# US 9,883,518 B2 · Radio network node, a controlling radio network node, and methods therein for enabling management of radio resources in a radio communications network

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- Number: US 9,883,518 B2
- Document ID: US9883518B2
- Status: Granted
- Kind: B2
- Application number: 15/176,720
- Filed: 2016-06-08
- Published: 2016-10-27
- Granted: 2018-01-30
- Earliest claimed: 2016-06-08
- Assignees: Telefonaktiebolaget LM Ericsson (publ)
- Applicants: Telefonaktiebolaget LM Ericsson (publ)
- Inventors: Torbjörn Wigren
- Web page: https://patentgrep.com/patent/US9883518B2

## CPC

- H04W 72/541: using the level of interference
- H04B 17/345: Interference values ({signal-to-interference ratio [SIR] or carrier-to-interference ratio [CIR]} H04B17/336)
- H04L 25/03101: {Theory of the Kalman algorithm}
- H04W 24/10: Scheduling measurement reports {; Arrangements for measurement reports}
- H04W 52/243: {taking into account interferences}
- H04W 72/52: based on load
- H04W 72/542: using measured or perceived quality
- H04W: WIRELESS COMMUNICATION NETWORKS (broadcast communication H04H; communication systems using wireless links for non-selective communication, e.g. wireless extensions H04M1/72)
- H04B: TRANSMISSION
- H04L: TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION (arrangements common to telegraphic and telephonic communication H04M)

## Abstract

A radio network node serves a first cell in a radio communications network, and is configured to measure a received total power value at the radio network node in the first cell, compute a factor indicating a load in the first cell, estimate a noise floor level in the first cell, and compute a utilization probability value of the load in the first cell and a neighbor cell interference value simultaneously in a non-linear interference model. This is based on the measured received total power value, the computed factor, and the estimated noise floor level in the first cell. The neighbor cell interference value is an interference from at least one second cell affecting said first cell, and the utilization probability value of the load in the first cell and/or the neighbor cell interference value is to be used for managing radio resources in the radio communications network.

## Claims

### Claim 1

A method in a radio network node or enabling management of radio resources in a radio communications network, which radio network node serves a first cell, the method comprising:
measuring a received total power value at the radio network node in the first cell;
computing a factor indicating a load in the first cell;
estimating a noise floor level in the first cell; and
computing a utilization probability value of the load in the first cell and a neighbor cell interference value simultaneously in a non-linear interference model based on the measured received total power value, the computed factor, and the estimated noise floor level in the first cell, which neighbor cell interference value is an interference from at least one second cell affecting said first cell, and where at least one of the utilization probability value of the load in the first cell and the neighbor cell interference value is to be used for managing radio resources in the radio communications network.

### Claim 2 (depends on 1)

The method according to claim 1, further comprising scheduling radio resources in the first cell, based on at least one of the utilization probability value of the load in the first cell and the neighbor cell interference value.

### Claim 3 (depends on 1)

The method according to claim 1, further comprising transmitting at least one of the utilization probability value of the load in the first cell, and the neighbor cell interference value to a controlling radio network node or to a second radio network node.

### Claim 4 (depends on 3)

The method according to claim 3, wherein at least one of the utilization probability value of the load in the first cell and the neighbor cell interference value is encoded in a field of a message transmitted to the controlling radio network node.

### Claim 5 (depends on 1)

The method according to claim 1 wherein the computing of the utilization probability value of the load in the first cell and the neighbor cell interference value is based on
P
RTWP
⁡
(
t
)
=
1
1
-
L
own
⁡
(
t
-
T
D
)
⁢
p
load
⁡
(
t
)
⁢
(
P
neighbor
⁡
(
t
)
+
P
N
⁡
(
t
)
)
,
where t is a present time, PRTWP(t) is the received total power value, TD is a delay, Lown(t−TD) is the factor indicating the load in the first cell at the present time reduced with the delay, pload(t) is the utilization probability value of the load in the first cell, Pneighbor(t) is the neighbor cell interference value at the present time, PN(t) is the noise floor level, from which a sum of the neighbor cell interference value at the present time Pneighbor(t) and the noise floor level PN(t) is computed.

### Claim 6 (depends on 5)

The method according to claim 5, wherein the non-linear interference model further uses error parameters and the non-linear interference model comprises at least a state space model wherein
x(t+T)=A(t)x(t)+w(t)
yRTWP(t)=c(x(t))+e(t),
where t represents the present time, T represents a sampling period, A(t) is a matrix describing dynamic modes, x(t) is a state vector defined as
(
x
1
⁡
(
t
)
x
2
⁡
(
t
)
)
where x1(t)=pload(t) and x2(t)=Pneighbor(t)+PN(t) is an error parameter defining systems noise, e (t) is an error parameter defining white measurement noise, yRTWP(t) is the received total power value PRTWP(t) plus the error parameter e(t), and c(x(t)) is a measurement vector which is a function of the state vector x(t) describing signals of radio communications network and equals the received total power value PRTWP(t).

### Claim 7 (depends on 6)

The method according to claim 6, wherein the matrix describing dynamic modes A(t) is selected as an identity matrix of order 2.

