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Smart networks: Traffic-management implementation and procurement

Informa Media and Telecom
September 1, 2011
SKU: INFM6575889

Abstract Table of Contents Related Reports

Summary

Smart networks: Traffic-management implementation and procurement strategies looks at the options open to operators when procuring OSS/BSS in support of monetizing next-generation data services. The report surveys operators’ intentions and preferences when procuring new systems and looks at practical implementations.

Overview

The main driver behind rolling out new services is the monetization of data traffic, a challenge that operators have hitherto found difficult to meet. The main drivers for upgrading OSS/BSS, however, are the ability to control and monitor usage in real time, along with the scalability and speed required to support new services, features that have never been as important as they are now.

Operators require “smart” networks, a term this report attempts to define, along with exploring how they might be brought into being. The key to building smart networks is to have highly efficient and closely integrated OSS and BSS platforms, but the majority of network operators say current OSS/BSS platforms are inadequate for supporting next-generation data services.

Many operators are in the process of upgrading their systems with elements such as policy control, real-time charging and traffic-control functions. This report looks at operators’ procurement intentions as they prepare for future service and infrastructure rollouts and the strategies vendors are adopting to meet the needs of their customers.

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Smart Networks: Traffic-management implementation and procurement Executive
Summary - PowerPoint file (16 slides)
Traffic management is well-established, but more work is required for data-service monetization: Fig. 1: Basic traffic management; Fig 2: 3GPP Gq interface architecture model; Fig. 3: Typical implementation of policy control
Operator OSS/BSS procurement strategies survey, 2011: Fig. 1: Are existing support systems adequate to support next-generation services?; Fig. 2: Top 20 OSS/BSS products by no. of contract awards, 2008-2010; Fig. 3: Have you bought or do you intend to buy any of the following systems?; Fig. 4: Do you intend to buy any of the following systems in the next 12 months?; Fig. 5: Top 20 OSS/BSS vendors by no. of publicly announced contracts, 2008-2010; Fig. 6: Pros and cons of operator procurement strategies; Fig. 7: What is your preferred strategy for procuring OSS/BSS systems?; Fig. 8: Respondents by company type; Fig. 9: Respondents by region; Fig. 10: Respondents by area of responsibility
Policy-based traffic management could provide savings of more than US$1 billion for a greenfield LTE network: Fig. 1: US, proportion of land area by geotype, Jul-11; Fig. 2: US, proportion of population by geotype, Jul-11; Fig. 3: Subscription count of modeled operator by device type, 2011-2016; Fig. 4: Downlink traffic on network of modeled operator by device type, 2011-2016; Fig. 5: Cost assumptions for network elements of modeled operator; Fig. 6: Policy-engine assumptions for modeled operator; Fig. 7: Total downlink traffic for modeled operator with and without hard policy, 2011-2016; Fig. 8: Annual opex savings from implementing hard policy, by geotype, 2013-2016; Fig. 9: Cumulative traffic and opex savings from implementing hard policy, by user model, 2011-2016
Case study: Zain Kuwait’s use of Redknee real-time charging software: Fig. 1: Zain Kuwait’s OSS/BSS contract awards, 2008-2011; Fig. 2: Zain Kuwait's Surf for Longer tariff; Fig. 3: Zain Kuwait's Surf Faster tariff; Fig. 4: Kuwait, mobile broadband subscriptions (HSPA), 1Q10-1Q11; Fig. 5: Zain Kuwait SWOT
Smart network developments’ impact on OSS/BSS vendor strategies: Fig. 1: Top policy-control vendors, 1Q08 to end-2Q11; Fig 2: Top subscriber-data-management vendors, 1Q08 to end-2Q11; Fig. 3: Selected acquisitions, 2008-2011

Smart networks: Traffic-management implementation and procurement

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