Method of Closed Loop Power Control Adjusted by Self-Interference

Abstract

A method and apparatus for controlling the transmit power of a mobile device in a mobile communication network takes the level of self-interference into account to perform inner-loop power control. For normal inner-loop power control, a signal quality estimate is compared to a signal quality target and power control commands are generated based on the comparison. When self-interference is the dominant impairment in the received signal, a “fast break” is introduced to change inner-loop power control command generation.

Description

BACKGROUND

The present invention relates generally to power control for high speed packet data access in mobile communication networks.

The current Universal Mobile Telecommunication System (UMTS) standard implements uplink power control to control the transmit power of mobile terminals on uplink channels. The uplink transmit power control procedure simultaneously controls the power of a Dedicated Physical Control Channel (DPCCH) and its corresponding Dedicated Physical Data Channels (DPDCHs), High Speed Dedicated Physical Control Channel (HS-DPCCH), and Enhanced Dedicated Physical Control and Data Channels (E-DPCCH and E-DPDCH). The power control procedure in UMTS includes inner-loop power control and outer-loop power control. Inner-loop power control compares a signal-to-interference ratio (SIR) of a received signal from a mobile terminal with an SIR target to generate transmit power control (TPC) commands to instruct the mobile terminal to either increase or decrease its transmit power. Outer-loop power control adjusts the SIR target to obtain a certain quality of service (QoS). For example, adjustment of the SIR target may be made to maintain a desired block error rate (BLER).

With higher data rates in the uplink, a higher chip energy-to-noise ratio (E_c/N₀) is needed in order to support the desired throughput. Multi-path propagation in combination with high transmission power (E_c/N₀>0 dB) may cause severe self-interference that, in some cases, dominates other interference in the received signal and degrades the overall performance of the mobile terminal. When self-interference is dominant, the received SIR may not be able to reach the SIR target, irrespective of the mobile terminal transmit power because increasing the transmit power also increases the self-interference. In this scenario, inner-loop power control continues to ask the mobile terminal to increase its transmit power, and this leads to undesirable power rush, possible system instability, and serious interference that affects other users' performance.

One possible solution to this problem is to exclude self-interference from the SIR estimation process. For example, an interference suppression receiver, such as a GRAKE receiver, may be used to suppress self-interference when demodulating the received signal. SIR may then be estimated after GRAKE combining. This method has the advantage of being straightforward and the estimated SIR reflects the actual SIR experienced by the modem. However, using an interference suppression receiver to suppress self-interference may not be sufficient to avoid power rushes at high data rates.

Another possible solution is to compute a modified SIR that excludes self-interference and to use the modified SIR for inner-loop power control. The TPC commands are then generated based on the relation between the modified SIR, with self-interference excluded, and the SIR target. However, there is always some residual self-interference that cannot be removed. Further, it may be difficult to accurately estimate the modified SIR at high data rates. Moreover, signal quality is actually affected by self-interference even if the self-interference is discounted when computing the SIR. Removing the effect of self-interference from the SIR estimate results in worse signal quality for a given SIR target and causes the outer-loop power control to compensate for the self-interference.

Another possible solution is to take self-interference into account when determining the data transmission rates for the mobile terminal. When self-interference is dominant, the uplink scheduler may avoid scheduling high data rate transmissions. However, there is an inherent delay in the scheduling process. Consequently, the scheduler cannot respond quickly enough to rapidly changing channel conditions.

SUMMARY

The present invention relates to a method of closed loop power control that takes into account the level of self-interference in the receive signal when generating power control commands. When the level of self-interference is low, a normal inner-loop power control procedure may be used wherein the signal-to-interference ratio (SIR) of the receive signal is compared to an SIR target to generate power control commands. When the level of self-interference is high, a “fast break” procedure is used for inner-loop power control to constrain further increases in mobile terminal transmit power until the level of self-interference returns to an acceptable level. The “fast break” procedure may reduce the mobile station transmit power, maintain the mobile station transmit power at current levels, or limit further increases in the mobile terminal transmit power. In some embodiments, the SIR target set by outer-loop power control may be modified when the level of self-interference is high to prevent power rushes. Also, the level of self-interference may be provided to an uplink scheduler so that the scheduler may avoid scheduling high data rate transmissions while the level of self-interference is high.

