Abstract:
A traffic load can be determined in a telecommunications system using narrowband signal monitoring. Narrowband signals can be generated from a wideband uplink signal. A resource utilization profile can be estimated for a remote unit based on measured power profiles associated with the narrowband signals. Traffic load can be determined based on the resource utilization profile.
Abstract:
A traffic load can be determined in a telecommunications system using narrowband signal monitoring. Narrowband signals can be generated from a wideband uplink signal. A resource utilization profile can be estimated for a remote unit based on measured power profiles associated with the narrowband signals. Traffic load can be determined based on the resource utilization profile.
Abstract:
Certain features relate to optimizing network resources in a distributed antenna system to minimize signal interference between remote units in the distributed antenna system. A remote unit is configured to measure an isolation level with another remote unit. Based on the measured isolation level, a self-optimizing network entity can instruct base transceiver stations to partition network resources such that remote units with isolation levels lower than an isolation threshold value radiate signals using different network resources. Remote units that have isolation levels higher than an isolation threshold value can radiate signals using the same network resources. By repeating the process across multiple remote units across multiple cell-sites, signal interference between adjacent remote units in the distributed antenna system can be minimized.
Abstract:
Certain features relate to systems and methods for optimizing the radio frequency characteristics of signals transmitted between a radio base station (RBS) and a distributed antenna system (DAS). A self-optimizing network (SON) entity can determine adjustments to radio frequency operations and management parameters at the RBS based on radio frequency parameters measured by a measurement and configuration module at the DAS. Adjustments to radio frequency operations and management parameters can include adjustments configured to compensate for signal latency caused by the DAS. Adjustments to radio frequency operations and management parameters can also include adjustments to signal gain due to noise rise caused by the DAS. The SON entity can also measure nominal receive power levels for the RBS for purposes of open loop power control.
Abstract:
Certain features relate to systems and methods for planning and optimizing a distributed antenna system (“DAS”) based on measurements taken from the radio environment surrounding the DAS. An operation and management system can determine a mapping of external cells based on measurements of downlink signals taken by a measurement subsystem. The operation and management system can determine a mapping of internal cells as well as a neighboring cell relation table. The DAS element management system or network operator can configure the DAS based on the mapping of external cells, mapping of internal cells, and the cell relation table. Additionally, based on neighboring cell signal power measurements taken by user devices, the a common interface between the DAS and the radio access network can determine a radio environment map estimating positions of the user devices connected to the DAS.
Abstract:
A traffic load can be determined in a telecommunications system using narrowband signal monitoring. Narrowband signals can be generated from a wideband uplink signal. A resource utilization profile can be estimated for a remote unit based on measured power profiles associated with the narrowband signals. Traffic load can be determined based on the resource utilization profile.
Abstract:
Certain features relate to systems and methods for jointly optimizing a radio access network (RAN) and distributed antenna system (DAS). A joint RAN-DAS self-optimizing network (SON) entity can determine target operations and management parameters based on operations and management parameters specific to the DAS and operations and management parameters specific to the RAN. The joint RAN-DAS-SON entity can optimize the RAN and DAS using the target operations and management parameters. Jointly optimizing the RAN and the DAS can improve the capacity characteristics, coverage characteristics, or the performance characteristics of the RAN and DAS. In some aspects, the joint RAN-DAS-SON entity can optimize the RAN and DAS by re-allocating power levels of downlink signals transmitted by remote units of the DAS to compensate for underutilized carrier signals in situations of low traffic load.