Efficient adaptive transmission technique for LDPC coded OFDM cellular systems using multiple antennas

Kim, K.S.; Kim, Y.H.; Ahn, Jae‐Young

doi:10.1049/el:20040159

Cited by 9 publications

(11 citation statements)

References 4 publications

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“…We evaluate the performance of the OFDMA-CDM with variable PRA using the system parameters of the HMm testbed developed by ETRI, Korea, for 4G mobile systems [2], [9]: the system bandwidth is 20 MHz, the FFT size is 2048, and the OFDM data duration is 100 μs. The frame parameters are given by N t = 8, K f = 1756, F p = 220, L p = 2200, D = 12, F = 128, and L = 1024.…”

Section: Simulation Resultsmentioning

confidence: 99%

“…The diversity mode of OFDMA (called OFDMA in the sequel) also exploits frequency diversity in the SCH through channel coding [3], [9], [10]. In the single user case, MC-CDMA exploiting symbol-level diversity could provide a lower bit Manuscript error rate (BER) than OFDMA [8] and could predict the link performance for adaptive transmission with a more simple channel quality indication (CQI) [11].…”

Section: Introductionmentioning

confidence: 99%

“…Section II describes an adaptive OFDMA-CDM system using lowdensity parity-check (LDPC) codes [9], [10] and quadrature amplitude modulation (QAM). From the analysis on the MMSEC SNR in Section III, we propose two PRA methods meeting the target performance in Section IV.…”

Section: Introductionmentioning

confidence: 99%

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Variable power and rate allocation using simple CQI for multiuser OFDMA-CDM systems

Kim

2009

IEEE Trans. Wireless Commun.

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This paper presents variable power and rate allocation (PRA) for a multiuser orthogonal frequency division multiple access code division multiplexing (OFDMA-CDM) system which exploits both orthogonality among users and symbol-level diversity. To predict the link performance, we analyze the postprocessing SNR as the transmit power (TP) varies when the minimum mean square error combiner (MMSEC) is employed. It is shown from analysis that the MMSEC SNR is nonlinear in TP, but is bounded by the harmonic and the arithmetic means of the subcarrier SNRs. From the observation, we propose two variable PRA methods using a simple channel quality indication and a required TP estimation method. Simulation results show that the proposed methods not only guarantee the target performance but also increase the throughput at the same or slightly increased feedback overhead compared with the fixed TP allocation case.Index Terms-OFDMA, code division multiplexing, link adaptation, power and rate allocation, MMSE receiver.

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Section: Simulation Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Variable power and rate allocation using simple CQI for multiuser OFDMA-CDM systems

Kim

2009

IEEE Trans. Wireless Commun.

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“…The low density parity check (LDPC) codes are a class of error control codes which have demonstrated impressive error correcting qualities [4]. In the existed MIMO-OFDM system, it requires large cost to get perfect channel state information (CSI) of all the sub-carriers for transmitter [5]. In this paper, an adaptive MIMO-OFDM transmission system based on the knowledge of partial CSI is presented using MQAM and LDPC code.…”

Section: Introductionmentioning

confidence: 99%

An Adaptive LDPC-coded MIMO-OFDM System with Partial Channel State Information

Huang

Zhou

2007

2007 Second International Conference on Communications and Networking in China

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An adaptive transmission scheme of MIMO-OFDM system based on MQAM and LDPC code is proposed. An transmit optimization algorithm to obtain an bit and power allocation is used which selects the MCS requiring only the mean and variance assuming the received LLR distrbution as Gaussian. Simulation results show the performance of the proposed scheme is up to about 3dB better than other transmission schemes at the expense ofa few bits in the feedback information.

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“…The low-density parity-check code (LDPC) is applied in this scheme for its much attention paid in the field of coding theory recently. [1][4] [5]. Figure 1 shows the schematic of the LDPC-based MIMO OFDM system.…”

Section: Introductionmentioning

confidence: 99%

An Adaptive LDPC-Coded MIMO-OFDM System Based on Statistical Channel State Information

Zhou

Zhang

et al. 2007

2007 International Conference on Wireless Communications, Networking and Mobile Computing

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Efficient adaptive transmission technique for LDPC coded OFDM cellular systems using multiple antennas

Cited by 9 publications

References 4 publications

Variable power and rate allocation using simple CQI for multiuser OFDMA-CDM systems

Variable power and rate allocation using simple CQI for multiuser OFDMA-CDM systems

An Adaptive LDPC-coded MIMO-OFDM System with Partial Channel State Information

An Adaptive LDPC-Coded MIMO-OFDM System Based on Statistical Channel State Information

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