By introducing a “fast break” procedure into inner-loop power control when the level of self-interference is high, power rushes and possible system instability are avoided.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 is schematic diagram of a mobile communication network.

FIG. 2 is a graph illustrating the relationship between signal-to-interference ratio (SIR) and a modified signal-to-interference ratio (MSIR) with self-interference suppressed.

FIG. 3 is a flow diagram of an exemplary inner-loop power control procedure.

FIG. 4 is a flow diagram of an exemplary inner-loop power control procedure.

FIG. 5 is a block diagram of an exemplary base station in a mobile communication network.

FIG. 6 is a block diagram of an exemplary power control unit for a base station in a mobile communication network.

DETAILED DESCRIPTION

Referring now to the drawings, the present invention will be described in the context of a Third Generation (3G) mobile communication network, such as a UMTS network. Those skilled in the art will appreciate, however, that the present invention is applicable to systems implementing other standards. Therefore, the description should not be construed as limiting the present invention to UMTS networks.

FIG. 1 presents a simplified illustration of a mobile communication network 10 for supporting wireless communications by a plurality of mobile terminals 50. While FIG. 1 shows a single base station 20 communicating with the mobile terminals 50, those skilled in the art will appreciate that a typical communication network 10 comprises many base stations 20. The base station 20 transmits data to the mobile terminals 50 over one or more downlink channels, and receives data from the mobile terminals 50 over one or more uplink channels. The downlink and uplink channels may comprise dedicated channels, common channels, or a mixture thereof. In the current release of the UMTS standard, the physical channels for the uplink include the dedicated physical control channel (DPCCH), the dedicated physical data channel (DPDCH), the enhanced dedicated physical control channel (E-DPCCH), the enhanced dedicated physical data channel (E-DPDCH), and the high-speed dedicated physical control channel (HS-DPCCH).

Base station 20 simultaneously controls the transmit power of the mobile terminals 50 on the DPCCH, DPDCH, E-DPCCH, E-DPDCH, and HS-DPCCH. An inner power control loop sets the transmit power of the mobile terminals 50 on the DPCCH by comparing the signal-to-interference ratio (SIR) of the received DPCCH signal to an SIR target. The SIR target is set by outer-loop power control and can be driven by the block error rate (BLER) on the DPDCH, or the number of retransmissions of the E-DPDCH. The mobile terminal transmit power on the DPDCH, E-DPCCH, E-DPDCH, and HS-DPCCH are set relative to the transmit power of the DPCCH. Thus, a single power control mechanism controls the transmit power of the mobile terminal 50 on all of the uplink physical channels.

The SIR on the DPCCH may be modeled by:

$\begin{array}{cc}\mathrm{SIR}=\frac{E_c}{I_{\mathrm{ISI}}+I_{\mathrm{other}}+N_0},& \mathrm{Eq}.1\end{array}$

where E_c is the chip energy, I_ISI is intersymbol interference (e.g., self-interference), I_other is interference from other users, and N₀ is thermal noise. A modified SIR, denoted herein as MSIR, is the SIR with self-interference suppressed and is given by:

$\begin{array}{cc}\mathrm{MSIR}=\frac{E_c}{I_{\mathrm{other}}+N_0}.& \mathrm{Eq}.2\end{array}$

The orthogonality factor α indicates how much self-interference (e.g., I_ISI) will be introduced when a signal is transmitted over a dispersive channel. The computation of the orthogonality factor α is described below. The orthogonality factor α is a number in the range of 0 to 1, where 0 indicates no self-interference and 1 indicates the maximum self-interference. Eq. 1 may be rewritten in terms of the orthogonality factor α as:

$\begin{array}{cc}\mathrm{SIR}=\frac{E_c}{\alpha ·E_c+I_{\mathrm{other}}+N_0}.& \mathrm{Eq}.3\end{array}$

FIG. 2 illustrates the relationship between SIR and MSIR with a given orthogonality factor α, I_other and N₀. In theory, the SIR cannot be larger than

$\frac{1}{\alpha }.$

When a mobile terminal 50 is transmitting at high data rates, multipath propagation may cause severe self-interference, which may disrupt uplink power control. When self-interference dominates other interference in the received signal, further increases in mobile terminal transmit power may not improve the overall SIR due to increased self-interference. In this circumstance, the power control may continue to increase the transmit power of the mobile terminal 50 in a futile attempt to increase the SIR, which leads to an undesirable power rush, possible system instability, and increased interference with other users.

