KR101153321B1 - Method and Apparatus for adaptively allocating training sequence codes, Recording medium thereof, and Terminal device thereof - Google Patents

Abstract

Disclosed are a method and apparatus for adaptive allocation of a training sequence code, a recording medium thereof, and a terminal. In the adaptive allocation method of a training sequence code according to an embodiment of the present invention, when it is determined that the terminal is applicable to the spatial multiplexing MIMO scheme by analyzing a control signal received from the terminal at the base station, the technology compatibility of the terminal is determined. step; Determining a combination of training sequence codes according to the determined technical compatibility; And assigning and transmitting a training sequence code according to the determined combination to the multiple antennas.

Description

Method and apparatus for adaptive allocation of training sequence codes, recording media thereof, and terminal {Method and Apparatus for adaptively allocating training sequence codes, Recording medium approximately, and Terminal device approximately}

The present invention relates to a method and apparatus for transmitting / receiving data through multiple transmit / receive antennas in a 3GPP Technical Specification Group (TSG) GSM / EDGE Radio Access Network (GERAN) evolution system, which is a type of mobile communication system. And apparatus for adaptive allocation, a recording medium thereof, and a terminal.

Apart from the early mobile communication system that provided voice service, the current mobile communication system is developing into a high speed, high quality wireless packet communication system for providing data and multimedia services. GSM is also moving away from voice to a system that can support data services such as EDGE, GPRS and EGPRS.

In addition, HSPA-Evolution (High Speed Packet Access), Long Term Evolution (LTE), and LTE-Advanced are 3GPP TSG RAN (Radio Access Network) centered on 4G candidate mobile communication technology for higher speed and high quality multimedia data service. Commonly, an orthogonal frequency division multiple access (OFDMA) based multi-antenna transmission / reception scheme is considered. The multiple antenna transmit / receive technique transmits different data streams simultaneously for each transmit antenna and is known to increase the data capacity linearly with the increase in the number of transmit / receive antennas without increasing the bandwidth.

Similar to the role of the training sequence code, the purpose of channel estimation is a pilot signal. As shown in FIG. 1, in a conventional OFDM system, a distributed pilot signal is arranged to improve the performance of channel estimation. The receiver must estimate the channel response in frequency-time over which data is transmitted to correct distortion by the channel. Thus, the receiver first receives the pilot sent to the promised frequency-time bin and estimates the channel response at that location. Based on the channel response estimate thus obtained, the channel of the frequency-time bin through which data is transmitted is estimated through interpolation. Since the receiver estimates the channel by two-dimensional interpolation, transmitting a pilot on the same subcarrier every OFDM symbol or using all subcarriers as a pilot in a specific OFDM symbol consumes more resources than necessary for pilot transmission. Has Therefore, this method of distributing pilot signals in two-dimensional frequency-time resources is effectively used in conventional OFDM systems because it effectively reduces the ratio of resources allocated to pilots to all resources. In a system using a plurality of transmit antennas, since a receiver must estimate both channels from two transmit antennas, a pilot signal orthogonal to each antenna must be transmitted. Yet a reasonable amount of pilot signal is needed to overcome the Doppler and delay spreads seen in the channels from the individual transmit antennas. Therefore, as the number of transmit antennas increases, the amount of resources allocated to pilots increases.

As the multi-antenna transmit / receive technique is spotlighted for high-speed large data transmission, the adoption of the multi-antenna transmit / receive technique may be considered in a conventional GSM / EDGE system. To this end, when using 2x2 multiple antennas, each antenna is allocated two bursts containing different data, and a limited study on which code is assigned to the center training sequence code is performed.

In a conventional time division multiple access (TDMA) series system such as GSM / EDGE, a TSC is transmitted in advance and used for channel estimation at a receiver. On the other hand, in an OFDM system, a pilot signal arrangement pattern is promised. For example, in a GSM / EDGE system using two transmit / receive antennas, a TSC signal orthogonal to each antenna must be transmitted because the receiver needs to estimate both channels from both transmit antennas.

로 주어진다.

