The Dependency of Turbo MIMO Equalizer Performance on the Spatial and Temporal Multipath Channel Structure - A Measurement Based Evaluation (original) (raw)

Exploring the performance of turbo MIMO equalization in real field scenarios

2002

This paper describes the methodology and the results of performance investigations of the Turbo MIMO equalizer concept for broadband MIMO systems. Different application setups are introduced and realistic simulations based on measured propagation data are described. Relationships between the propagation characteristics, the antenna configurations, and the achievable bit error rates are shown. Although in many of the considered constellations Turbo MIMO detection appears feasible in real field scenarios, there exist cases with poor performance as well, indicating that for practical applications a technique for link adaptation of the transmitter and receiver processing to the environment is necessary.

System-level performance evaluation of MMSE MIMO turbo equalization techniques using measurement data

2006

In this paper, system-level performance of three different MMSE turbo MIMO equalization techniques is evaluated in realistic scenarios. Soft cancellation and minimum mean squared error filtering (SC/MMSE) turbo equalization and its complexity reduced version, turbo equalized diversity, is considered. Furthermore, another version of equalized diversity, turbo equalized diversity with common SC/MMSE, which exploits the transmit diversity and coding gain through the cross-wise iterations over the decoding branches, is evaluated. The multi-dimensional channel sounding measurement data used for the simulations consists of snapshots measured in different channel conditions in terms of spatial and temporal properties. The system-level assessment is in terms of outage probabilities of the performance figures such as bit and frame error rates obtained by evaluating their cumulative probability densities as well as throughput efficiencies using the field measurement data. It is found that the receivers considered in this paper can all provide reasonable system-level performance. However, turbo equalized diversity receiver is more sensitive to the channel conditions than the original SC/MMSE equalizer. It is also found that the performance gain, obtained from the cross-wise iteration over the decoding branches in the turbo equalized diversity with common SC/MMSE technique, is significant.

Channel Measurement Data Based Performance Evaluation of Coded Space-Time SC-MMSE MIMO Turbo Equalization

2006 3rd International Symposium on Wireless Communication Systems, 2006

Coded space-time soft cancellation minimum mean squared error filtering (CST SC-MMSE) based turbo equalization, which exploits transmit diversity and coding gains through two turbo iteration loops, horizontal and vertical iterations, has been introduced in Ill for uplink single carrier signaling. In this paper, performance of the CST SC-MMSE equalizer is evaluated in realistic scenarios using multi-dimensional channel measurement data. Measurement data consists of snapshots measured in different channel conditions in terms of spatial and temporal properties. It is shown that the CST SC-MMSE equalizer can achieve excellent performance even at the lower SNR range due to the vertical iterations between the decoders that can achieve a coding gain on top of the diversity gain. However, performance depends on channel conditions. The impact of the horizontal and vertical iterations is studied in different channel conditions.

Space-time turbo equalization in frequency-selective mimo channels

IEEE Transactions on Vehicular Technology, 2003

A computationally efficient space-time turbo equalization algorithm is derived for frequency-selective multiple-input-multiple-output (MIMO) channels. The algorithm is an extension of the iterative equalization algorithm by Reynolds and Wang for frequency-selective fading channels and of iterative multiuser detection for code-division multiple-access (CDMA) systems by Wang and Poor. The proposed algorithm is implemented as a MIMO detector consisting of a soft-input-soft-output (SISO) linear MMSE detector followed by SISO channel decoders for the multiple users. The detector first forms a soft replica of each composite interfering signal using the log likelihood ratio (LLR), fed back from the SISO channel decoders, of the transmitted coded symbols and subtracts it from the received signal vector. Linear adaptive filtering then takes place to suppress the interference residuals: filter taps are adjusted based on the minimum mean square error (MMSE) criterion. The LLR is then calculated for adaptive filter output. This process is repeated in an iterative fashion to enhance signal-detection performance. This paper also discusses the performance sensitivity of the proposed algorithm to channel-estimation error. A channel-estimation scheme is introduced that works with the iterative MIMO equalization process to reduce estimation errors.

