handover; and
FIG. 4 illustrates a block diagram showing a receiver according to the present
invention.
DETAILED DESCRIPTION OF THE INVENTION
Reference will now be made in detail to the preferred embodiments of the
present invention, examples of which are illustrated in the accompanying drawings.
Wherever possible, the same reference numbers will be used throughout the
drawings to refer to the same or like parts.
An explanation is given, as an example, for the Orthogonal Frequency Division
Multiple Access (OFDMA) which is one of multi-carrier multiple access systems. The
OFDMA is a system in which a plurality of users performs multiple accesses using
OFDM.
FIG. 1 shows a method of receiving data in a mobile station during handover.
The mobile station during handover receives data from K number of base
stations in the same frame format. That is, the data received by the mobile station have
the same frame format since the data received in the mixed form are not
distinguishable by each base station.
Moreover, because channel estimations can not be done by each
base station, the received data are decoded using the EGC method. To obtain the macro
diversity gain using the EGC method, all base stations should be synchronized, thereby
the time- delays from each base station are within the guard interval. Otherwise, the
length of the guard interval should be extended. The guard interval can be generated by
repeating a part of the data to prevent an aliasing effect.
As shown in FIG. 1, however, it is likely that some, if not all, of base stations
are not synchronized. Also, since additional elements are required to maintain the
synchronization, it is desired to have a technology which could get the macro diversity
gain when not all base station is synchronized.
FIG. 2 shows another method of receiving data in a mobile station during
handover. In this figure, each data from each base station has a code to distinguish base
stations. In other words, each data has an orthogonal code or pseudo-orthogonal code
to distinguish each base station during soft handover in multi-carrier multiple access
wireless mobile communications systems. The orthogonal code includes Pseudo Noise
(PN) code, Orthogonal Variable Spreading Factor (OVSF) code and Walsh code. The
pseudo-orthogonal code includes Gold code. Especially, the OVSF code has better
performance when base stations are synchronized. Also, the codes have a fixed
Spreading Factor (SF) which can be easily implemented though a variable SF is also
possible to use.
FIG. 3 shows a code generation method to distinguish base stations during
handover. After determining a code and a SF to distinguish base stations, the
transmitted symbol is repeated by the SF until matched with the length of spreading
code. A frequency-time spreading code is assigned to each base station, hi the
frequency-time spreading codes, the unit of frequency domain is a subcarrier and the
unit of time domain is =a symbol duration.
The mobile station during handover receives data from K number of base
stations in the same frame format. That is, the data received by the mobile station have
the same frame format since the data received in the mixed form are not
distinguishable by each base station.
FIG. 3 shows when the SF is 8. In this case, the symbol is repeated 4 times in
the time domain and 2 times in frequency domain. The frequency-time spreading code
(C = {CI, ...,C8} ) is multiplied before sending to the mobile station.
The frequency-time SF can be expressed as:
SF = SFtime * SFfi-eq (Equation 1)
where SF is total spreading factor, SF t i me is a spreading factor in time domain
and SF f ieq is a spreading factor in frequency domain.. When SF t i me = 1, data is spread
only over the frequency domain whereas when SF f r eq = 1, data is spread only over the
time domain. In general, if SFtime >1 and SFfreq >1, data is spread over both the time
and frequency domains. Therefore, the SF can be a two dimensional factor.
FIG. 3 is an example of Equation 1 when SF t i me - 2 and SF f i eq = 4. To generate
a frequency-time code of SF = 8, a various combination of SF t i me and SF f r eq can be
achieved. When the SF is set, SF t i me and SF f r eq can be varied according to the channel
condition.
If the data received at the mobile station can be distinguished by each base
station, the received data does not need to have the same frame format/structure,
transmission type, pattern, location, etc. hi other words, though all the base stations do
not have the same frame fβrmat, the mobile station can separate the data by each base
station.