은 변조 차수이며, 일반 적인 도시 채널 환경인 TU (Typical Urban)을 사용하고 송수신 필터의 영향을 고려하면

는 3~4의 값을 갖는다. 따라서 고차 변조 방식을 사용하는 경우 MLSE의 State 수는

의 범위를 갖게 되어 현실적으로 단말기에서 구현이 쉽지 않다. 따라서 고차 변조 방식의 사용과는 별도로 다중 송수신 안테나를 활용한 데이터 전송률 증대 방안이 매우 필요한 상황이다.In order to increase the data rate in the GERAN evolution system using a single transmit / receive antenna, higher order modulation such as 16QAM or 32QAM is used. In this case, an optimized technique such as Maximum Likelihood Sequences Estimation (MLSE) is used to estimate a transmission symbol from a symbol received through a multipath fading channel at the receiver. When using the MLSE technique, the number of states

.

Is the modulation order, using the typical urban channel TU (Typical Urban) and considering the effects of the transmit and receive filters

Has a value of 3 to 4. Therefore, when using higher order modulation, the number of states in the MLSE is

In reality, it is not easy to implement in the terminal. Therefore, in addition to the use of higher-order modulation, there is a need for a method of increasing data rates using multiple transmit / receive antennas.

In the research on the method of employing the spatial multiplexing multiple transmit / receive antenna scheme in GSM / EDGE, only the L-TSC in the burst structure of the normal symbol rate has been studied, and the H-TSC and MUROS used in the burst structure for the high symbol rate have been studied. There is no consideration for N-TSC. However, recalling that the backward compatibility of the system should be ensured, the existing bursts should be supported in the multiple transmit / receive antennas, and a study on how to adaptively allocate and operate the training sequence codes used in the existing bursts is essential. Moreover, the H-TSC for high symbol rate was determined based on the superiority of autocorrelation only considering the single antenna transmission and reception. However, for the 2x2 transmit / receive antenna system, it is necessary to consider the cross-correlation value between H-TSCs because each transmit antenna needs to transmit a different TSC. In addition, since the number of codes belonging to the training sequence code group is limited to 8 each, in order to solve the shortage of codes according to the number of antennas, H-TSC and N-TSC are additionally used in addition to the L-TSC to the multiple antennas to improve the technical compatibility of the terminal. Therefore, research on adaptive allocation method and device structure is needed.

The first technical problem to be achieved by the present invention is to provide an adaptive allocation method of the training sequence code that can increase the capacity and improve the reliability in the GSM / EDGE, GERAN evolution system employing multiple transmit and receive antennas.

A second technical object of the present invention is to provide a recording medium that can be read by a computer system as a medium on which a program for executing the adaptive allocation method of the training sequence code is recorded in the computer system.

A third object of the present invention is to provide an apparatus for adaptively assigning a training sequence code to which the above-described adaptive allocation method of training sequence code is applied.

A fourth technical object of the present invention is to provide a terminal for estimating a channel while transmitting and receiving data with a base station to which the adaptive allocation apparatus of the above training sequence code is used.

Accordingly, in the adaptive allocation method of the training sequence code according to an embodiment of the present invention, when it is determined that the terminal is applicable to the spatial multiplexing MIMO technique by analyzing a control signal received from the terminal at the base station, the technology compatibility of the terminal is determined. Determining; Determining a combination of training sequence codes according to the determined technical compatibility; And assigning and transmitting a training sequence code according to the determined combination to the multiple antennas.

In addition, the apparatus for adaptive allocation of a training sequence code according to an embodiment of the present invention analyzes a control signal received from a terminal, and if it is determined that the terminal is applicable to a spatial multiplexing MIMO technique, determining the technical compatibility of the terminal. A control signal analyzer; An adaptive allocator configured to determine a combination of training sequence codes according to the determined technical compatibility; And a transmitter for allocating and transmitting a training sequence code according to the determined combination to the multiple antennas.

In addition, the terminal according to an embodiment of the present invention includes a receiving unit for receiving a training sequence code from the base station; And a channel estimator for estimating a channel using JLS (Joint Least Square) if the training sequence code is different for each receiving antenna, and estimating a channel using LS (Least Square) if the training sequence code is the same for each receiving antenna. Include.

According to the embodiments of the present invention, in the GSM / EDGE and GERAN evolution systems using multiple transmit / receive antennas, the training sequence codes are adaptively allocated to and operated in multiple antennas, thereby increasing the capacity of the system, and the optimal training sequence. Since the amount of interference can be reduced by using a combination of codes, the phase estimation performance can be improved for each antenna and a more reliable transmission system can be realized due to the effect of reducing errors in channel estimation at the receiving antenna.

