The present invention generally relates to HS-DSCH (High-Speed Downlink Shared Channel) related-procedures and, more particularly, to the channel quality indicator (CQI) derived and reported by an UE (User Equipment) in W-CDMA.
In 3GPP TS 25.214 V5.4.0 (2003-03) “Physical layer procedure (FDD)” (Release 5) (hereafter referred to as TS 25.214), the UE needs to report the channel quality indicator (CQI) for HS-DSCH rate adaptation and user scheduling. In particular, some of the physical layer parameters signaled to the UE and the Node B from higher layers are as follows:
It is desirable and advantageous to provide a simple method for estimating the CPICH SNIR with transmit and/or receive diversity processing and different receivers such as rake or equalizers.
The present invention provides a CPICH (Common Pilot Channel) processing method for estimating the SINR (Signal-to-Interference plus Noise Ratio) of the CPICH, in a SISO (single-input single-output) case and in a STTD (space-time transmit diversity) case. In the STTD case, the power of the received CPICH is the combined power from each of the transmit antennas. Multiple receive antennae processing can be applied with the CPICH processing.
Thus, the first aspect of the present invention provides a method for estimating interference in Common Pilot Channel (CPICH) in a W-CDMA receiver comprising an equalization stage for chip level filtering of received chips. The method comprises:
According to the present invention, the W-CDMA receiver is for use in a communications system having a transmitter with single antenna transmission. The receiver can also be used in a communications system having a transmitter with space-time transmit diversity transmission, wherein a virtual space-time decoding is used on the CPICH channel in order to mimic data channel space-time transformation, and wherein the received chips are over-sampled at chip-level.
The second aspect of the present invention provides a receiver for use in a communications system. The receiver comprises:
According to the present invention, the estimated signal-to-interference ratio is for use by a user equipment in the communications system to report its channel quality indicator (CQI).
According to the present invention, the communications system comprises a transmitter with single antenna transmission, or a transmitter with space-time transmit diversity transmission.
The third aspect of the present invention provides a W-CDMA communications system, which comprises:
According to the present invention, the transmitter has a single antenna for transmitting the signal stream.
Alternatively, the transmitter has two or more antennas for transmitting the signal stream in order to achieve space-time transmit diversity, and a virtual space-time decoding in the receiver is used on the CPICH in order to mimic data channel space-time transformation.
The fourth aspect of the present invention provides a communications device in a communications system, comprising:
According to the present invention, the estimated signal-to-interference ratio is used for reporting a channel quality indicator (CQI) to another component in the communication system.
According to the present invention, the communications signals are transmitted with a single antenna at a transmit side, or with space-time transmit diversity transmission.
The communications device can be a mobile phone or terminal or the like.
The present invention will become apparent upon reading the description taken in conjunction with FIGS. 1 to 6.
According to 3GPP TS 25.214 V5.4.0 (2003-03) “Physical layer procedure (FDD)” (Release 5), the UE needs to report the channel quality indicator (CQI) for HS-DSCH rate adaptation and user scheduling. For the purpose of CQI reporting, the UE relies partly on the power of the received CPICH (Common Pilot Channel). The CQI can be based on the SINR (Signal-to-Interference plus Noise Ratio) of the CPICH, for example. The present invention provides a CPICH processing method for estimating SINR in a SISO (single-input single-output) case, SIMO (single-input multiple-output) case and in a STTD (space-time transmit diversity) case. Multiple receive antennas may be used as well as different receiver algorithms such as equalizers.
The system model for a SISO or SIMO system for the purpose of SINR estimation is shown in
where A=1+j.