According to embodiments of the present invention, the level of self-interference is taken into account in performing uplink power control. When self-interference is the dominant impairment (dominating the total SIR), the power control command generation is modified to avoid power rushes and system instability. Changes in power control command generation may be accomplished by changing the way the inner-loop power control generates power control commands, and/or by adjusting the SIR target used by inner-loop power control.

The level of self-interference may be determined based on the orthogonality factor α. For example, whether the self-interference is dominant may be determined by comparing the estimated SIR to a first threshold

$\frac{k_1}{\alpha },$

where 0<k₁<1 (e.g., k₁=0.5). An SIR larger than the first threshold

$\frac{k_1}{\alpha }$

may be taken as an indication that self-interference is dominant.

When self-interference dominates the SIR estimate, a power control unit uses a “fast break” procedure for inner-loop power control. Otherwise, normal SIR-based inner-loop power control is used. In one exemplary embodiment, a “fast break” is introduced into the inner-loop power control process to interrupt normal SIR-based power control command generation. In one exemplary embodiment, the inner-loop power control may be configured to reduce or maintain the current transmit power level of the mobile terminal 50, irrespective of the relationship between the received SIR and the SIR target. This procedure effectively decouples the power control command generation from the received SIR.

Various techniques may be used to implement a fast break in the inner-loop power control. In one embodiment, a fast break may be achieved by commanding the mobile terminal 50 to reduce its transmit power even when the SIR is lower than the SIR target. In an alternative embodiment, a “fast break” may be achieved in the inner-loop power control by replacing current SIR estimates with a value that is larger than the SIR target. For example, the current SIR estimate may be replaced with a value that is as high as 10,000 times the current SIR estimate. Replacing the current SIR estimate with a value higher than the SIR target guarantees that the inner-loop power control generates a command to decrease the transmit power.

In other embodiments of the invention, power control command generation may be changed by adjusting the SIR target. Lowering the SIR target causes the inner-loop power control to issue fewer up commands. SIR target adjustment may be used in place of the fast break procedure for inner-loop power control, or in combination with the fast break procedure. For example, SIR target adjustment may be used when the fast break procedure fails to bring the self-interference level down to an acceptable level.

Those skilled in the art will appreciate that both the fast break procedure and the SIR target adjustment procedure causes an increase in the error rate. In this case, a retransmission protocol, such as hybrid ARQ, may be used to request retransmission of erroneously received data blocks. However, this effectively reduces the data throughput because more data blocks will be retransmitted when the fast break procedure or the SIR target adjustment procedure is used.

FIG. 3 illustrates an exemplary inner-loop power control process 100 implemented by the base station 20. This process is repeated during each power control interval. The process begins by measuring the SIR of the DPCCH (SIR_DPCCH) (block 102). After computing the SIR of the received DPCCH signal, the base station 20 determines whether self-interference dominates other interference in the received SIR (block 104). This determination may be made by comparing the measured SIR on the DPCCH to a first threshold

$\frac{k_1}{\alpha }$

computed based on the orthogonality factor α, where k₁>0. If self-interference is not dominant, inner-loop power control generates a transmit power control (TPC) command based on the measured SIR on the DPCCH (block 106). More particularly, the measured SIR is compared to the SIR target set by outer-loop power control. If the received SIR is below the SIR target, the inner-loop power control generates a transmit power control (TPC) command instructing the mobile terminal 50 to increase its transmit power. Conversely, if the received SIR is greater than the SIR target, the inner-loop power control generates a TPC command instructing the mobile terminal 50 to decrease its transmit power. Returning to block 104, if self-interference is the dominant interference in the received SIR, inner-loop power control uses an alternative “fast break” command generation procedure to generate the TPC commands (block 108). For example, the inner-loop power control may be configured to generate a TPC command instructing the mobile terminal 50 to reduce its transmit power regardless of the relationship between the SIR and SIR target. Alternatively, the inner-loop power control may be configured to generate alternating TPC commands to maintain the current transmit power level of the mobile terminal 50. Other “fast break” procedures may also be used.