1 illustrates an example of a distributed pilot deployment method in a conventional OFDM system.
2 illustrates a burst structure for 3GPP GSM / EDGE EGPRS normal symbol rate.
3 shows a normal symbol rate training sequence code.
4 illustrates a burst structure for 3GPP GERAN EGPRS2 high symbol rate.
5 shows a high symbol rate training sequence code.
FIG. 6 is a conceptual diagram of carrier allocation using frequency hopping and assigning a time slot (TS1) to one user in one TDMA frame.
7 illustrates a newly proposed normal symbol rate training sequence code for MUROS.
8 illustrates a channel estimation scenario in a 2 × 2 MIMO channel.
9 shows an example of a normal symbol rate TSC optimal combination allocation method.
10 shows an example of a high symbol rate TSC optimal combination allocation method.
FIG. 11 illustrates cross-correlation values for finding the high symbol ratio TSC combination of FIG. 10.
12A shows an example of an optimal combination allocation method between L-TSC and N-TSC for MUROS.
FIG. 12B illustrates cross-correlation values for finding the L-TSC and N-TSC combination of FIG. 12A.
13 shows an example of an N-TSC optimal combination allocation method for MUROS.
FIG. 14 illustrates cross-correlation values for finding an N-TSC combination for MUROS of FIG. 13.
15 is a block diagram of an apparatus for adaptive allocation of a training sequence code according to an embodiment of the present invention.
16 is a detailed flowchart of an adaptive allocation method of a training sequence code according to an embodiment of the present invention.
17 is a conceptual diagram of allocating one carrier to one user and transmitting different training sequence codes.
18 is a conceptual diagram of allocating different carriers to one user and transmitting different training sequence codes.
19 is a conceptual diagram of allocating two different carriers to one user and transmitting the same training sequence code in a superimposed manner.
20 is a block diagram of a terminal according to an embodiment of the present invention.

Hereinafter, exemplary embodiments of the present invention will be described with reference to the accompanying drawings. However, embodiments of the present invention illustrated in the following may be modified in many different forms, the scope of the present invention is not limited to the embodiments described in the following.

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a mobile communication system, in particular, in consideration of system compatibility and single or multiple carrier frequencies when increasing transmission data rate and capacity with multiple transmit / receive antenna spatial multiplexing in 3GPP TSG GERAN evolution system. And a method and apparatus for adaptively assigning a training sequence code to an antenna.

Hereinafter, the present invention adaptively assigns L-TSC, H-TSC, and N-TSC for channel estimation to two antennas in a GERAN evolution system, assuming multiple transmit / receive antennas as 2x2 antennas.

2 shows a burst structure having a normal symbol rate applied to a GSM / EDGE mobile communication system. In the normal symbol rate burst structure of FIG. 2, eight training sequence codes L-TSCs having a length of 26 symbols ( N = 26) located in the center for the purpose of channel estimation and the like are possible.

The technologies applied for the GERAN evolution system include high symbol rate, high order modulation, and dual carrier transmission, which are 1.2 times higher than the normal symbol rate. The purpose is to increase the capacity.

4 shows a burst structure for supporting the high symbol rate proposed in EGPRS2. In the case of the high symbol rate burst transmission of FIG. 4, unlike the normal symbol rate burst structure of FIG. 2, a training sequence code H-TSC having 31 symbol lengths ( N = 31) may be 8 as shown in FIG. 5.

In the GSM / EDGE system, a method of allowing a time slot for one user to be allocated to a different carrier for each frame through frequency hopping as shown in FIG. 6 is used.

In addition, 3GPP GERAN is discussing MUROS (Multi-User Reusing One Slot) as an extension of the GSM standard. MUROS is a technique for transmitting signals of two or more voice users using the same time slot and the same carrier with overlapping GMSK signals, which can be increased from 2 to 4 times the capacity of existing GSM network voice. A new training sequence with symbol length ( N = 26) is added to the normal symbol rate burst structure to support MUROS. 7 shows a new training sequence N-TSC.

8 illustrates a channel estimation scenario in a 2 × 2 MIMO channel.

In the GERAN evolution scenario in which a high symbol rate burst is transmitted and received using a 2 x 2 MIMO antenna, when two antennas are simultaneously received, the discrete transmit / receive model is represented by Equation 1.

는 두 안테나에 수신된 트레이닝 시퀀스 코드 심볼 행렬이며

로 정의된다.

과

는 각각 잡음과 채널간(co-channel) 간섭 신호 행렬이며

과 마찬가지 방법으로 정의된다.

는 두 안테나에 송신된 TSC 심볼 행렬이며

로 정의된다.

