Abstract
scheme for a lower signal-to-noise ratio.
| Language | English |
|---|---|
| Pages | 72-81 |
| Number of pages | 10 |
| Journal | IEEE Transactions on Vehicular Technology |
| Volume | 63 |
| Issue number | 1 |
| Early online date | 8 Jul 2013 |
| DOIs | |
| Publication status | Published - 1 Jan 2014 |
| Externally published | Yes |
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Compression and Combining Based on Channel Shortening and Reduced-Rank Techniques for Cooperative Wireless Sensor Networks. / Ahmed, Qasim; Park, Kihong ; Alouini, Mohamed-Slim; Aissa, Sonia.
In: IEEE Transactions on Vehicular Technology, Vol. 63, No. 1, 01.01.2014, p. 72-81.Research output: Contribution to journal › Article
TY - JOUR
T1 - Compression and Combining Based on Channel Shortening and Reduced-Rank Techniques for Cooperative Wireless Sensor Networks
AU - Ahmed, Qasim
AU - Park, Kihong
AU - Alouini, Mohamed-Slim
AU - Aissa, Sonia
PY - 2014/1/1
Y1 - 2014/1/1
N2 - This paper investigates and compares the performance of wireless sensor networks where sensors operate on the principles of cooperative communications. We consider a scenario where the source transmits signals to the destination with the help of L sensors. As the destination has the capacity of processing only U out of these L signals, the strongest U signals are selected, while the remaining (L–U) signals are suppressed. A preprocessing block similar to channel shortening (CS) is proposed in this paper. However, this preprocessing block employs a rank-reduction technique instead of CS. By employing this preprocessing, we are able to decrease the computational complexity of the system without affecting the bit-error-rate (BER) performance. From our simulations, it can be shown that these schemes outperform the CS schemes in terms of computational complexity. In addition, the proposed schemes have a superior BER performance as compared with CS schemes when sensors employ fixed-gain amplification. However, for sensors that employ variable-gain amplification, a tradeoff exists in terms of BER performance between the CS scheme and these schemes. These schemes outperform the CSscheme for a lower signal-to-noise ratio.
AB - This paper investigates and compares the performance of wireless sensor networks where sensors operate on the principles of cooperative communications. We consider a scenario where the source transmits signals to the destination with the help of L sensors. As the destination has the capacity of processing only U out of these L signals, the strongest U signals are selected, while the remaining (L–U) signals are suppressed. A preprocessing block similar to channel shortening (CS) is proposed in this paper. However, this preprocessing block employs a rank-reduction technique instead of CS. By employing this preprocessing, we are able to decrease the computational complexity of the system without affecting the bit-error-rate (BER) performance. From our simulations, it can be shown that these schemes outperform the CS schemes in terms of computational complexity. In addition, the proposed schemes have a superior BER performance as compared with CS schemes when sensors employ fixed-gain amplification. However, for sensors that employ variable-gain amplification, a tradeoff exists in terms of BER performance between the CS scheme and these schemes. These schemes outperform the CSscheme for a lower signal-to-noise ratio.
KW - channel shortening (CS)
KW - cooperative communications
KW - reduced-rank techniques
KW - selection combining
U2 - 10.1109/TVT.2013.2272061
DO - 10.1109/TVT.2013.2272061
M3 - Article
VL - 63
SP - 72
EP - 81
JO - IEEE Transactions on Vehicular Technology
T2 - IEEE Transactions on Vehicular Technology
JF - IEEE Transactions on Vehicular Technology
SN - 0018-9545
IS - 1
ER -