In some embodiments, an uplink scheduler at the base station 20 may be prevented from scheduling high data rate transmissions by the mobile terminal 50 when self-interference dominates the SIR. In this case, the orthogonality factor may be provided to the scheduler so that the scheduler may take the level of self-interference into account when scheduling data rates for the mobile terminal 50 (block 110). In general, the scheduler should not schedule high data rate transmissions when the orthogonality factor α is high. Because there is an inherent delay in the scheduling process, the scheduler may be configured to filter the orthogonality factor α over a predetermined time interval, and to use the filtered value to make scheduling decisions rather then rely on the instantaneous value for the orthogonality factor α. The inner-loop power control may optionally provide the orthogonality factor α to an uplink scheduler so that the scheduler will not schedule high rate data transmissions while self-interference is dominant (block 110).

As previously noted, the SIR cannot, in theory, increase beyond

$\frac{1}{\alpha }.$

When the outer-loop power control sets the SIR target greater than

$\frac{1}{\alpha }$

due to the channel conditions, the inner-loop power control continues to increase the transmit power of the mobile terminal 50. To avoid this potential problem, the “fast break procedure” may also be used for inner-loop power control when the SIR target exceeds a second predetermined threshold denoted herein as

$\frac{k_2}{\alpha },$

where k₂ is a number between 0 and 1. Alternatively, or in addition, the outer-loop power control may lower the SIR target until the channel conditions improve, and then resume normal outer-loop power control.

In some embodiments, the MSIR may be used in place of SIR for inner-loop power control. For example, the procedure shown in FIG. 3 may be implemented using MSIR instead of SIR for normal inner-loop power control. In this case, the MSIR is compared to the SIR target set by the outer-loop power control. In other embodiments, the MSIR may be measured and compared to a third threshold denoted herein as

$\frac{k_3}{\alpha },$

where k₃ is a number greater than 0. The base station 20 may use the measured SIR for inner-loop power control when the MSIR is less than the third threshold, and use the MSIR for inner-loop power control when the MSIR exceeds the third threshold.

FIG. 4 illustrates an exemplary inner-loop power control process 150 that considers the current SIR target, the SIR, and the MSIR in generating power control commands. This process may be repeated during each power control interval. The process begins by measuring the SIR and MSIR of the DPCCH (SIR_DPCCH and MSIR_DPCCH) (block 152). After computing the SIR and MSIR, base station 20 determines whether the current SIR target set by the outer-loop power control exceeds the second threshold (block 154). If so, the base station 20 uses the “fast break” procedure for inner-loop power control (block 160). The base station 20 may also optionally adjust the SIR target (block 156) and/or provide the orthogonality factor α to the uplink scheduler (block 168). If the SIR target is below the second threshold, the base station 20 determines whether self-interference dominates other interference in the received SIR (block 158). This determination may be made by comparing the measured SIR on the DPCCH to a first threshold. If self-interference is dominant, the fast break procedure is used for inner-loop power control (block 160). The base station 20 may also optionally provide the orthogonality factor α to the uplink scheduler (block 168). If self-interference is not dominant, the base station 20 compares the measured MSIR to the third threshold (block 162). The inner-loop power control generates a transmit power control (TPC) command based on the measured SIR on the DPCCH if the MSIR is less than or equal to the third threshold (block 164), and uses the MSIR for inner-loop power control when the MSIR exceeds the third threshold (block 166).