또는

는 트레이닝 시퀀스 코드 심볼로 이루어진

크기의 토에플리츠(Toeplitz) 컨볼루션 행렬이다. 여기서 L은 다중 경로 채널의 탭(tap) 수를 의미한다. 전체 4개의 채널 스트림 행렬은

로 정의된다. 이제 수학식 1은, 예를 들어, JLS (Joint Least Square) 채널 추정기법을 이용하여 수학식 2와 같이 채널 추정 행렬을 얻을 수 있다.here

Is the training sequence code symbol matrix received at both antennas

Is defined as

and

Are the noise and co-channel interference signal matrices, respectively.

It is defined in the same way as.

Is the TSC symbol matrix transmitted on both antennas

Is defined as

or

Consists of training sequence code symbols

Toeplitz convolution matrix of magnitude. L is the number of taps of the multipath channel. All four channel stream matrices are

Is defined as Equation 1 may be obtained, for example, using a Joint Least Square (JLS) channel estimating technique to obtain a channel estimation matrix as shown in Equation 2.

In such a scenario, when a normal burst having a normal symbol rate is transmitted to each antenna as shown in FIG. 9, {{L-TSC_0, L-TSC_2}, {L-TSC_1, L-TSC_7 in the training sequence code portion located in each burst. }, {L-TSC_3, L-TSC_4}, {L-TSC_5, L-TSC_6}} can be selected and transmitted.

In addition, when the terminal supports EGPRS2 in the structure having two transmit / receive antennas as shown in FIG. 8 and uses the same carrier as shown in FIG. 17, the transmission antenna 1 and the transmit antenna 2 have different H in the high symbol rate burst as shown in FIG. It can transmit using -TSC_ (j) and H-TSC_ (k). In this case, cross-correlation value is an important performance index in selecting and using two different H-TSCs out of eight H-TSCs from H-TSC_0 to H-TSC_7. The cross-correlation value in this case may be calculated as in Equation 3.

Based on Equation 3, the cross-correlation value table of FIG. 11 may be obtained. As shown in FIG. 11, the {H-TSC_0, H-TSC_2}, {H-TSC _1, H-TSC_7}, {H-TSC_3 H-TSC_4}, and {H-TSC_5, H-TSC_6} pairs have the lowest crossover as a whole. It can be seen that it has a correlation value.

As shown in FIG. 10, selecting one of four H-TSC combinations has a minimum cross correlation value. The cross correlation value is proportional to the channel estimation error rate. In Equation 4, the autocorrelation matrix of the channel estimation technique error is defined.

는 잡음의 분산 값이다. 수학식 4에 의해 최소의 채널 추정 에러 값을 갖기 위해선 채널 추정 에러자기 상관도 높아야 하므로 결국

값이 최대가 되어야 한다. 즉, 두 안테나에 송신된 H-TSC 심볼의 교차 상관도가 최소가 되어야 채널 추정 에러가 최소가 됨을 유도 할 수 있다. here

Is the variance of the noise. In order to have the minimum channel estimation error value according to Equation 4, the channel estimation error self correlation must also be high.

The value should be maximum. That is, it is possible to derive the minimum channel estimation error only when the cross correlation of the H-TSC symbols transmitted to the two antennas is minimized.

In addition, when the terminal supports MUROS in the structure having two transmit / receive antennas as shown in FIG. 8 and uses the same carrier as shown in FIG. 17, L-for the normal symbol rate in the burst shown in FIG. The case of transmitting TSC_ (j) and N-TSC_ (k) for MUROS may be considered. In this case, cross-correlation is an important performance indicator in selecting and using 8 L-TSCs from L-TSC_0 to L-TSC_7 and one of 8 N-TSCs from N-TSC_0 to N-TSC_7. do. The cross-correlation value in this case may be calculated as in Equation 5.

A table of cross-correlation values as shown in FIG. 12B can be obtained by using Equation 5 below. As shown in FIG. 12B, {L-TSC_0, N-TSC_7}, {L-TSC_1, N-TSC_5}, {L-TSC_2, N-TSC_2}, {L-TSC_3, N-TSC_3}, {L-TSC_4, It can be seen that N-TSC_4}, {L-TSC_5, N-TSC_0}, {L-TSC_6, N-TSC_6}, and {L-TSC_7, N-TSC_1} pairs have the lowest cross-correlation value overall.

