Interference continues to challenge wireless operators, and identifying the sources is a big challenge. In an effort to address this issue, TensorComm Inc., a developer of spectral efficiency solutions, has unwrapped its interference cancellation analysis tool (ICAT), a platform for analyzing interference on wireless networks. By collecting data from many commercial networks around the world, the company has demonstrated that a high level of structured interference exists on CDMA and WCDMA networks.  These analyses help wireless operators to diagnose their network conditions and assess the financial and service benefits of interference cancellation.  

TensorComm's ICAT detects the sources of interference on the network, identifies the power of voice and data traffic channels for each source and estimates channel conditions, which in turn enables it to demonstrate interference cancellation technology’s (ICT's) ability to cancel interference and improve signal quality.

In addition, the developer has announced the launch of its program to work cooperatively with wireless operators in analyzing and enhancing existing networks to improve service levels and spectral efficiency for end-users. 

"As this activity illustrates, our momentum has never been greater," said John Thomas, TensorComm's founder and CEO. "We continue to add new capabilities to address the interference issues which are prevalent in wireless networks.  Our engineering teams continue to innovate and implement receiver technologies for interference cancellation."

"Interference cancellation is the most advanced technology for improving data rates and voice quality in interference-limited wireless networks," said Louis Scharf, chief scientist of TensorComm. "Moreover, the technology applies to single- and multiple-antenna receivers, on the up- or downlink.  It extends to LTE where MIMO and advanced transmitters force receivers to implement complex algorithms for demodulating and decoding high-rate transmissions," added Scharf. 

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