The orthogonality factor α may be estimated from the channel estimates and combining weights computed by a GRAKE receiver. In a GRAKE receiver, the combining weights may be computed according to:

w={circumflex over (R)} ⁻¹ ĥ,   Eq. 4

where ĥ is the net channel response vector corresponding to the DPCCH and {circumflex over (R)} is an impairment covariance matrix. The impairment covariance matrix {circumflex over (R)} in Eq. 4 may be computed according to:

{circumflex over (R)}=f ₁ R _ISI(ĝ)+f₂R_n,   Eq. 5

where {circumflex over (R)}_ISI is a matrix of parametrically-estimated self-interference impairment correlations representing the covariance of the intersymbol interference (ISI), R_n is a matrix representing the covariance of the thermal noise and other user interference, ĝ is the medium channel response estimate corresponding to the DPCCH, and the parameters f₁ and f₂ are fitting parameters related to the base station transmit power and noise power respectively. In one exemplary embodiment, f₁=E_C/E_P and f₂=N₀, ignoring other user interference for simplicity, where E_C is the transmit power (energy per chip), E_P is pilot symbol energy, and N₀ is thermal noise and other user interference power.

In a GRAKE receiver, the SIR of the received signal on the DPCCH may be computed according to:

$\begin{array}{cc}\mathrm{SIR}=\frac{{\left(w^H\hat{h}\right)}^2}{f_1w^H{\hat{R}}_{\mathrm{ISI}}\left(\hat{g}\right)w+f_2w^HR_nw}.& \mathrm{Eq}.6\end{array}$

The orthogonality factor α may then be estimated according to:

$\begin{array}{cc}\hat{\alpha }=\frac{f_1w^H{\hat{R}}_{\mathrm{ISI}}\left(\hat{g}\right)w}{{\left(w^H\hat{h}\right)}^2}.& \mathrm{Eq}.7\end{array}$

The quantities in Eqs. 6 and 7 may be computed using the parameter estimation portion of a parametric GRAKE as described in G. E. Bottomley, T. Ottosson and Y. E. Wang, A generalized RAKE Receiver for Interference Suppression, IEEE Journal on Selected Areas in Communications, vol. 18, no. 8, August 2000 (Bottomley et al) and in U.S. Published Application No. 2005/0201447 titled “Method and apparatus for parameter estimation in a generalized RAKE receiver”, both of which are incorporated herein by reference.

The SIR estimate given by Eq. 6 may be used for inner-loop power control as previously described by comparing the SIR estimate to an SIR target. The outer-loop power control module sets the SIR target in a conventional manner based on the block error rate (BLER) or frame error rate (FER) provided by a decoder 30 (FIG. 5).

If MSIR is used instead of SIR for inner-loop power control, the first term in the denominator in Eq. 6 is dropped and the MSIR may be computed according to:

$\begin{array}{cc}\mathrm{MSIR}=\frac{{\left(w^H\hat{h}\right)}^2}{f_2w^HR_nw}.& \mathrm{Eq}.8a\end{array}$

An alternate method to estimate MSIR is to use a non-parametric approach. In the non-parametric approach, {circumflex over (R)} is the non-parametric full or overall impairment correlation estimate. In the non-parametric approach Eq. 8a is modified as follows:

$\begin{array}{cc}\mathrm{MSIR}=\frac{w^H\left(\hat{R}-f_1{\hat{R}}_{\mathrm{ISI}}\right)W}{f_2w^HR_nw}.& \mathrm{Eq}.8b\end{array}$

The advantage of using this method is that the impact of the other user interference is also taken into account without the need of estimating additional parameters.

Another alternate method to estimate MSIR is based on the instantaneous estimates of SIR and orthogonality factor (OF): In this case, MSIR is given by:

$\begin{array}{cc}\mathrm{MSIR}=\frac{E_c}{N_0+I_{\mathrm{other}}}=\frac{E_c}{\frac{E_c}{\mathrm{SIR}}-\alpha ·E_c}=\frac{1}{\frac{1}{\mathrm{SIR}}-\alpha }& \mathrm{Eq}.8c\end{array}$

An alternate method for estimating the orthogonality factor is based on a model of the multipath channel. The complex impulse response of the multi-path channel may be described by:

$\begin{array}{cc}h\left(n\right)=\sum _{l=1}^L{\alpha }_l·\delta \left(n-{\tau }_l\right).& \mathrm{Eq}.9\end{array}$

