Impact of correlation and coupling on the capacity of MIMO systems

Chiurtu, N.; Rimoldi, Bixio; Telatar, Emre; Pauli, Volker

doi:10.1109/isspit.2003.1341083

Cited by 12 publications

(13 citation statements)

References 4 publications

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“…SA schemes such as [17]- [19] degraded by multiple-symbol errors due to fading. These are not accounted for in (35), which therefore is too optimistic in this case.…”

Section: Resultsmentioning

confidence: 99%

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Differential Space-Frequency Modulation and Fast 2-D Multiple-Symbol Differential Detection for MIMO-OFDM

Pauli

Lampe

Huber

2008

IEEE Trans. Veh. Technol.

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The combination of differential space-frequency modulation (DSFM) with orthogonal frequency division multiplexing (OFDM) is attractive for transmission over time-and frequency-selective multiple-input multiple-output (MIMO) channels and detection without the need for channel state information (CSI) at the receiver. It is well known that simple differential detection results in a high error floor already for moderate time and frequency selectivity of the channel. More sophisticated multiple-symbol differential detection (MSDD), which jointly processes multiple received symbols, overcomes this limitation, usually at the price of higher detection complexity. In this paper we consider DSFM for MIMO-OFDM transmission and MSDD at the receiver. Inspired by previous work presented in the literature, we devise a novel DSFM scheme, which makes use of spatial and/or spectral (multipath) diversity and is particularly suited for MIMO-OFDM and power-efficient, low-delay MSDD. We further investigate the application of a two-dimensional (2D) observation window to MSDD (2D-MSDD) in order to exploit channel correlations in both time and frequency direction. We develop a representation of the detection problem that is amenable to tree-search decoding, whose application leads to a tremendous reduction in MSDD complexity or "fast" MSDD. An analytical approximation of the symbol-error rate of 2D-MSDD for MIMO-OFDM under spatially correlated fading is derived, which enables quick and accurate performance evaluations. Numerical and simulation results corroborate the efficacy of our approach and show that power efficiency close to that of coherent detection with perfect CSI is feasible in all standard fading scenarios at reasonable decoder complexity. Index TermsOrthogonal frequency division multiplexing (OFDM), multiple-input multiple-output (MIMO) transmission, differential space-frequency modulation (DSFM), differential space-time modulation (DSTM), multiple-symbol differential detection (MSDD), tree-search decoding, sphere decoding.

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“…SA schemes such as [17]- [19] degraded by multiple-symbol errors due to fading. These are not accounted for in (35), which therefore is too optimistic in this case.…”

Section: Resultsmentioning

confidence: 99%

“…To describe the spatial correlation of the MIMO channel we use the correlation model of [34,35] where channel matrices are modelled as…”

Section: A Time-and Frequency-selective Mimo Channelmentioning

confidence: 99%

Differential Space-Frequency Modulation and Fast 2-D Multiple-Symbol Differential Detection for MIMO-OFDM

Pauli

Lampe

Huber

2008

IEEE Trans. Veh. Technol.

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“…One is S-parameter analysis [9], [16], [17] which reflects the wave transmission in an -port electrical network; the other is Z-parameter analysis [10]- [12], [20] which expresses the voltage and current relations among all ports. Various matching networks can be introduced [16] to improve the MIMO capacity performance, while more varieties of matching networks are examined in [21].…”

Section: A Backgroundmentioning

confidence: 99%

“…The Z-parameter network presented in this paper is an improvement of the previous work [10]- [12], [20]. In [11], the system model is approximated for multiple antennas of a fixed length at the receiver and ignores the effect of matching networks.…”

Section: Relation Between Previous and Current Workmentioning

confidence: 99%

“…Although compact MIMO receivers with various matching impedances are examined in [10], [20], no complete Z-parameter framework analysis and analytical result for the optimal SPM are given. The author in [12] did present a Z-parameter MIMO system but with an inappropriate channel matrix expression, which will be further discussed in Section II, and no matching network was included in the study.…”

Section: Relation Between Previous and Current Workmentioning

confidence: 99%

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Optimal Single-Port Matching Impedance for Capacity Maximization in Compact MIMO Arrays

Fei

Fan

Lau

et al. 2008

IEEE Trans. Antennas Propagat.

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Abstract-A complete multiple-input multiple-output (MIMO) system model with compact arrays at both link ends containing arbitrary matching networks is presented based on a Z-parameter approach. The complete channel matrix including the coupling effect is also presented. Utilizing this system model, the optimum single-port matching impedance for capacity maximization is derived for a 2 2 MIMO system with coupling at the receivers only. A closed-form result for the optimum matching impedance in high signal-to-noise ratio scenarios is given and proved to be equal to the input impedance of the receive end. Simulation of ideal dipoles verifies our analytical results and demonstrates the superiority of the optimum matching to other matching conditions in improving MIMO system performance. Experimental data for monopoles is also presented to further confirm our numerical findings and validate the accuracy of our derivation.

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