Equalization concepts for EDGE

TitleEqualization concepts for EDGE
Publication TypeJournal Article
Year of Publication2002
AuthorsGerstacker, W. H., and R. Schober
JournalWireless Communications, IEEE Transactions on
Volume1
Pagination190 -199
Date Publishedjan.
ISSN1536-1276
Keywordsadditive white Gaussian noise channel, AWGN channel, AWGN channels, BER approximations, bit error rate, cellular radio, channel coding, channel estimation, channel profiles, computational complexity, DDFSE, decision feedback equalisers, delayed decision-feedback sequence estimation, discrete time filters, discrete-time prefilter, EDGE, Enhanced Data Rates for GSM Evolution, equalization concepts, error statistics, Global System for Mobile Communications, GSM receivers, high-level modulation, performance degradation, radio access networks, radio access scheme, radio receivers, receiver input filter, reduced-state sequence estimation, RSSE, sequential estimation, simulation results, suboptimum equalization, system performance, transient response
Abstract

An equalization concept for the novel radio access scheme Enhanced Data rates for GSM Evolution (EDGE) is proposed by which high performance can be obtained at moderate computational complexity. Because high-level modulation is employed in EDGE, optimum equalization as usually performed in Global System for Mobile Communications (GSM) receivers is too complex and suboptimum schemes have to be considered. It is shown that delayed decision-feedback sequence estimation (DDFSE) and reduced-state sequence estimation (RSSE) are promising candidates. For various channel profiles, approximations for the bit error rate of these suboptimum equalization techniques are given and compared with simulation results for DDFSE. It turns out that a discrete-time prefilter creating a minimum-phase overall impulse response is indispensable for a favorable tradeoff between performance and complexity. Additionally, the influence of channel estimation and of the receiver input filter is investigated and the reasons for performance degradation compared to the additive white Gaussian noise channel are indicated. Finally, the overall system performance attainable with the proposed equalization concept is determined for transmission with channel coding

URLhttp://dx.doi.org/10.1109/7693.975457
DOI10.1109/7693.975457

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