### Claim 8 (depends on 6)

The method according to claim 6, wherein the error parameter defining the systems noise (w(t)) is selected to enable convergence of the utilization probability value to non-false estimates by selecting the error parameter defining systems noise (w(t)) below a threshold value.

### Claim 9 (depends on 1)

The method according to claim 1, wherein the received total power value at the radio network node and the computed factor of the load in the first cell are used as input in a scaled extended Kalman filter and the scaled extended Kalman filter outputs a sum of the neighbor cell interference value and the noise floor level, and wherein the neighbor cell interference value is computed by reducing the sum of the neighbor cell interference value and the noise floor level with the estimated noise floor level.

### Claim 10 (depends on 1)

The method according to claim 1, wherein the estimating of the noise floor level is based on the measured received total power value and the factor of the load in the first cell, a recursive algorithm, or a sliding window algorithm.

### Claim 11

A radio network node for enabling management of radio resources in a radio communications network, wherein the radio network node is configured to serve a first cell and comprises:
a measuring circuit configured to measure a received total power value at the radio network node in the first cell;
a first computing circuit configured to compute a factor indicating a load in the first cell;
an estimating circuit configured to estimate a noise floor level in the first cell; and
a second computing circuit configured to compute a utilization probability value of the load in the first cell and a neighbor cell interference value simultaneously in a non-linear interference model based on the measured received total power value, the computed factor, and the estimated noise floor level in the first cell, which neighbor cell interference value is an interference from at least one second cell affecting said first cell, and where at least one of the utilization probability value of the load in the first cell and the neighbor cell interference value is to be used for managing radio resources in the radio communications network.

### Claim 12 (depends on 11)

The radio network node according to claim 11, further comprising a scheduler configured to schedule radio resources in the first cell, based on at least one of the utilization probability value of the load in the first cell and the neighbor cell interference value.

### Claim 13 (depends on 11)

The radio network node according to claim 11, further comprising a transmitting circuit configured to transmit at least one of the utilization probability value of the load in the first cell, and the neighbor cell interference value to a controlling radio network node or to a second radio network node.

### Claim 14 (depends on 13)

The radio network node according to claim 13, wherein the transmitting circuit is further configured to encode a least one of the utilization probability value of the load in the first cell and the neighbor cell interference value in a field of a message to be transmitted to the controlling radio network node.

### Claim 15 (depends on 11)

The radio network node according to claim 11, wherein the second computing circuit is configured to compute the utilization probability value of the load in the first cell and the neighbor cell interference value based on
P
RTWP
⁡
(
t
)
=
1
1
-
L
own
⁡
(
t
-
T
D
)
⁢
p
load
⁡
(
t
)
⁢
(
P
neighbor
⁡
(
t
)
+
P
N
⁡
(
t
)
)
,
where t is a present time, PRTWP(t) is the received total power value, TD is a delay, Lown(t−TD) is the factor of the load in the first cell at the present time reduced with the delay, pload(t) is the utilization probability value of the load in the first cell, Pneighbor(t) is the neighbor cell interference value at the preset e. PN(t) is the noise floor level, from which a sum of the neighbor cell interference value at the present time Pneighbor(t) and the noise floor level PN(t) is computed.

### Claim 16 (depends on 15)

The radio network node according to claim 15, wherein the non-linear interference model uses error parameters and the non-linear interference model comprises at least a state space model wherein
x(t+T)=A(t)x(t)+w(t)
yRTWP(t)=c(x(t))+e(t),
where t represents the present time, T represents a sampling period, A(t) is a matrix describing dynamic modes, x(t) is a state vector defined as
(
x
1
⁡
(
t
)
x
2
⁡
(
t
)
)
where x1(t)=pload(t) and x2(t)=Pneighbor(t)+PN(t), w(t) is an error parameter defining systems noise, e(t) is an error parameter defining white measurement noise, yRTWP(t) is the received total power value PRTWP(t) plus the error parameter e(t), and c(x(t)) is a measurement vector which is a function of the state vector x(t) describing signals of the radio communications network and equals the received total power value PRTWP(t).

### Claim 17 (depends on 16)

The radio network node according to claim 16, wherein second computing circuit is configured to select the matrix describing dynamic modes A(t) as an identity matrix of order 2.

### Claim 18 (depends on 15)

The radio network node according to claim 15, wherein second computing circuit is configured to select the error parameter defining the systems noise (w(t)) to enable convergence of the utilization probability value to non-false estimates by selecting the error parameter defining systems noise (w(t)) below a threshold value.

### Claim 19 (depends on 11)

The radio network node according to claim 11, wherein a scaled extended Kalman filter is configured to use the received total power value at the radio network node and the computed factor of the load in the first cell as input and the scaled extended Kalman filter is configured to output a sum of the neighbor cell interference value and the noise floor level, and wherein the second computing circuit is configured to compute the neighbor cell interference value by reducing the sum of the neighbor cell interference value and the noise floor level with the estimated noise floor level.

### Claim 20 (depends on 11)

The radio network node according to claim 11, wherein the estimating circuit is configured estimate the noise floor level based on the measured received total power value and the factor of the load in the first cell, a recursive algorithm, or a sliding window algorithm.

### Claim 21 (depends on 11)

The radio network node according to claim 11, wherein the radio network node is a radio base station, a relay station, or a beacon station.