Subscribers today expect to be connected at all times with exceptional service quality. For communication service providers operating in urban environments, multi-dwelling units (MDUs) are a big cause for concern.
Delivering consistently high WiFi service quality in high-density environments is a challenge. The sheer number of nearby access points, electronics, and outside influences can result in a host of WiFi service quality issues that are difficult to diagnose without visibility into the customer premises. Issues affecting WiFi service quality in MDUs may include:
These issues are becoming more prevalent with the increasing global dependence on wireless devices and the Internet of Things. Research from Intel predicts that 200 billion wireless devices will be in use by 2020, highlighting the importance of residential WiFi. Rightly or wrongly, if something interrupts a customer’s home WiFi service, the customer is likely to blame the service provider — or at least expect the provider to fix the problem. How can you guarantee a high quality of experience for your MDU subscribers when you can’t see or control the factors influencing their WiFi service?
A number of operators and vendors are working towards adding control to the subscriber Wi-Fi network which has sparked interest in extending self organizing network (SON) and radio resource management (RRM) techniques to residential consumer Wi-Fi. For instance, 802.11k with 802.11r RRM and Fast Transition capabilities are being exposed in some of the most recent advanced DOCSIS Wi-Fi access points.
Vendors, operators, and standards teams have been working collectively to expand the scope of available data models in remote management. These include the family of TR-069 standards as well as vendor-specific methods implemented more frequently through disruptive and highly-scalable cloud architectures.
Combining each of these trends begins to form an image of a future for residential Wi-Fi with more addressable spectrum. The result is more available bandwidth and a more efficient Wi-Fi network — one that is supportive of massive IoT demands, and a more intelligent Wi-Fi network moving from provisioning into trending and onto autonomous quality and policy capability.
The table below outlines the data available for QoE management of WiFi Access Points via TR-069.
|Local Access Point||Surrounding WiFi||Connected Devices in the Subscriber Network|
|(B) SSID||(B) SSID||MAC|
|Hardware information e.g. number of radios, supported bands, supported channels||MODE||DHCP Lease Info|
|RPI histogram||Channel, Bandwidth||RSSI|
|Bytes or packets sent/received/errors/discarded||RSSI, Noise||Bytes sent/received/errors/discarded|
|Security/encryption mode||Security/encryption mode||Number of re-transmissions|
|Basic and supported data transfer rates||Basic and supported data transfer rates|