In addition, the MUROS supporting terminal may also consider a method of transmitting different N-TSC_ (j) and N-TSC_ (k) using the same carrier in the burst shown in FIG. 13. In this case, cross-correlation value is an important performance index in selecting and using two different N-TSCs out of eight N-TSCs from N-TSC_0 to N-TSC_7. The cross-correlation value in this case may be calculated as in Equation 6.

By using Equation 6, a cross-correlation value table as shown in FIG. 14 may be obtained. As shown in FIG. 14, {N-TSC_0, N-TSC_2}, {N-TSC_1, N-TSC_3}, {N-TSC_4 N-TSC_5}, and {N-TSC_6, N-TSC_7} pairs have the lowest overall cross-correlation. It can be seen that it has a value.

15 is a block diagram of an apparatus 500 for adaptive allocation of a training sequence code according to an embodiment of the present invention.

The control signal analyzer 510 analyzes the control signal received from the terminal. If it is determined that the terminal is applicable to the spatial multiplexing MIMO technique, the control signal analyzer 510 determines the technical compatibility of the terminal. The technical compatibility of the terminal is information on whether the terminal supports EGPRS, whether EGPRS2 is supported, or whether MUROS is supported.

The adaptive allocator 520 determines a combination of training sequence codes according to the technology compatibility determined by the control signal analyzer 510.

The transmitter 530 allocates and transmits a training sequence code to multiple antennas according to the combination determined by the adaptive allocator 520.

Accordingly, in the adaptive allocation method of a training sequence code according to an embodiment of the present invention, when the terminal determines that the spatial multiplexing MIMO technique is applicable by analyzing a control signal received from the terminal, the technical compatibility of the terminal is determined. The method may include determining a combination of training sequence codes according to technical compatibility of the terminal, and assigning and transmitting the training sequence codes according to the determined combination to multiple antennas.

16 is a detailed flowchart of an adaptive allocation method of a training sequence code according to an embodiment of the present invention.

First, the base station receiver analyzes the signals received from the terminals to determine whether the spatial multiplexing MIMO technique is applicable (S610), and classifies the terminals according to technology compatibility (S620).

The first S631 is an EGPRS-enabled terminal using L-TSC having a burst structure having a normal symbol rate. The second (S641) is an EGPRS2 support terminal using the H-TSC having a burst structure including the EGPRS and having a high symbol rate. Last (S651) is a terminal that includes EGPRS and supports MUROS, and therefore supports both L-TSC and N-TSC.

If the terminal is classified according to the technology compatibility of the terminal, the training sequence code that can be allocated to each antenna is checked to select the optimal combination of the training sequence codes (S632, S642-S644, and S652-S656).

When the optimal combination is selected, the base station allocates the corresponding training sequence code to each antenna (S660).

For example, if the terminal supports EGPRS2, if L-TSC can be allocated to transmit antenna 1, transmit L-TSC_ (j) in the burst of transmit antenna 1 and L-TSC_ (k in the burst of transmit antenna 2). ) Can be sent. Where j ≠ k. On the other hand, if L-TSC cannot be allocated to transmit antenna 1, H-TSC_ (j) may be transmitted in the burst of transmit antenna 1 and H-TSC_ (k) may be transmitted in the burst of transmit antenna 2. FIG.

For example, a terminal supporting MUROS may use both L-TSC and N-TSC. First, it is checked whether the L-TSC is available for the antenna 1, and when the L-TSC is not available, the optimal combination of {N-TSC, N-TSC} shown in FIG. 14 is used. That is, N-TSC_ (j) may be transmitted in the burst of transmit antenna 1 and N-TSC_ (k) may be transmitted in the burst of transmit antenna 2. FIG. On the other hand, when L-TSC is available for antenna 1, the optimum combination of {L-TSC, N-TSC} or {L-TSC, L-TSC} is used depending on whether N-TSC is available for antenna 2, respectively. . That is, if L-TSC can be allocated to transmit antenna 1 and N-TSC can be allocated to transmit antenna 2, L-TSC_ (j) is transmitted in the burst of transmit antenna 1, and N-TSC_ (is transmitted in the burst of transmit antenna 2). k) can be transmitted. Or, if L-TSC can be assigned to transmit antenna 1 and N-TSC cannot be assigned to transmit antenna 2, transmit L-TSC_ (j) in the burst of transmit antenna 1 and L-TSC_ (in burst of transmit antenna 2). k) can be transmitted.

17 is a conceptual diagram of allocating one carrier to one user and transmitting different training sequence codes.