Moreover, the mobile station performs channel estimations according to the
received data and decodes the data using the receiver employing the MRC method.
That is, the mobile station performs the channel estimations using a pilot signal from
each base station, compensates channel distortions by each channel link from each
base station to the mobile station and combines the received data using the MRC
method. Therefore, higher macro diversity gain is achieved when compared to non-
combining methods such as the EGC method.
According to the present invention, though it is not necessary to exactly
synchronize the data from base stations, it is recommended that a maximum delay
among data from base stations to the mobile station is within a guard interval. In other
words,, if the maximum delay is larger than the guard interval, it is highly likely that
OFDM symbols after performing FFT are severely destroyed.
FIG. 4 shows a receiver (400) during a handover which combines data from K
base stations and decodes the data. The mobile station during handover receives data
from K base stations.
The data from each base station can be expressed as:
r i - u i ^i u i e (Equation 2)
where r,- is the received signal from ith base station, di is the transmitted data of
ith base station, si is a base station differentiating code assigned to the base station and
the channel coefficient!! ! = a ^ ' e ' has the ith channel gain (or amplitude) α j and
the ith channel phase shift θ i between ith base station and the mobile station. The
length of si is determined by the SF and the code si is designed to simultaneously
spread in the time domain and frequency domain according to the SF. Normally, 1-
dimensional spreading such as the time-domain spreading or the frequency-domain
spreading is preferred. However, 2-dimensional spreading such as the time-domain
and frequency-domain spreading is also possible. The main purpose of si is to
differentiate base stations.
The received signal r with some delays can be expressed as:
K i=i (Equation 3)
The S/P converter (41) converts the received signal r to parallel signals every N
sample, thereafter the parallel signals are Fourier transformed to signals on a frequency
axis by FFT (42). Moreover, the FFT converted signals are again converted to serial
signals by the P/S converter (43).
The serial signal from the P/S converter (43) can be expressed as:
K
R = ^H 1 S 1 D 1 (Equation 4)
Z=I where D t , Si and H 2 - are Fourier transforms of dj, s t and hi, respectively.
The despreading processor (44) identifies a signal from each base station using
the base station identifiers. After the dispreading processor (44), the signal can be
expressed as;
R 1 = H 1 (S 1 1 S 1 ) D 1 = H 1 D 1 , v (S 1 * S 1 ) = 1 (Equation 5)
where i (= 1,..-.JKJAs the index of base stations. The above equation is
simplified for illustration purpose only and usually more complex.
The channel estimator (45) performs channel estimations by using the
differentiated signals. The channel estimator can be any type including a Minimum
Mean Square Error (MMSE) estimator, a Constrained Least Squares (CLS) estimator
or a Maximum Likelihood (ML) estimator. The channel estimator (45) calculates the
conjugates of the channel coefficients, that is, Hi * which can be obtained for all K base
stations or a specific base station. The channel estimator (45) also provides all the
necessary values (e.g., amplitude, phase, etc.) to perform the MRC method.
The signal combiner (46) performs the MRC method using the estimated
channel information, thereby compensating amplitude distortion in addition to the
phase distortion, and combines signals from base stations to maximize Signal to Noise
Interference Ratio (SNIR). The signal combiner (46) also can perform the MRC
method to maximize (or minimize) other ratios or parameters. In this way, soft
combining can be achieved. Moreover, a person having ordinary skill in the art also
can implement a hard combining of selecting only the best channel or several channels
using the present invention.
The combined signal after the signal combiner (46) can be expressed as:
R'= ∑H * H t D 1 = ∑D t (Equation 6)
1=1 I=I
Finally, the decoder (47) decodes the combined signal.
It will be apparent to those skilled in the art that various modifications and
variations can be made in the ^ present invention without departing from the spirit or
scope of the inventions. Thus, it is intended that the present invention covers the
modifications and variations of this invention provided they come within the scope of
the appended claims and their equivalents.