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Mitigating interference to maximize spectral efficiency in 3G/4G networks Sep 1, 2006 12:00 PM By John Thomas With the advent of data applications, interference is a challenge for wireless carriers. Consequently, mitigating interference to maximize spectral efficiency and improve network throughput is on the minds of operators and handset makers. This article describes an interference cancellation technology comprising an ASIC/core hardware and DSP-based software, which cancels interference from all traffic channels, and from all interfering sources for 2.5G, 3G and 4G networks. Technology evaluation
The company has proven its technology through comprehensive technology development, testing, and evaluation, consisting of simulations, laboratory testing and field validation. Figures 5-7 demonstrate the performance of ICT by documenting its impact on base station transmit power and file transfer speed. Laboratory tests were conducted to evaluate the prototype under various signal conditions, such as fading, multipath and hand-off, over a range of network loads from 0% to 75%. In the laboratory, test scenarios were specified with a pilot Ec/Io for each base station that depended on proximity to the handset, from the edge of the cell, where pilots were equal, to close-in, where the difference in pilot strengths was 6 dB. The forward-link traffic channel power gain ranged from 0 db to 4 dB. Figure 6 illustrates the forward traffic channel power reductions as a function of the cell loading, at three different pilot strengths. When pilot strength separation is medium to low, ICT provides significant gains that increase with % OCNS (orthogonal channel noise simulation). Drive tests were conducted on a major U.S. operator's CDMA2000 commercial network over an extended period at various times during the day and night. Tests were conducted simultaneously with two side-by-side prototypes comparing the network impact between a prototype with ICT enabled and another prototype with ICT disabled. In all cases, the critical metric recorded was the base station forward-link traffic channel power. The commercial test results of Figure 7 demonstrate a substantial reduction in forward link traffic channel power. Gains averaged 2.5 dB in a heavily loaded environment with peak gains of up to 6 dB. Laboratory tests of data throughput revealed a doubling of data rates for those handset prototypes enabled with ICT. As illustrated in Figure 8, a file transferred to an ICT-enabled prototype took half the time of a file transfer to a prototype with ICT disabled. This was further validated by the recorded data rate, which was doubled for the ICT prototype at a reduced data retransmission rate. Simulation evaluations of WCDMA versions (release 99 and HSDPA) have been completed and observed gains are comparable to CDMA2000 gains. Network modeling of these test results shows that the recaptured base station power can support greater than 40% more subscribers and make all future network capacity expenditures 40% more efficient. This gain can be realized and used in multiple ways: to increase higher data rates for data applications, support high traffic densities, provide better quality of service for voice applications, and reduce base station transmit power, leading to increased network capacity. This capacity relief allows the wireless operator to delay and reduce significant capital and network operational expenditures on expensive infrastructure and spectrum. Network modeling indicates that for a 20 M subscriber system, the realized savings would be more than one billion dollars in a five-year period. Summary
By adopting ICT, a wireless service operator can increase network capacity, accompanied by a substantial savings of capital expenditure. The ICT's patented approach delivers gains in power and spectral efficiency, thereby improving cell capacity, increased coverage, improved quality of service and increased data rates. Based on commercial network trials, this technology has proven to increase a CDMA wireless service operator's network capacity by greater than 40%, thus delaying and reducing the capital and spectrum expenditures required to support subscriber growth, increased minutes-of-use, expanded coverage, and increased data services. About the author
John Thomas is CEO and co-founder of TensorComm. Prior to founding TensorComm, Thomas co-founded Data Fusion Corp. Before co-founding Data Fusion, he was at NASA's Jet Propulsion Laboratory. Thomas earned a Ph.D in Electrical Engineering/Signal Processing from the Univeristy of Colorado at Boulder. |
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