As shown in
r=HTs+n (2)
where H is the impulse response of the channel, and n is a noise term. A model of the impulse response is shown in a channel coefficient matrix in
It can be seen from Eq. 2 that a linear chip equalizer, for example, can be used to estimate chip {tilde over (s)}. Let us assume that only chip-level processing is carried out. This has the advantage of the equalizer noise gain being optimized independently. Let a be the noise gain minimizing column of A where
A=(HHH+RZZ)−1 (3)
which is a modified covariance matrix, and
wT=(HHa)T (4)
Accordingly, we can obtain the chip estimate from Eq. 2 as follows:
{tilde over (s)}=wTr (5)
Thus, filter weights w can be obtained by using, for example, the MMSE (minimum mean-square-error) criteria and a linear chip equalizer or some other well known algorithm (see Krauss et al., “Simple MMSE Equalizers for CDMA Downlink to Restore Chip Sequence: Comparison to Zero-Forcing and Rake”, Proceedings of 2000 IEEE International Conference on Acoustics, Speech and Signal Processing, Vol. 5, 2000, pp. 2865-2868). However, adaptive algorithms may also be used. It should be further noted that the algorithm does not need to be linear.
From chip estimate {tilde over (s)}, the CPICH symbols d can be extracted by despreading the signal by the CPICH despreading block, as shown in
In the STTD case, the power of the received CPICH is the combined power from each of the transmit antennas. The received chips (or samples) at the receive side 200′ are given by:
where s1 and s2 are the transmitted chip streams from Tx-antennas 1 and 2. The chip streams are obtained through symbol level STTD encoding of data according to the physical layer specifications. It can be seen from Eq. 6 that the chip pair ({tilde over (s)}1 and {tilde over (s)}2) can be estimated by using linear filters w1 and w2. The coefficients can be solved jointly or independently. By example, let's assume that a1 is the noise gain minimizing column of A1 and a2 respectively for A2 where
Accordingly, we have
It should be noted that the chip pair might not be time aligned.
The combined system of the MIMO channel model and the receiver filters is shown in
If the multi path channel, and the receiver filter pair can be seen as a virtual 2×2 channel as depicted in
If A is assumed to be part of the virtual coefficient and the imaginary part of the STTD encoded complex symbol is zero, the transmitted symbol is simply 1. Eq. 9 is equivalent to
with s1=s2=1.
It can be seen from Eq. 10 that the space-time decoding of CPICH provides the same SINR characteristics as those appearing on the associated physical channel. Finally, any symbol level SISO SINR estimation method can be used by assuming symbol pattern [1, 1, . . . , 1], and any conventional algorithm can be used to generate the CQI report. It should be also noted that the equalizer algorithm can be different from what is described above.
With the CPICH signal, the despread signal is
and equivalently,
where z1 and z2=1. With left multiplication by A*, we have
With the data channel signal, the received STTD encoded symbols after despreading of the data channel are:
In Eq. 14, [x0, x1] is the transmitted data symbol pair, and the residual inter-symbol interference is neglected.
Furthermore, if b1=b2*, the STTD combined signal for the data channel is
and the STTD combined signal for the CPICH or the time reverse is
It can be seen from Eq. 15 and Eq. 16, the diversity order of the decoded symbols is the same. The space-time decoded CPICH provides the same SINR characteristics as the data channel. Thus, a virtual space-time decoding can be used on the CPICH channel in order to mimic data channel space-time transformation.
In sum, the present invention provides a CPICH processing method for estimating SINR where channel and receiver filter are combined as a virtual channel. In particular, CPICH channel is despread after chip-level equalization, and SINR estimation is then performed using any conventional method. With this approach, the SINR is similar to the SINR of the associated channel. The disadvantage of this approach is the additional delay caused by the equalization. However, this delay can be considered as a small addition to the relatively large delay caused by the CQI reporting.
If STTD is used as a transmission method, a virtual space-time decoding is used for the CPICH channel in order to estimate the CPICH SINR.
It should be noted that the present invention has been disclosed in terms of a SISO and SIMO cases. However, because spatial over-sampling can be used in the equalizer, the number of receive antennas can be two or more.
The present invention relates to the channel quality indicator (CQI) derived and reported by an UE (User Equipment) in W-CDMA. The CPICH processing method for estimating the SINR of the CPICH can be extended to other physical channels in W-CDMA. UEs are shown in
Although the invention has been described with respect to a preferred embodiment thereof, it will be understood by those skilled in the art that the foregoing and various other changes, omissions and deviations in the form and detail thereof may be made without departing from the scope of this invention.