Parallel MIMO Turbo Equalization

IEEE Communications Letters, 2000

Although the use of filter based equalizer with Multi Input Multi Output (MIMO) turbo equalization ensures promising error rate performance at low area overhead, it adds to the latency already imposed by turbo decoding. In this letter, in order to address the ever increasing requirements of high throughput and low latency, two parallelism techniques are proposed and analyzed for MIMO turbo equalization. Results demonstrate that significant speed gain and parallelism efficiency can be attained for different MIMO Spatial Multiplexing (SM) configurations without degrading the error rate performance.

Performance Analysis of MIMO Equalization Techniques with Highly Efficient Channel Coding Schemes

To combat the wireless fading impairment in the high network demand environment, various coding schemes have been implemented. MIMO techniques are still the powerful techniques along with source coding. This paper focuses on coherent implementation of high performance turbo codes with MIMO equalization techniques. It is proposed to achieve optimum BER value at very low values of SNR in a noisy environment.

Physical layer abstraction for turbo coded MIMO systems with LMMSE-IC based turbo equalization

2013 IEEE Globecom Workshops (GC Wkshps), 2013

Closed-loop link adaptation in LTE involves a family of modulation and coding schemes constructed out of powerful turbo codes. Due to their particular structure, such codes cannot be optimally decoded except for very limited block length. In practice, a suboptimal iterative decoding is applied. The smooth introduction of linear minimum mean-square error interference cancellation (LMMSE-IC) based turbo equalization in LTE calls for a new physical layer abstraction for this non-trivial doubly iterative algorithm to accurately predict the performance of each global iteration. The abstraction is based on a stochastic modeling of the whole turbo equalization using EXIT charts (and variants). As the core of the contribution, we find that, even in the simplified case of Gray mapping, a bivariate information transfer function is needed to characterize the evolution of the joint demapper and turbo decoder embedded within the LMMSE-IC based turbo equalization. This is in contrast with previous contributions where simple convolutional codes were considered and univariate information transfer function sufficient. The effectiveness of the approach is demonstrated through Monte Carlo simulations in a variety of transmission scenarios.

MIMO spatial turbo coding with iterative equalization

… (WSA), 2010

This paper proposes a structure that combines iterative equalization and turbo decoding, denoted as spatial turbo coding (STC), for single carrier signaling to achieve near capacity performance in multipath-rich fading channels. Instead of multiplexing the encoded bits in the time domain as in the standard turbo codes, the proposed STC transmits coded bits in the space domain by employing multiple-input multiple-output (MIMO) transceiver to exploit space diversity, path diversity and coding gains through the decoding branches at the receiver. The considered MIMO detector is a MIMO frequency domain softcancelation and minimum mean square error equalizer (FD/SC-MMSE). Extrinsic Information Transfer (EXIT) chart analysis confirms that bit-error-rate (BER) pinch-off is achieved in 64path Rayleigh fading channels with equal average path gains power which is just by about 1dB away from the static channel capacity/dimension of 2×2 MIMO systems.

Frequency-Domain Block Turbo-Equalization for Single-Carrier Transmission Over MIMO Broadband Wireless Channel

IEEE Transactions on Communications, 2006

This paper presents a new class of block turbo-equalizers for single-carrier transmission over Multiple-Input Multiple-Output (MIMO) broadband wireless channel. The key underlying idea consists in equalizing (non overlapping) groups of symbols and detecting their individual space-time components in a disjoint and iterative fashion. This functional split naturally induces new design options that have been accurately listed and described, i.e., choice of distinct criteria for InterGroup Interference (IGI) equalization and intra-group components detection, yielding hybrid structures, multiple iterative loops and related scheduling variants. Selected algorithms in the proposed class are compared in terms of performance under various transmission scenarios. For all of them, Minimum Mean Square Error (MMSE) IGI equalization certainly occupies a central role (at least for the first iteration) and may be identified as the computational bottleneck. Fortunately, block spread transmission together with cyclic prefix operations make the channel matrix block circulant, thus allowing low complexity inversion in the Fourier domain.