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Waveform domain framework for capacity analysis of uplink WCDMA systems
KTH, School of Electrical Engineering (EES).ORCID iD: 0000-0001-7421-0113
KTH, School of Electrical Engineering (EES), Communication Theory.ORCID iD: 0000-0002-0036-9049
KTH, School of Electrical Engineering (EES), Communication Theory.ORCID iD: 0000-0002-7926-5081
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2015 (English)In: EURASIP Journal on Wireless Communications and Networking, ISSN 1687-1472, E-ISSN 1687-1499, 253Article in journal (Refereed) PublishedText
Abstract [en]

This paper investigates the capacity limit of an uplink WCDMA system considering a continuous-time waveform signal. Various realistic assumptions are incorporated into the problem, which make the study valuable for performance assessment of real cellular networks to identify potentials for performance improvements in practical receiver designs. An equivalent discrete-time channel model is derived based on sufficient statistics for optimal decoding of the transmitted messages. The capacity regions are then characterized using the equivalent channel considering both finite constellation and Gaussian distributed input signals. The capacity with sampling at the receiver is also provided to exemplify the performance loss due to a typical post-processing at the receiver. Moreover, we analyze the asymptotic capacity when the signal-to-noise ratio goes to infinity. The conditions to simultaneously achieve the individual capacities are derived, which reveal the impacts of signature waveform space, channel frequency selectivity and signal constellation on the system performance.

Place, publisher, year, edition, pages
Springer, 2015. 253
Keyword [en]
Uplink WCDMA, Capacity analysis, Continuous-time, Waveform domain, Time-variant spreading, Sampling, Finite constellation
National Category
URN: urn:nbn:se:kth:diva-180224DOI: 10.1186/s13638-015-0480-5ISI: 000365807800002ScopusID: 2-s2.0-84949217864OAI: diva2:895410

QC 20160119

Available from: 2016-01-19 Created: 2016-01-08 Last updated: 2016-01-19Bibliographically approved

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Do, Tan TaiOechtering, Tobias J.Skoglund, Mikael
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School of Electrical Engineering (EES)Communication Theory
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