Abstract
A simple approach for adaptive interference suppression for the downlink (base-to-mobile link) of a direct sequence (DS) based cellular communication system is presented. The base station transmits the sum of the signals destined for the different mobiles, typically attempting to avoid intra-cell interference by employing orthogonal spreading sequences for different mobiles. However, the signal reaching any given mobile passes through a dispersive channel, thus destroying the orthogonality. In this paper, we propose an adaptive linear equalizer at the mobile that reduces interference by approximately restoring orthogonality. The adaptive equalizer uses the pilot’s spreading sequence (which observes the same channel as the spreading sequence for the desired mobile) as training. Simulation results for the linear Minimum Mean Squared Error (MMSE) equalizer are presented, demonstrating substantial performance gains over the RAKE receiver. Long spreading sequences (which vary from symbol to symbol) are employed, so that the equalizer adapts not to the time-varying spreading sequences, but to the slowly varying downlink channel. Since the inter-cell interference from any other base station also has the structure of many superposed signals passing through a single channel, the adaptive equalizer can also suppress inter-cell interference, with the tradeoff between suppression of intra- and inter-cell interference and noise enhancement depending on their impact on the Mean Squared Error (MSE).
The work of U. Madhow was supported in part by the National Science Foundation under grant NCR96-24008 (CAREER) and by the Army Research Office under grant DAAD19-00-1-0567.
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© 2002 Kluwer Academic Publishers
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Frank, C.D., Visotsky, E., Madhow, U. (2002). Adaptive Interference Suppression for the Downlink of a Direct Sequence CDMA System with Long Spreading Sequences. In: Poor, H.V., Tong, L. (eds) Signal Processing for Wireless Communication Systems. Information Technology: Transmission, Processing and Storage. Springer, Boston, MA. https://doi.org/10.1007/0-306-47322-4_17
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DOI: https://doi.org/10.1007/0-306-47322-4_17
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