# US 2014/0156483 A1 · System and Method for Analyzing Strategic Network Investments in Wireless Networks

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- Number: US 2014/0156483 A1
- Document ID: US20140156483A1
- Status: Published application
- Kind: A1
- Application number: 14/171,210
- Filed: 2014-02-03
- Published: 2014-06-05
- Earliest claimed: 2004-01-06
- Assignees: Cerion Optimization Services, Inc.
- Applicants: Cerion Optimization Services, Inc.
- Inventors: Will A. Egner; Vinay Mallapu; Wei Yuan
- Web page: https://patentgrep.com/patent/US20140156483A1

## CPC

- G06Q 10/0637: Strategic management or analysis, e.g. setting a goal or target of an organisation; Planning actions based on goals; Analysis or evaluation of effectiveness of goals
- G06Q 40/00: Finance; Insurance; Tax strategies; Processing of corporate or income taxes
- G06Q 40/02: Banking, e.g. interest calculation or account maintenance (credit or loans G06Q40/03)
- H04W 16/18: Network planning tools
- H04W 24/08: Testing, {supervising or monitoring} using real traffic
- G06Q: INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- H04W: WIRELESS COMMUNICATION NETWORKS (broadcast communication H04H; communication systems using wireless links for non-selective communication, e.g. wireless extensions H04M1/72)

## Abstract

A method and a system to assist wireless telecom service providers to make strategic investment decisions in their wireless networks is provided. Geographical profitability information in a wireless network is determined to decide where to invest capital funds in order to increase the revenue and profit for wireless service providers. The profitability of a geographical area or a sector is calculated based on network Operation Measurements and subscriber CDR (Call Detail Record) data. The system prioritizes the geographical areas and sectors for capital investments based on the profitability of the areas and sites. Similar information may be determined to assist wireless service providers in developing a decommissioning strategy. Embodiments of the present invention may also be used to reduce network churn by understanding where dissatisfied subscribers experience poor service and where network investments need to be made to improve the services and reduce churn.

## Claims

### Claim 1

A method of determining an investment strategy for a plurality of coverage holes in a wireless network, each of the coverage holes indicating a respective area in which wireless service is not available, the method comprising:
identifying, using a computer system, the coverage holes in the wireless network;
determining, using the computer system, a respective revenue loss for each of the coverage holes, the respective revenue loss representing an amount of revenue that is being lost due to unavailability of the wireless service in a respective coverage hole;
determining, using the computer system, a plurality of BTS options for locating a BTS with respect to the coverage holes;
determining, using the computer system, a respective cost for each of the BTS options, the respective cost representing an expected cost of operating the BTS in accordance with a respective BTS option;
determining, using the computer system, a respective investment return value for each of the BTS options based at least in part on the respective cost for each of the BTS options and on the respective revenue loss for each of the coverage holes; and
determining one or more locations to deploy the BTS based at least in part on the respective investment return value for each of the BTS options.

### Claim 2 (depends on 1)

The method of claim 1, wherein identifying the plurality of coverage holes is based at least in part on dropped calls as indicated by call detail records (CDRs).

### Claim 3 (depends on 1)

The method of claim 1, wherein determining the revenue loss is performed in accordance with the equation:
Uk=Σi[Dik*AMOUi*UPMi]
wherein
k represents a coverage hole;
i represents a subscriber;
Dik is a number of monthly dropped calls by subscriber i at coverage hole k;
AMOUi is an average MOU per call of subscriber i;
UPMi is a revenue generated per minute by subscriber i; and
Uk is a revenue loss at coverage hole k.

### Claim 4 (depends on 1)

The method of claim 1, wherein determining the respective cost for each of the BTS options is performed at least in part by summing a monthly equipment cost, a site monthly leasing cost, and a monthly transport leasing cost.

### Claim 5 (depends on 1)

The method of claim 1, wherein determining the respective investment return value for each of the BTS options is performed at least in part by subtracting the respective cost from the respective revenue loss.

### Claim 6 (depends on 1)

The method of claim 1, wherein determining the one or more locations to deploy the BTS is performed at least in part by prioritizing the BTS options in order of the respective investment return value for each of the BTS options.

### Claim 7 (depends on 1)

The method of claim 1, wherein identifying the plurality of coverage holes is based at least in part on dropped calls as indicated by call detail records (CDRs); and
wherein determining the revenue loss is performed in accordance with the equation:
Uk=Σi[Dik*AMOUi*UPMi]
wherein
k represents a coverage hole;
i represents a subscriber;
Dik is a number of monthly dropped calls by subscriber i at coverage hole k;
AMOUi is an average MOU per call of subscriber i;
UPMi is a revenue generated per minute by subscriber i; and
Uk is a revenue loss at coverage hole k.

### Claim 8 (depends on 1)

The method of claim 1, wherein identifying the plurality of coverage holes is based at least in part on dropped calls as indicated by call detail records (CDRs); and
wherein determining the one or more locations to deploy the BTS is performed at least in part by prioritizing the BTS options in order of the respective investment return value for each of the BTS options.