The receiver response may be described as:

$\begin{array}{cc}r\left(n\right)=\sum _{k=1}^K{\beta }_k·\delta \left(n-{\tau }_k^{\prime }\right).& \mathrm{Eq}.10\end{array}$

The cascade of the multi-path channel and the receiver becomes:

$\begin{array}{cc}h\left(n\right)*r\left(n\right)=\sum _{i=1}^{L+K-1}{\gamma }_i·\delta \left(n-{\tau }_i^{″}\right).& \mathrm{Eq}.11\end{array}$

With that, the orthogonality factor α may be estimated from the cascaded response by:

$\begin{array}{cc}\alpha =\left(\frac{\sum _{i=1}^{L+K-1}{{\gamma }_i}^2}{{{\gamma }_d}^2}-1\right),& \mathrm{Eq}.12\end{array}$

where

${\gamma }_d=\sum _{l=\max \left(1,d-\left(K-1\right)\right)}^{\min \left(L,d\right)}{\alpha }_l·{\beta }_{\left(1+d\right)-l}$

and d=1−τ₁. The quantities in Eq. 12 may be obtained from the channel estimates and the combining weights made by any linear receiver, e.g., a parametric or non-parametric GRAKE receiver.

FIG. 5 illustrates an exemplary base station 20 for implementing the power control process as herein described. Base station 20 comprises a Generalized RAKE (GRAKE) receiver 22, decoder 30, power control module 40, and uplink scheduler 60. The received signal r(t) is input to the GRAKE receiver 22. GRAKE receiver 22 may, for example, comprises a parametric GRAKE receiver as described in Bottomley et al and in U.S. Published Patent Application No. 2005/0201447. The GRAKE receiver 22 demodulates the received signal and provides a vector of the received symbol estimates z to the decoder 30. During the demodulation process, GRAKE receiver 22 computes various quantities as shown in Eqs. 4 through 7 including the net channel response vector ĥ, medium response vector ĝ, combining weight vector ŵ, interference covariance matrices {circumflex over (R)}_ISI & {circumflex over (R)}_n, and the fitting parameters f₁ and f₂. These quantities are provided to the power control module 40. The decoder 30 decodes the received symbols and generates an estimate of the block error rate (BLER), which is also provided to the power control module 40. Based on the input from the GRAKE receiver 22 and the decoder 30, the power control module 40 performs inner-loop and outer-loop power control.

FIG. 6 illustrates the main functional elements of the power control module 40. Power control module 40 comprises an SIR estimator 42, orthogonality factor estimator 44, inner-loop power control unit 46, and outer-loop power control unit 48. The functional elements shown in FIG. 6 may be implemented by one or more processors. The SIR estimator 42 generates estimates of the SIR and/or MSIR, while the orthogonality factor estimator 44 generates an estimate of the orthogonality factor α. The inner-loop power control unit 46 performs inner-loop power control as shown in FIGS. 3 or 4 based on the SIR and/or MSIR provided by the SIR estimator 42 and the orthogonality factor α provided by the orthogonality factor estimator 44. The outer-loop power control unit 48 generates the SIR target for the inner-loop power control based on the BLER from the decoder 30.

The present invention may, of course, be carried out in other specific ways than those herein set forth without departing from the scope and essential characteristics of the invention. The present embodiments are, therefore, to be considered in all respects as illustrative and not restrictive, and all changes coming within the meaning and equivalency range of the appended claims are intended to be embraced therein.

Claims

1. A method of controlling the transmit power of a mobile device in a mobile communication network, said method comprising: generating power control commands for controlling a transmit power of a mobile device by comparing a received signal quality of a received signal from the mobile device to a signal quality target;determining a level of self-interference in the received signal from the mobile device; andmodifying power control command generation when the level of self-interference is the dominant impairment in the received signal to constrain increases in the mobile device transmit power.

2. The method of claim 1 wherein modifying power control command generation when self-interference is the dominant impairment in the received signal comprises generating power control commands to reduce the mobile device transmit power irrespective of the signal quality of the received signal.

