Abstract
An Iterative Detection and Decoding (IDD) scheme in a high-order Multiple-Input Multiple-Output (MIMO) wireless communication system requires a heavy computational complexity for an outstanding Bit Error Rate (BER) performance in a given Signal-to-Noise Ratio (SNR) environment. A new computational complexity reducing IDD scheme designed with optimum parameters is proposed in this paper to guarantee Quality of Service (QoS) without the loss of BER performance. There are three parameters to control the trade-off between computational complexity and BER performance of an IDD scheme: a candidate list size of Dynamic List Sphere Detector (D-LSD), a number of intra-iteration of Turbo decoder, and a number of IDD iteration. A complexity reduction of about 70 % is demonstrated in this study, when the target BER is around 1.0×10(-4) at Eb/N0=7dB in the case of a 4 × 4 MIMO system with 16-ary Quadrature Amplitude Modulation (QAM).
| Original language | English |
|---|---|
| Article number | 6517355 |
| Pages (from-to) | 1313-1316 |
| Number of pages | 4 |
| Journal | IEEE Communications Letters |
| Volume | 17 |
| Issue number | 7 |
| DOIs | |
| Publication status | Published - 2013 May 22 |
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Keywords
- Computational complexity
- Dynamic List Sphere Detector (D-LSD)
- Extrinsic Information Transfer (EXIT) chart
- Iterative Detection and Decoding (IDD) receiver
- Multiple-Input Multiple-Output (MIMO)
- Quality of Service (QoS)
- target Bit Error Rate (BER)
ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Computer Science Applications
- Modelling and Simulation
Cite this
New computational complexity reducing IDD scheme designed with optimum parameters. / Cho, Jehoon; Kim, Minsung; Jeong, Sinsung; Park, Jung ho; Oh, Tae Won.
In: IEEE Communications Letters, Vol. 17, No. 7, 6517355, 22.05.2013, p. 1313-1316.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - New computational complexity reducing IDD scheme designed with optimum parameters
AU - Cho, Jehoon
AU - Kim, Minsung
AU - Jeong, Sinsung
AU - Park, Jung ho
AU - Oh, Tae Won
PY - 2013/5/22
Y1 - 2013/5/22
N2 - An Iterative Detection and Decoding (IDD) scheme in a high-order Multiple-Input Multiple-Output (MIMO) wireless communication system requires a heavy computational complexity for an outstanding Bit Error Rate (BER) performance in a given Signal-to-Noise Ratio (SNR) environment. A new computational complexity reducing IDD scheme designed with optimum parameters is proposed in this paper to guarantee Quality of Service (QoS) without the loss of BER performance. There are three parameters to control the trade-off between computational complexity and BER performance of an IDD scheme: a candidate list size of Dynamic List Sphere Detector (D-LSD), a number of intra-iteration of Turbo decoder, and a number of IDD iteration. A complexity reduction of about 70 % is demonstrated in this study, when the target BER is around 1.0×10(-4) at Eb/N0=7dB in the case of a 4 × 4 MIMO system with 16-ary Quadrature Amplitude Modulation (QAM).
AB - An Iterative Detection and Decoding (IDD) scheme in a high-order Multiple-Input Multiple-Output (MIMO) wireless communication system requires a heavy computational complexity for an outstanding Bit Error Rate (BER) performance in a given Signal-to-Noise Ratio (SNR) environment. A new computational complexity reducing IDD scheme designed with optimum parameters is proposed in this paper to guarantee Quality of Service (QoS) without the loss of BER performance. There are three parameters to control the trade-off between computational complexity and BER performance of an IDD scheme: a candidate list size of Dynamic List Sphere Detector (D-LSD), a number of intra-iteration of Turbo decoder, and a number of IDD iteration. A complexity reduction of about 70 % is demonstrated in this study, when the target BER is around 1.0×10(-4) at Eb/N0=7dB in the case of a 4 × 4 MIMO system with 16-ary Quadrature Amplitude Modulation (QAM).
KW - Computational complexity
KW - Dynamic List Sphere Detector (D-LSD)
KW - Extrinsic Information Transfer (EXIT) chart
KW - Iterative Detection and Decoding (IDD) receiver
KW - Multiple-Input Multiple-Output (MIMO)
KW - Quality of Service (QoS)
KW - target Bit Error Rate (BER)
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U2 - 10.1109/LCOMM.2013.051313.130663
DO - 10.1109/LCOMM.2013.051313.130663
M3 - Article
AN - SCOPUS:84881104449
VL - 17
SP - 1313
EP - 1316
JO - IEEE Communications Letters
JF - IEEE Communications Letters
SN - 1089-7798
IS - 7
M1 - 6517355
ER -