### Claim 9

A computer program product for determining an investment strategy for a plurality of coverage holes in a wireless network, each of the coverage holes indicating a respective area in which wireless service is not available, the computer program product having a non-transitory storage medium with a computer program embodied thereon, the computer program product comprising:
computer program code for identifying the coverage holes in the wireless network;
computer program code for determining a respective revenue loss for each of the coverage holes, the respective revenue loss representing an amount of revenue that is being lost due to unavailability of wireless service in a respective coverage hole;
computer program code for determining a plurality of BTS options for locating a BTS with respect to the coverage holes;
computer program code for determining a respective cost for each of the BTS options, the respective cost representing an expected cost of operating the BTS in accordance with a respective BTS option;
computer program code for determining a respective investment return value for each of the BTS options based at least in part on the respective cost for each of the BTS options and on the respective revenue loss for each of the coverage holes; and
computer program code for determining one or more locations to deploy the BTS based at least in part on the respective investment return value for each of the BTS options.

### Claim 10 (depends on 9)

The computer program product of claim 9, wherein the computer program code for identifying the plurality of coverage holes is based at least in part on dropped calls as indicated by call detail records (CDRs).

### Claim 11 (depends on 9)

The computer program product of claim 9, wherein the computer program code for determining the revenue loss includes computer program code for performing the equation:
Uk=Σi[Dik*AMOUi*UPMi]
wherein
k represents a coverage hole;
i represents a subscriber;
Dik is a number of monthly dropped calls by subscriber i at coverage hole k;
AMOUi is an average MOU per call of subscriber i;
UPMi is a revenue generated per minute by subscriber i; and
Uk is a revenue loss at coverage hole k.

### Claim 12 (depends on 9)

The computer program product of claim 9, wherein the computer program code for determining the respective cost for each of the BTS options includes computer program code for summing a monthly equipment cost, a site monthly leasing cost, and a monthly transport leasing cost.

### Claim 13 (depends on 9)

The computer program product of claim 9, wherein the computer program code for determining the respective investment return value for each of the BTS options includes computer program code for subtracting the respective cost from the respective revenue loss.

### Claim 14 (depends on 9)

The computer program product of claim 9, wherein the computer program code for determining the one or more locations to deploy the BTS includes computer program code for prioritizing the BTS options in order of the respective investment return value for each of the BTS options.

### Claim 15 (depends on 1)

The computer program of claim 1, wherein the computer program code for identifying the plurality of coverage holes is based at least in part on dropped calls as indicated by call detail records (CDRs); and
wherein the computer program code for determining the revenue loss includes computer program code for performing the equation:
Uk=Σi[Dik*AMOUi*UPMi]
wherein
k represents a coverage hole;
i represents a subscriber;
Dik is a number of monthly dropped calls by subscriber i at coverage hole k;
AMOUi is an average MOU per call of subscriber i;
UPMi is a revenue generated per minute by subscriber i; and
Uk is a revenue loss at coverage hole k.

### Claim 16 (depends on 1)

The method of claim 1, wherein the computer program code for identifying the plurality of coverage holes is based at least in part on dropped calls as indicated by call detail records (CDRs); and
wherein the computer program code for determining the one or more locations to deploy the BTS includes computer program code for prioritizing the BTS options in order of the respective investment return value for each of the BTS options.

### Claim 17

A method of determining an investment strategy for a plurality of coverage holes in a wireless network, each of the coverage holes indicating a respective area in which wireless service is not available, the method comprising:
identifying, using a computer system, the coverage holes in the wireless network;
determining, using the computer system, a respective revenue loss for each of the coverage holes, the respective revenue loss representing an amount of revenue that is being lost due to unavailability of the wireless service in a respective coverage hole, wherein determining the revenue loss is performed in accordance with the equation:
Uk=Σi[Dik*AMOUi*UPMi]
wherein
k represents a coverage hole;
i represents a subscriber;
Dik is a number of monthly dropped calls by subscriber i at coverage hole k;
AMOUi is an average MOU per call of subscriber i;
UPMi is a revenue generated per minute by subscriber i; and
Uk is a revenue loss at coverage hole k;
determining, using the computer system, a plurality of BTS options for locating a BTS with respect to the coverage holes;
determining, using the computer system, a respective cost for each of the BTS options, the respective cost representing an expected cost of operating the BTS in accordance with a respective BTS option;
determining, using the computer system, a respective investment return value for each of the BTS options based at least in part on the respective cost for each of the BTS options and on the respective revenue loss for each of the coverage holes; and
determining one or more locations to deploy the BTS based at least in part on the respective investment return value for each of the BTS options, wherein determining the one or more locations to deploy the BTS is performed at least in part by prioritizing the BTS options in order of the respective investment return value for each of the BTS options.

### Claim 18 (depends on 17)

The method of claim 17, wherein identifying the plurality of coverage holes is based at least in part on dropped calls as indicated by call detail records (CDRs).

### Claim 19 (depends on 17)

The method of claim 17, wherein determining the respective cost for each of the BTS options is performed at least in part by summing a monthly equipment cost, a site monthly leasing cost, and a monthly transport leasing cost.

### Claim 20 (depends on 17)

The method of claim 17, wherein determining the respective investment return value for each of the BTS options is performed at least in part by subtracting the respective cost from the respective revenue loss.
