Space division multiplexing (SDM) for OFDM systems

Zelst, A. van; Nee, Richard van; Awater, G.A.

doi:10.1109/vetecs.2000.851289

Cited by 132 publications

(100 citation statements)

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“…When the MIMO technique of spatial multiplexing is applied [8], encoding can be done either jointly over the multiple transmitter branches or per branch [12]. The latter option is chosen as the encoding scheme in this paper and is called per-antenna-coding (PAC).…”

Section: System Descriptionmentioning

confidence: 99%

“…Subsequently, the CP is removed, and the -point discrete fourier transformation (DFT) is performed per receiver branch. Since the MIMO algorithms that are proposed in this paper are single carrier algorithms, MIMO detection has to be done per OFDM subcarrier [8]. Therefore, the received signals of subcarrier are routed to the th MIMO detector to recover the data signals transmitted on that subcarrier.…”

Section: System Descriptionmentioning

confidence: 99%

“…The current WLAN standards IEEE 802.11a [5] and IEEE 802.11g [6] are based on orthogonal frequency division multiplexing (OFDM) [7]. A potential high data rate extension of these standards could be based on MIMO [8]. This leads to the promising combination of the data rate enhancement of SDM with the relatively high spectral efficiency and the robustness against frequency-selective fading and narrowband interference of OFDM.…”

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confidence: 99%

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Implementation of a MIMO OFDM-Based Wireless LAN System

Zelst

Schenk

2004

IEEE Trans. Signal Process.

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172

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Abstract-The combination of multiple-input multiple-output (MIMO) signal processing with orthogonal frequency division multiplexing (OFDM) is regarded as a promising solution for enhancing the data rates of next-generation wireless communication systems operating in frequency-selective fading environments. To realize this extension of OFDM with MIMO, a number of changes are required in the baseband signal processing. An overview is given of the necessary changes, including time and frequency synchronization, channel estimation, synchronization tracking, and MIMO detection. As a test case, the OFDM-based wireless local area network (WLAN) standard IEEE 802.11a is considered, but the results are applicable more generally. The complete MIMO OFDM processing is implemented in a system with three transmit and three receive antennas, and its performance is evaluated with both simulations and experimental test results. Results from measurements with this MIMO OFDM system in a typical office environment show, on average, a doubling of the system throughput, compared with a single antenna OFDM system. An average expected tripling of the throughput was most likely not achieved due to coupling between the transmitter and receiver branches.Index Terms-MIMO systems, orthogonal frequency division multiplexing (OFDM), space division multiplexing, synchronization, wireless LAN.

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Section: System Descriptionmentioning

confidence: 99%

Section: System Descriptionmentioning

confidence: 99%

mentioning

confidence: 99%

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Implementation of a MIMO OFDM-Based Wireless LAN System

Zelst

Schenk

2004

IEEE Trans. Signal Process.

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360

172

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“…The tag data can be parallelly transmitted to the reader antennas. At the reader side, the multiple load modulated signals are observed, and they are decoded by using MLD (Maximum Likelihood Detection) [6]. In this scheme, parallel data transmission is realized without extending frequency resources.…”

Section: Introductionmentioning

confidence: 99%

Fast demodulation method for passive MIMO communication by using beam-forming at receiver

et al. 2015

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In this letter, we propose the demodulation method to improve the complexity of demodulation in passive MIMO (Multiple-Input MultipleOutput) scheme. This scheme uses the multiple antennas at both reader and RFID (Radio Frequency Identification) tag to increase the data-rate, but the complexity of MLD (Maximum Likelihood Detection), which is used as demodulation algorithm, increases exponentially with the number of antennas. The proposed method divides tag antennas into two groups that do not interfere each other by decoupling tag antenna groups using 180-degree hybrids at tag side and beam-forming at receiver side. Individual demodulation for each group improves the complexity of MLD significantly. Simulation results show the proposed method can reduce the complexity of MLD with degrading slight BER (Bit-Error-Rate) performance. The results reveal the proposed method is effective in reducing demodulation complexity of passive MIMO transmission even when the number of tag antennas is increased.

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“…The ML detection (MLD) [6] is the optimal detection scheme in terms of transmission performance. However, its computational complexity becomes extremely high because the number of symbol candidate sequence is exponentially increased to for X-QAM, where N t is the number of transmit antennas and N c is the block size.…”

Section: Introductionmentioning

confidence: 99%

Training Sequence-Aided QRM-MLD Block Signal Detection for Single-Carrier MIMO Spatial Multiplexing

Yamamoto

Takeda

Adachi

2011

2011 IEEE International Conference on Communications (ICC)

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Abstract-We propose a maximum likelihood block signal detection using QR decomposition and M-algorithm (called QRM-MLBD) for training sequence-aided single-carrier (TA-SC) multi-input multi-output (MIMO) spatial multiplexing. QRM-MLBD can significantly improve the packet error rate (PER) performance of cyclic prefix-inserted single-carrier (CP-SC) MIMO spatial multiplexing when compared to the frequency-domain minimum mean square error (MMSE) detection. However, in order to achieve the sufficiently improved performance, the use of a fairly large number M of surviving paths in the M-algorithm is required because if smaller M is used, the probability of removing the correct path at early stages increases. In this paper, to reduce this probability, we propose the use of TA-SC transmission instead of CP-SC transmission and show that the use of training sequence can significantly reduce the probability of removing the correct path at early stages in QRM-MLBD. We show, by computer simulation, that TA-SC MIMO spatial multiplexing using QRM-MLBD can achieve the PER performance similar to CP-SC MIMO spatial multiplexing while significantly reducing the computational complexity, about 8% of computational complexity of CP-SC MIMO in the case of 16QAM and 4×4 MIMO spatial multiplexing.

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Space division multiplexing (SDM) for OFDM systems

Cited by 132 publications

References 13 publications

Implementation of a MIMO OFDM-Based Wireless LAN System

Implementation of a MIMO OFDM-Based Wireless LAN System

Fast demodulation method for passive MIMO communication by using beam-forming at receiver

Training Sequence-Aided QRM-MLD Block Signal Detection for Single-Carrier MIMO Spatial Multiplexing

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