18 illustrates a process of adaptively assigning a plurality of training sequence codes to a 2x2 antenna in connection with dual carrier receiver operation according to another embodiment of the present invention.

,

)를 한 사용자에게 할당하여 송신 안테나 1의 버스트에 TSC_(j)를 할당하고 송신 안테나 2의 버스트에 TSC_(k)를 할당한다. 이때 {TSC_(j), TSC_(k)}의 조합은 앞서 언급된 트레이닝 시퀀스 코드의 조합 중 어느 하나의 조합이다. 수신기는 이를 통해 채널 추정 수행한다. 이 실시 예에서는 다른 사용자에게 할당할 수 있는 자원이 줄게 되므로 주변 환경에 따라 적응적으로 동작해야 한다.Another embodiment of the present invention is for the case of applying different training sequence codes to dual carriers. In the GERAN evolution system, which does not currently apply the multi-antenna technology, the spatial multi-transmit antenna technology is applied using a training sequence code. In a structure having two transmit / receive antennas, a dual carrier (

,

TSC_ (j) is assigned to the burst of transmit antenna 1 and TSC_ (k) is assigned to the burst of transmit antenna 2. In this case, the combination of {TSC_ (j) and TSC_ (k)} is a combination of any one of the aforementioned combinations of training sequence codes. The receiver performs channel estimation through this. In this embodiment, since resources that can be allocated to other users are reduced, it must operate adaptively according to the surrounding environment.

19 shows a process of adaptively allocating the same training sequence code for a 2x2 antenna in connection with dual carrier receiver operation according to another embodiment of the present invention to solve the lack of the number of training sequence code sets.

Another embodiment of the present invention relates to the case of applying the same training sequence code to dual carriers.

,

) 주파수를 한 사용자에게 할당하여 송신 안테나 1과 2에 버스트에 동일한 TSC_(i)를 할당한다. 이 실시 예에서는 각 안테나에서 서로 다른 주파수를 갖는 캐리어

과

을 할당하여 전송을 하게 되므로, 수신기의 각 안테나로 전송된 캐리어

과

을 통해 수신 받은 트레이닝 시퀀스 코드를 이용하여 JLS 채널 추정 기법 대신 상대적으로 복잡도가 덜한 LS (Least Square) 채널 추정 기법을 적용하여 해당 채널을 추정할 수도 있다. In the GERAN evolution system to which the multi-antenna technology is not applied, a spatial multi-transmit antenna technology is applied by using a training sequence code, and in a structure having two transmit / receive antennas, as shown in FIG.

,

) The frequency is assigned to one user and the same TSC_ (i) is assigned to the bursts of the transmitting antennas 1 and 2. In this embodiment, carriers having different frequencies in each antenna

and

Since it transmits by assigning the carrier, the carrier transmitted to each antenna of the receiver

and

Instead of using the JLS channel estimation scheme, the training sequence code received through may apply the LS (Least Square) channel estimation technique, which is relatively less complex, to estimate the corresponding channel.

인 경우 주파수 선택적 페이딩 신호의 코히어런스 대역폭 (Coherence Bandwidth)

은 대략 최대 지연시간의 역수로 주어진다. TU3 페이딩 채널의 경우 다중 수신경로(multipath)에 의한 최대 시간지연(delay spread)은

이므로

이다. 따라서 경우에 따라 인접한 캐리어가 할당된 경우 주파수 선택적 페이딩의 변화가 커서 채널 추정이 어렵게 될 수도 있다.However, the maximum delay spread due to multipath

Is the coherence bandwidth of the frequency selective fading signal.

Is given by the inverse of the maximum delay time. For TU3 fading channels, the maximum delay spread due to multipath is

Because of

to be. Therefore, in some cases, when adjacent carriers are allocated, the frequency selective fading may be so large that channel estimation may be difficult.

20 is a block diagram of a terminal 700 according to an embodiment of the present invention.

The receiver 710 receives a training sequence code from a base station.

The channel estimator 720 adaptively estimates a channel for each antenna according to the training sequence code. The channel estimator 720 estimates a channel using JLS when the training sequence code is different for each receiving antenna, and estimates the channel using LS when the training sequence code is the same for each receiving antenna.

The transmitter 730 transmits and receives data with the base station using the channel information estimated by the channel estimator 720.

