An experimental OFDM system for broadband mobile communications

Batariere, M.D.; Kepler, J.F.; Krauss, T.P.; Mukthavaram, S.; Porter, J.; Vook, F.W.

doi:10.1109/vtc.2001.957083

Cited by 37 publications

(15 citation statements)

References 8 publications

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“…The th block diagonal element is the MIMO channel of the th subcarrier and can be shown to be (10) So, for this subcarrier, we may write (11) which results in a flat-fading signal model per subcarrier. Note that if is a power of 2, the (I)DFT can be implemented efficiently with the (inverse) fast Fourier transform [I(FFT)].…”

Section: Mimo Ofdm Signal Modelmentioning

confidence: 99%

Implementation of a MIMO OFDM-Based Wireless LAN System

Zelst

Schenk

2004

IEEE Trans. Signal Process.

357

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: Mimo Ofdm Signal Modelmentioning

confidence: 99%

Implementation of a MIMO OFDM-Based Wireless LAN System

Zelst

Schenk

2004

IEEE Trans. Signal Process.

357

172

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“…This operation mode simplifies the algorithms testing, since no real-time constrains have to be fulfilled. In (Batariere et al, 2001) a 2x2 MIMO prototype based in this idea is reported. The signal is pre-calculated, loaded in the transmitter memory and transmitted through the MIMO channel.…”

Section: Mimo Testbedsmentioning

confidence: 99%

Wideband MIMO Measurement Systems for Antenna and Channel Evaluation

Gómez-Calero¹,

Mora²,

Haro³

et al. 2010

Advances in Measurement Systems

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“…Since performance of MIMO system depends on the behavior of MIMO channel, efficient system for MIMO communication requires accurate knowledge of channel characteristics. Channel sounders [1], [2] should therefore provide the temporal and spatial characteristics of the MIMO channel with accuracy and resolution high enough to befit the design purpose. As a time division multiplexing (TDM) based wideband MIMO channel sounder, the Band Exploration and Channel Sounding (BECS) 2005 system [3] was developed in Electronics and Telecommunications Research Institute (ETRI), Korea.…”

Section: Introductionmentioning

confidence: 99%

Eigenvalue analysis and its modeling for 2×2 MIMO channel capacity based on indoor measurements

Kim

Lee

Park

et al. 2009

2009 IEEE 20th International Symposium on Personal, Indoor and Mobile Radio Communications

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This paper aims at the eigenvalue analysis and its modeling for 2×2 (i.e., 2 transmit and 2 receive antennas) Multiple Input Multiple Output (MIMO) channel capacity based on Non Line-Of-Sight (NLOS) wideband indoor measurements. Our channel sounding system is the portable Band Exploration and Channel Sounding (pBECS) System, which works at a carrier frequency of 2.58GHz with 20MHz bandwidth. From the measured data, we investigate Transmit Antenna Correlation Coefficient (TxACC), Receive Antenna Correlation Coefficient (RxACC), channel capacity and eigenvalues of HH* where H and (*) are channel frequency response matrix and conjugate transpose. Based on the eigenvalue characteristics, we derive mean and variance of eigenvalues which are a function of the absolute values of TxACC and RxACC, |TxACC| and |RxACC|, and then model the eigenvalues for 2×2 MIMO channel capacity. Monte Carlo simulations are used to generate the eigenvalue realizations according to the model. The results are compared with the measured data and good agreements are found.

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An experimental OFDM system for broadband mobile communications

Cited by 37 publications

References 8 publications

Implementation of a MIMO OFDM-Based Wireless LAN System

Implementation of a MIMO OFDM-Based Wireless LAN System

Wideband MIMO Measurement Systems for Antenna and Channel Evaluation

Eigenvalue analysis and its modeling for 2×2 MIMO channel capacity based on indoor measurements

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An experimental OFDM system for broadband mobile communications

Cited by 37 publications

References 8 publications

Implementation of a MIMO OFDM-Based Wireless LAN System

Implementation of a MIMO OFDM-Based Wireless LAN System

Wideband MIMO Measurement Systems for Antenna and Channel Evaluation

Eigenvalue analysis and its modeling for 2&#x00D7;2 MIMO channel capacity based on indoor measurements

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Eigenvalue analysis and its modeling for 2×2 MIMO channel capacity based on indoor measurements