# US 2013/0155928 A1 · Power management in a mobile communication system

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- Number: US 2013/0155928 A1
- Document ID: US20130155928A1
- Status: Published application
- Kind: A1
- Application number: 13/447,864
- Filed: 2012-04-16
- Published: 2013-06-20
- Earliest claimed: 2011-12-14
- Assignees: Transpacific IP Management Group Ltd.
- Inventors: Yu-Ping Yu; Kai-Ten Feng
- Web page: https://patentgrep.com/patent/US20130155928A1

## CPC

- H04W 52/0216: {using a pre-established activity schedule, e.g. traffic indication frame}
- Y02D 30/70: in wireless communication networks
- H04W: WIRELESS COMMUNICATION NETWORKS (broadcast communication H04H; communication systems using wireless links for non-selective communication, e.g. wireless extensions H04M1/72)
- Y02D: CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE

## Abstract

A device in a base station of a mobile communication system for power management can include a storage device to store a group of parameter sets associated with a user equipment (UE) of the mobile communication system. The device can include a processor to calculate a corresponding objective function associated with each entity of the group of parameter sets. The processor can be configured to select an entity of the group of parameter sets based on the corresponding objective function, and the selected entity of the group of parameter sets facilitates the power management for the UE.

## Claims

### Claim 1

A device, comprising:
a storage device to store a group of parameter sets associated with a user equipment (UE) of a mobile communication system; and
a processor, communicatively coupled to the storage device, that executes or facilitates execution of computer-executable instructions to at least:
determine a corresponding objective function associated with each entity of the group of parameter sets,
select an entity of the group of parameter sets based on the objective function, and
facilitate power management for the UE as a function of the selected entity of the group of parameter sets.

### Claim 2 (depends on 1)

The device of claim 1, wherein the processor further executes or facilitates the execution of the computer-executable instructions to select the entity of the group of parameter sets at a decision point.

### Claim 3 (depends on 2)

The device of claim 2 wherein the processor further executes or facilitates the execution of the computer-executable instructions to perform a discontinuous reception (DRX) operation to achieve the power management, wherein each entity of the group of parameter sets is associated with DRX cycles of the DRX operation.

### Claim 4 (depends on 3)

The device of claim 3, wherein each entity of the group of parameter sets comprises a parameter set, the parameter set comprising at least one of a first, a second and a third parameter relative to the DRX cycles.

### Claim 5 (depends on 4)

The device of claim 4, wherein the DRX cycles comprise short DRX cycles and long DRX cycles longer than the short DRX cycles, and wherein the decision point is associated with a beginning time point of the short DRX cycles.

### Claim 6 (depends on 5)

The device of claim 5, wherein the first parameter comprises a cycle length of the short DRX cycles, the second parameter comprises an upper limit of a number of the short DRX cycles, and the third parameter comprises a cycle length of the long DRX cycles.

### Claim 7 (depends on 1)

The device of claim 1, wherein the storage device further stores a set of discrete traffic states associated with traffic between the base station and the UE.

### Claim 8 (depends on 7)

The device of claim 7, wherein the processor further executes or facilitates the execution of the computer-executable instructions to determine a set of estimated traffic states based on the set of discrete traffic states and an observation associated with the traffic between the base station and the UE.

### Claim 9 (depends on 8)

The device of claim 8, wherein the processor further executes or facilitates the execution of the computer-executable instructions to determine corresponding evaluation metrics associated with each entity of the group of parameter sets based on the set of discrete traffic states.

### Claim 10 (depends on 9)

The device of claim 9, wherein the processor further executes or facilitates the execution of the computer-executable instructions to determine a corresponding reward associated with each entity of the group of parameter sets based on the corresponding evaluation metrics and a predefined constraint.

### Claim 11 (depends on 10)

The device of claim 10, wherein the corresponding objective function is determined based on the set of estimated traffic states and the reward.

### Claim 12 (depends on 8)

The device of claim 8, wherein the set of estimated traffic states are determined according to a partially observable Markov decision process (POMDP) model.

### Claim 13 (depends on 12)

The device of claim 12, wherein the set of estimated traffic states comprise a set of belief states.

### Claim 14 (depends on 9)

The device of claim 9, wherein the evaluation metrics comprise a sleeping ratio for the UE associated with the DRX operation and a mean packet delay associated with the traffic between the base station and the UE.

### Claim 15 (depends on 1)

The device of claim 1, wherein the mobile communication system is a third generation partnership project (3GPP) long term evolution (LTE) communication system.