The invention can be implemented via software. Preferably, according to embodiments of the present invention

Can be provided by recording a program for executing in a computer on a computer-readable recording medium. When implemented in software, the constituent means of the present invention are code segments that perform the necessary work. The program or code segments may be stored on a processor readable medium or transmitted by a computer data signal coupled with a carrier on a transmission medium or network.

A computer-readable recording medium includes all kinds of recording apparatuses in which data that can be read by a computer system is stored. Examples of the computer readable recording medium include ROM, RAM, CD-ROM, DVD 占 ROM, DVD-RAM, magnetic tape, floppy disk, hard disk, optical data storage, and the like. The computer readable recording medium can also be distributed over network coupled computer devices so that the computer readable code is stored and executed in a distributed fashion.

Although the present invention has been described with reference to one embodiment shown in the drawings, this is merely exemplary, and it will be understood by those skilled in the art that various modifications and variations may be made therefrom. And, such modifications should be considered to be within the technical protection scope of the present invention. Therefore, the true technical protection scope of the present invention will be defined by the technical spirit of the appended claims.

Claims (20)

In a method for allocating a training sequence code (TSC) in a GSM / EDGE Radio Access Network (GERAN) evolution system applying multiple antennas,
When the base station analyzes the control signal received from the terminal and determines that the terminal is applicable to a spatial multiplex multiplex multiple output (MIMO) technique, an enhanced General Packet Radio Service (EGPRS) technique having a burst structure having a normal symbol rate; The terminal supporting the burst-enhanced Enhanced General Packet Radio Service phase 2 (EGPRS2) technology or the Multi-User Reusing One Slot (MUROS) technology having a high symbol rate uses one of the EGPRS technology, the EGPRS2 technology, and the MUROS technology. Determining whether or not technology compatibility for transmitting a training sequence code by replacing the remaining technology among the EGPRS technology, the EGPRS2 technology, and the MUROS technology while transmitting the training sequence code is available.
Determining a combination of training sequence codes according to the determined technical compatibility; And
Assigning and transmitting a training sequence code according to the determined combination to the multiple antennas;
Adaptive allocation method of training sequence code comprising a. The method of claim 1,
Determining the combination of the training sequence code
Selecting a combination having the lowest cross correlation between training sequence codes from among combinations of training sequence codes. The method of claim 1,
Determining the combination of the training sequence code
If the terminal supports EGPRS, selecting a combination between a training sequence code (L-TSC), which is a training sequence code for a normal symbol rate, and adaptively assigning a training sequence code. The method of claim 1,
Determining the combination of the training sequence code
If the terminal supports EGPRS2, if the L-TSC, which is a training sequence code for the normal symbol rate can be allocated to the first transmitting antenna, comprising the step of selecting a combination between the L-TSC, training sequence Adaptive allocation of code. The method of claim 4, wherein
Determining the combination of the training sequence code
If it is impossible to assign an L-TSC to the first transmitting antenna, selecting a combination between a high symbol rate training sequence code (H-TSC), which is a training sequence code for a high symbol rate, and a training sequence. Adaptive allocation of code. The method of claim 1,
Determining the combination of the training sequence code
When the terminal supports MUROS, if the L-TSC, which is a training sequence code for a normal symbol rate, can be allocated to the first transmitting antenna, a combination between N-TSC (New Training Sequence Code), which is a training sequence code for MUROS, is allocated. And selecting the training sequence code. The method according to claim 6,
Determining the combination of the training sequence code
If the L-TSC can be allocated to the first transmitting antenna and the N-TSC can be allocated to the second transmitting antenna, selecting a combination between the L-TSC and the N-TSC; a training sequence code Adaptive allocation method. The method of claim 7, wherein
Determining the combination of the training sequence code
If the L-TSC can be allocated to the first transmitting antenna and the N-TSC cannot be allocated to the second transmitting antenna, selecting a combination between L-TSCs. Assignment method. The method according to any one of claims 3, 4 or 8,
The combination between L-TSCs is a combination {L-TSC_ (0), L-TSC_ (2)}, {L-TSC_ (1), L-TSC_ (7)} having a minimum cross-correlation value between L-TSCs, Or any one of {L-TSC_ (3), L-TSC_ (4)} or {L-TSC_ (5), L-TSC_ (6)}. The method of claim 5, wherein