3. The method of claim 1 wherein modifying power control command generation when self-interference is the dominant impairment in the received signal comprises generating power control commands to maintain the transmit power of the mobile device at a current transmit power level irrespective of the signal quality of the received signal.

4. The method of claim 1 wherein modifying power control command generation when self-interference is the dominant impairment in the received signal comprises modifying the signal quality target.

5. The method of claim 1 wherein determining a level of self-interference in the received signal comprises determining an orthogonality factor associated with the received signal.

6. The method of claim 5 wherein determining an orthogonality factor associated with the received signal comprises estimating self-interference impairment correlations.

7. The method of claim 5 wherein determining an orthogonality factor associated with the received signal comprises estimating a cascaded response.

8. The method of claim 5 further comprising determining that self-interference is the dominant interference by comparing a signal-to-interference ratio of the received signal strength to a first threshold computed based on the orthogonality factor.

9. The method of claim 8 further comprising: comparing the signal quality target to a second threshold computed based on the orthogonality factor; andmodifying the signal quality target when the signal quality target is greater than the second threshold.

10. The method of claim 1 wherein generating power control commands for controlling a transmit power of a mobile device by comparing a received signal quality of a received signal from the mobile device to a target signal quality comprises: computing first and second signal-to-interference ratios for the received signal;comparing the first signal-to interference ratio to the signal quality target when the second signal-to-interference ratio is below a third threshold; andcomparing the second signal-to interference ratio to the signal quality target when the second signal-to-interference ratio is above the third threshold.

11. The method of claim 10 wherein computing first and second signal-to-interference ratios for the received signal comprises computing the second signal-to-interference ratio using a nonparametric overall impairment correlation estimate and a parametric self-interference impairment correlation estimate.

12. The method of claim 1 further comprising providing the level of self-interference to an uplink scheduler for use in determining a data transmission rate for the mobile device.

13. A power control apparatus in a mobile communication network for controlling the transmit power of a mobile terminal comprising: a signal quality estimator for generating signal quality estimates corresponding to a received signal from the mobile terminal; anda power control module comprising an inner-loop power control unit to generate power control commands for controlling a transmit power of a mobile device based on said signal quality estimates, said inner-loop power control unit configured to: determine a level of self-interference in the received signal from the mobile device; andmodify power control command generation when the self-interference is the dominant impairment in the received signal to constrain increases in the mobile device transmit power.

14. The power control apparatus of claim 13 wherein the inner-loop power control unit is configured to generate power control commands to reduce the mobile device transmit power irrespective of the signal quality of the received signal.

15. The power control apparatus of claim 13 wherein the inner-loop power control unit is configured to generate power control commands to maintain the transmit power of the mobile device at a current transmit power level irrespective of the signal quality of the received signal.

16. The power control apparatus of claim 13 wherein the power control module further comprises an outer-loop power control unit configured to modify the signal quality target when self-interference is the dominant impairment in the received signal.

17. The power control apparatus of claim 13 wherein the power control module further comprises an orthogonality factor estimator to provide an estimate of an orthogonality factor associated with the received signal to the inner-loop power control unit.

18. The power control apparatus of claim 17 wherein the inner-loop power control unit is configured to compare a signal-to-interference ratio of the received signal strength to a first threshold computed based on the orthogonality factor to determine whether self-interference is dominant.

19. The power control apparatus of claim 18 wherein the inner-loop power control unit is further configured to: compare the signal quality target to a second threshold computed based on the orthogonality factor; andmodify the signal quality target when the signal quality target is greater than the second threshold.

20. The power control apparatus of claim 13 wherein the inner-loop power control unit generates power control commands for controlling a transmit power of a mobile device by: computing first and second signal-to-interference ratios for the received signal;comparing the first signal-to interference ratio to the signal quality target when the second signal-to-interference ratio is below a third threshold; andcomparing the second signal-to interference ratio to the signal quality target when the second signal-to-interference ratio is above the third threshold.

21. The power control apparatus of claim 13 wherein the power control module is further configured to provide the level of self-interference to an uplink scheduler for use in determining a data transmission rate for the mobile device.

22. The power control apparatus of claim 13 located in a radio base station.