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Telekom Malaysia - Huawei

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Data service & operational<br />

challenges<br />

Shandong is an economically developed<br />

coastal province; its mobile market has<br />

grown steadily over recent years, but this<br />

growth has brought greater demand for<br />

data services. These services have become the<br />

battleground where operators compete for newly<br />

added subscribers and cultivate new revenue streams.<br />

China Unicom Shandong (Shandong Unicom)<br />

has committed to this battle wholeheartedly. It<br />

has carried out intensive marketing campaigns<br />

under its own brand (Wo) and committed a<br />

variety of other resources to furthering its data<br />

service competitiveness. Its efforts have paid off<br />

handsomely; its 2010 3G subscriber additions were<br />

double what they were in 2009, while 3G revenue<br />

jumped twelve fold. However, all this new business<br />

was straining its infrastructure and outpacing its<br />

O&M practices.<br />

Shandong Unicom had trouble comparing<br />

and managing service quality between different<br />

hotspots; user perceptions were hard to quantify,<br />

leading to lapses in quality control. A long E2E<br />

service chain for mobile data; service diversity and<br />

complexity; as well as varied assessment criteria for<br />

service quality and user perception, all added to<br />

their O&M management difficulties.<br />

Subscriber data is also generally difficult to<br />

access, making it difficult to identify and evaluate<br />

data services. Currently, evaluation is performed<br />

primarily through drive testing (DT) and call<br />

quality testing (CQT), which are often performed<br />

after complaints have been filed. While these tests<br />

are suitable for finding dead spots in coverage,<br />

they typically cannot isolate the fluid conditions<br />

and traffic surges that often lead to disruptions in<br />

today’s networks; they cannot paint a big picture of<br />

what is happening on the network.<br />

What’s more, even with network key performance<br />

indicators (KPIs), user perceptions often remain<br />

unclear. A core network’s put-through/call-through<br />

rate and wireless call drop rate are both indicators of<br />

network performance, but they do not reveal what<br />

the user is hearing or experiencing.<br />

Perception-based<br />

optimization<br />

Shandong Unicom partnered with <strong>Huawei</strong> to<br />

explore user perceptions in depth. It has put into<br />

place a QoS evaluation system meant to reflect<br />

user perceptions. It has analyzed factors that affect<br />

service quality throughout the connection process<br />

and identified differences between terminals in<br />

the provision of various services. This system has<br />

enabled Shandong Unicom to carry out acrossthe-board<br />

optimization at the network, service<br />

platform, and device levels, which has led to<br />

improved 3G operations and happier customers.<br />

User perception indicators<br />

Shandong Unicom has put into place a correlation<br />

system for QoE, KQI and KPI, where real-world<br />

service perceptions are quantified and used to<br />

determine other relevant factors. It has established a<br />

model for QoE, KQIs, and KPIs for certain services<br />

and defined a five-level scale for QoE evaluation<br />

ranging from very satisfied to very unsatisfied; then<br />

DEC 2011<br />

40

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