The H-TSC combination is a combination {H-TSC_ (0), H-TSC_ (5)}, {H-TSC_ (1), H-TSC (3)} having a minimum cross correlation value between H-TSCs, And any one of {H-TSC_ (2), H-TSC_ (4)} or {H-TSC_ (6), H-TSC_ (7)}. The method according to claim 6,
The combination between the N-TSCs is a combination {N-TSC_ (0), N-TSC_ (2)}, {N-TSC_ (1), N-TSC_ (3)} having a minimum cross correlation value between N-TSCs, And any one of {N-TSC_ (4), N-TSC_ (5)} or {N-TSC_ (6), N-TSC_ (7)}. The method of claim 7, wherein
The combination between the L-TSC and the N-TSC is a combination {L-TSC_ (0), N-TSC_ (7)}, {L-TSC_ (1) having a minimum cross-correlation value between the L-TSC and the N-TSC. , N-TSC_ (5)}, {L-TSC_ (2), N-TSC_ (2)}, {L-TSC_ (3), N-TSC_ (3), L-TSC_ (4), N-TSC_ (4)}, {L-TSC_ (5), N-TSC_ (0)}, {L-TSC_ (6), N-TSC_ (6)} or {L-TSC_ (7), N-TSC_ (1 The method of claim 1, wherein the training sequence code is assigned. The method of claim 1,
Allocating and transmitting the training sequence code
And assigning the same carrier frequency to each other in the same time slot. The method of claim 1,
Allocating and transmitting the training sequence code
And assigning different carrier frequencies for each transmit antenna in the same time slot. 15. A computer-readable recording medium having recorded thereon a program for executing the method of any one of claims 1 to 8 or 10 to 14 on a computer system. In the apparatus for allocating a training sequence code (TSC) in a GERAN (GSM / EDGE Radio Access Network) evolution system applying a multiple antenna,
When it is determined that the terminal is applicable to the spatial multiplex multiple input multiple output (MIMO) technique by analyzing the control signal received from the terminal, EGPRS (Enhanced General Packet Radio Service) technology having a burst structure having a normal symbol rate and high symbol Rate-enhanced Burst Structure Enhanced General Packet Radio Service phase 2 (EGPRS2) technology and Multi-User Reusing One Slot (MUROS) technology supporting the terminal using one of the EGPRS technology, EGPRS2 technology and MUROS technology A control signal analysis unit for determining whether a technology compatibility for transmitting a training sequence code is possible by transmitting a training sequence code while replacing the remaining technology among the EGPRS technology, the EGPRS2 technology, and the MUROS technology during transmission of the training sequence code;
An adaptive allocator configured to determine a combination of training sequence codes according to the determined technical compatibility; And
Transmitter for assigning and transmitting a training sequence code according to the determined combination to the multiple antenna
Apparatus for adaptive allocation of training sequence code comprising a. 17. The method of claim 16,
The adaptive allocation unit
And a combination having the lowest cross correlation between the training sequence codes among the combination of the training sequence codes. 17. The method of claim 16,
The transmitter
Adaptive allocation of training sequence code, characterized in that to assign the same carrier frequency to each other in the same time slot. 17. The method of claim 16,
The transmitter
Adaptive allocation of training sequence code, characterized in that for assigning different carrier frequencies for each transmit antenna in the same time slot. In the GERAN (GSM / EDGE Radio Access Network) evolution system applying multiple antennas,
When it is determined that the terminal is applicable to the spatial multiplex multiple input multiple output (MIMO) technique by analyzing the control signal received from the terminal, EGPRS (Enhanced General Packet Radio Service) technology having a burst structure having a normal symbol rate and high symbol Rate-enhanced burst terminal EGPRS2 (Enhanced General Packet Radio Service phase 2) technology and MUROS (Multi-User Reusing One Slot) technology that supports the terminal using one of the EGPRS technology, EGPRS2 technology and MUROS technology During the transmission of the training sequence code, a control signal analysis unit for determining whether the technology compatibility of transmitting the training sequence code by replacing the remaining technology except the one currently used among the EGPRS technology, EGPRS2 technology and MUROS technology is possible; An adaptive allocator configured to determine a combination of training sequence codes according to the determined technical compatibility; Adaptive allocation unit of the training sequence code comprising a; transmission unit for transmitting a training sequence by assigning a code according to the determined combination of the multiple antenna groups; And
A receiving unit receiving the training sequence code from a base station; and estimating a channel using JLS (Joint Least Square) if the training sequence code is different for each receiving antenna, and LS (Least) if the training sequence code is the same for each receiving antenna. A channel estimator estimating a channel using a square;
GERAN evolution system applying a multi-antenna comprising a.

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