<abstract xml:lang="en" xmlns="http://www.w3.org/1999/xhtml"><p>Optimal finger placement improves significantly the performance of RAKE receivers. However, due to its high complexity, it is rarely applied in mobile systems with large channel spread. In this paper, we evaluate the merits of suboptimal finger allocation in terms of performance and complexity. A subset of the RAKE fingers is optimally positioned based on the received signal correlation properties while the rest of them are uniformly distributed within the channel spread. The tradeoffs between performance and complexity of the method are discussed. Results show that optimizing half finger positions lead to similar performance with the full optimization scheme. Finally, comparisons with conventional and optimal receivers exhibit the advantages of the method.</p></abstract>

Optimal finger placement improves significantly the performance of RAKE receivers. However, due to its high complexity, it is rarely applied in mobile systems with large channel spread. In this paper, we evaluate the merits of suboptimal finger allocation in terms of performance and complexity. A subset of the RAKE fingers is optimally positioned based on the received signal correlation properties while the rest of them are uniformly distributed within the channel spread. The tradeoffs between performance and complexity of the method are discussed. Results show that optimizing half finger positions lead to similar performance with the full optimization scheme. Finally, comparisons with conventional and optimal receivers exhibit the advantages of the method.

Suboptimal Rake Finger Allocation: Performance and Complexity Tradeoffs

RadioCommunications Laboratory, Section of Applied and Environmental Physics, Department of Physics, Aristotle University of Thessaloniki, Thessaloniki, Greece

Journal of Electrical Engineering

{"article-title":"Suboptimal Rake Finger Allocation: Performance and Complexity Tradeoffs"}

Optimal finger placement improves significantly the performance of RAKE receivers. However, due to its high complexity, it is rarely applied in mobile systems...

Suboptimal Rake Finger Allocation: Performance and Complexity Tradeoffs

Published Online: Jun 07, 2011

Page range: 107 - 113

DOI: https://doi.org/10.2478/v10187-010-0015-6

Keywords
spread spectrum communication, RAKE receiver, correlation, optimization methods, wideband channel

This content is open access.

Suboptimal Rake Finger Allocation: Performance and Complexity Tradeoffs

Published Online: Jun 07, 2011

Page range: 107 - 113

DOI: https://doi.org/10.2478/v10187-010-0015-6

Keywordsspread spectrum communication, RAKE receiver, correlation, optimization methods, wideband channel

This content is open access.

Keywords
spread spectrum communication, RAKE receiver, correlation, optimization methods, wideband channel