### Claim 16

A method for power management in a mobile communication system, the method comprising:
determining a corresponding objective function associated with each entity of a group of candidate action sets associated with a group of parameter sets, the corresponding objective function is associated with a set of discrete traffic states associated with traffic between a base station and a user equipment (UE) of the mobile communication system;
selecting an action set from the group of candidate action sets based on the corresponding objective function; and
taking an action corresponding to the selected action set at a decision point, wherein the taking the action facilitates the power management for the UE.

### Claim 17 (depends on 16)

The method of claim 16, wherein each entity of the group of parameter sets is associated with discontinuous reception (DRX) cycles of a DRX operation, the DRX operation is performed by the base station.

### Claim 18 (depends on 17)

The method of claim 17, wherein each entity of the group of parameter sets comprises a parameter set, the parameter set comprising at least one of a first, a second and a third parameter relative to the DRX cycles.

### Claim 19 (depends on 18)

The method of claim 18, wherein the DRX cycles comprise short DRX cycles and long DRX cycles, and wherein the decision point is associated with a beginning time point of the short DRX cycles.

### Claim 20 (depends on 19)

The method of claim 19, wherein the first parameter comprises a cycle length of the short DRX cycles, the second parameter comprises an upper limit of a number of the short DRX cycles, and the third parameter comprises a cycle length of the long DRX cycles.

### Claim 21 (depends on 16)

The method of claim 16, wherein the determining the corresponding objective function comprises:
calculating a set of estimated traffic states, the set of estimated traffic states are associated with the traffic between the base station and the UE at the decision point;
calculating corresponding evaluation metrics under each of the discrete traffic states, the evaluation metrics are associated with each entity of the group of parameter sets;
calculating a corresponding reward under each of the discrete traffic states based on the evaluation metrics, the corresponding reward is associated with each entity of the group of candidate action sets; and
calculating the corresponding objective function based on the corresponding reward and the set of estimated traffic states.

### Claim 22 (depends on 21)

The method of claim 21, wherein the determining the set of estimated traffic states comprises:
obtaining an observation, the observation is associated with the traffic between the base station and the UE within a time period between the decision point and a previous decision point;
calculating an observation function based on the observation and the set of discrete traffic states; and
calculating the set of estimated traffic states based on the observation function and second set of estimated traffic states, the second set of estimated traffic states are calculated at the previous decision point.

### Claim 23 (depends on 22)

The method of claim 22, wherein the determining the corresponding evaluation metrics comprises:
calculating a corresponding sleeping ratio under each of the discrete traffic states, the corresponding sleeping ratio is associated with each entity of the group of parameter sets; and
calculating a corresponding mean packet delay under each of the discrete traffic states, the corresponding mean packet delay is associated with each entity of the group of parameter sets.

### Claim 24 (depends on 23)

The method of claim 23, wherein the calculating the corresponding reward comprises:
comparing the corresponding mean packet delay with a predefined constraint;
determining whether the corresponding mean packet delay is smaller or equivalent to the predefined constraint;
assigning the reward with the corresponding sleeping ratio in response to the mean packet delay being smaller or equivalent to the predefined constraint; and
assigning the reward with a predefined value in response to the mean packet delay being larger than the predefined constraint.

### Claim 25 (depends on 24)

The method of claim 24, wherein the determining the corresponding objective function comprises:
calculating a T-step value function based on the reward, the T-step value function is associated with a corresponding one of the discrete traffic states; and
calculating the corresponding objective function based on the T-step value function and the set of estimated traffic states.

### Claim 26 (depends on 25)

The method of claim 25, wherein the determining the corresponding objective function based on the T-step value function comprises:
calculating an average of the T-step value function over all of the discrete traffic states with corresponding weightings, the weightings comprise the set of estimated traffic states; and
assigning the objective function with the average of the T-step value function.

### Claim 27 (depends on 24)

The method of claim 24, wherein the predefined value comprises zero.

### Claim 28 (depends on 22)

The method of claim 22, wherein the calculating the set of estimated traffic states includes calculating the set of estimated traffic states according to a partially observable Markov decision process (POMDP) model.

### Claim 29 (depends on 28)

The method of claim 28, wherein the set of estimated traffic states comprise a set of belief states.

### Claim 30 (depends on 16)

The method of claim 16, wherein the mobile communication system is a third generation partnership project (3GPP) long term evolution (LTE) communication system.