Channel Estimation Algorithms for OFDM-IDMA: Complexity and Performance
(2012) In IEEE Transactions on Wireless Communications 11(5). p.1722-1732- Abstract
- Abstract in Undetermined
In this paper, a number of channel estimation algorithms for iterative receivers are compared for the case of an up-link orthogonal frequency division multiplexing interleave division multiple access (OFDM-IDMA) system. Both pilot based algorithms, used to obtain an initial estimate, as well as semi-blind decision-directed algorithms working as a component of the iterative receiver are considered. Algorithms performing either joint minimum mean square error (MMSE) channel estimation, or iterative estimation using space-alternating expectation maximization (SAGE), are evaluated. The considered algorithms differ in terms of complexity, as well as performance. The main contribution of this paper is to give an... (More) - Abstract in Undetermined
In this paper, a number of channel estimation algorithms for iterative receivers are compared for the case of an up-link orthogonal frequency division multiplexing interleave division multiple access (OFDM-IDMA) system. Both pilot based algorithms, used to obtain an initial estimate, as well as semi-blind decision-directed algorithms working as a component of the iterative receiver are considered. Algorithms performing either joint minimum mean square error (MMSE) channel estimation, or iterative estimation using space-alternating expectation maximization (SAGE), are evaluated. The considered algorithms differ in terms of complexity, as well as performance. The main contribution of this paper is to give an overview of different channel estimation approaches for OFDM-IDMA, where the complexity versus performance tradeoff is at the focal point. There is no single channel estimator providing the best tradeoff and our analysis shows how the system load (number of users) and the SNR influence the estimator choice. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/2293947
- author
- Hammarberg, Peter LU ; Rusek, Fredrik LU and Edfors, Ove LU
- organization
- publishing date
- 2012
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- discrete prolate spheroidal (DPS) sequences, SAGE, maximization (EM), expectation, algorithm complexity, Channel estimation, OFDM-IDMA
- in
- IEEE Transactions on Wireless Communications
- volume
- 11
- issue
- 5
- pages
- 1722 - 1732
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- external identifiers
-
- wos:000304242200011
- scopus:84861458248
- ISSN
- 1536-1276
- DOI
- 10.1109/TWC.2012.030512.110426
- language
- English
- LU publication?
- yes
- id
- 4719fbfd-261c-403c-a1bd-6c5892ee6b90 (old id 2293947)
- date added to LUP
- 2016-04-01 13:42:09
- date last changed
- 2024-03-13 16:20:26
@article{4719fbfd-261c-403c-a1bd-6c5892ee6b90, abstract = {{Abstract in Undetermined<br/>In this paper, a number of channel estimation algorithms for iterative receivers are compared for the case of an up-link orthogonal frequency division multiplexing interleave division multiple access (OFDM-IDMA) system. Both pilot based algorithms, used to obtain an initial estimate, as well as semi-blind decision-directed algorithms working as a component of the iterative receiver are considered. Algorithms performing either joint minimum mean square error (MMSE) channel estimation, or iterative estimation using space-alternating expectation maximization (SAGE), are evaluated. The considered algorithms differ in terms of complexity, as well as performance. The main contribution of this paper is to give an overview of different channel estimation approaches for OFDM-IDMA, where the complexity versus performance tradeoff is at the focal point. There is no single channel estimator providing the best tradeoff and our analysis shows how the system load (number of users) and the SNR influence the estimator choice.}}, author = {{Hammarberg, Peter and Rusek, Fredrik and Edfors, Ove}}, issn = {{1536-1276}}, keywords = {{discrete prolate spheroidal (DPS) sequences; SAGE; maximization (EM); expectation; algorithm complexity; Channel estimation; OFDM-IDMA}}, language = {{eng}}, number = {{5}}, pages = {{1722--1732}}, publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}}, series = {{IEEE Transactions on Wireless Communications}}, title = {{Channel Estimation Algorithms for OFDM-IDMA: Complexity and Performance}}, url = {{http://dx.doi.org/10.1109/TWC.2012.030512.110426}}, doi = {{10.1109/TWC.2012.030512.110426}}, volume = {{11}}, year = {{2012}}, }