Temporal variation of multiple-input multiple-output (MIMO) channels in indoor environments

McNamara, DP; Beach, M.A.; Fletcher, P.N.; Karlsson, Peter

doi:10.1049/cp:20010354

Cited by 14 publications

(7 citation statements)

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“…5(a)]. Recently, it has been shown that variations in received SNR have a greater influence on the capacity of an indoor MIMO channel than do variations due to changes in the correlation of the channel response matrix [22], [24]. Therefore, the channel capacity results shown in Fig.…”

Section: B Mimo Channel Capacity Due To Pedestrian Movementmentioning

confidence: 99%

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Prediction of variation in MIMO channel capacity for the populated indoor environment using a Radar cross-section-based pedestrian model

Ziri-Castro

Scanlon

Evans

2005

IEEE Trans. Wireless Commun.

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Section: B Mimo Channel Capacity Due To Pedestrian Movementmentioning

confidence: 99%

“…7(a)] and, therefore, in capacity [ Fig. 7(b)], caused by obstructive fading define the changes of the largest singular value of [22], [23]. Fig.…”

Section: B Mimo Channel Capacity Due To Pedestrian Movementmentioning

confidence: 99%

Prediction of variation in MIMO channel capacity for the populated indoor environment using a Radar cross-section-based pedestrian model

Ziri-Castro

Scanlon

Evans

2005

IEEE Trans. Wireless Commun.

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“…The channel sounder completes a MIMO channel measurement consisting of up to 8 antenna elements at both transmitter and receiver in under 102:4 ms: For indoor slow moving channels this is well within the channel coherence time [28,29] and thus allows us to assume that the channel is stationary between each transmit-receive antenna pair during the measurement interval. The channel sounder operates with a bandwidth of 120 MHz about a carrier frequency of 5:2 GHz and uses a periodic multi-tone signal consisting of 97 discrete frequency points.…”

Section: Wideband Mimo Channel Measurementsmentioning

confidence: 99%

On the performance of recursive space–frequency codes and iterative decoding in wideband OFDM‐MIMO systems: simulated and measured results

Fletcher

McNamara

Piechocki

et al. 2004

Int J Communication

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SUMMARYIn this paper, we study the performance of a bandwidth efficient space-frequency turbo encoding scheme over wideband channels. Results are presented for simulated wideband MIMO channels consisting of two transmit antennas and up to two receive antennas. In addition, wideband channel measurements undertaken with practical multi-element antenna structures at both the access point (AP) and mobile terminal (MT) are presented. Analysis is in terms of channel capacity, 10% channel outage capacity and space-frequency iterative decoding for an lEEE802.11a physical layer complaint modem. It is shown when operating with a spectral efficiency of 1:2 bits=s=Hz; the iterative decoded space-time codes comes within approximately 4:7 dB of 10% outage capacity over Rayleigh fading wideband channels with two transmit and two receive antennas. Over measured channels the iterative decoding scheme performs within 7:7 dB 10% of outage capacity. Losses due to channel state information estimation are also investigated.

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“…The discrete multitone technique has been successfully used in digital subscriber line (DSL) systems to provide high-bit rates over telephone subscriber lines [7]. Exploiting the channel side-information in the transmission coding schemes with adaptive data rate is also suggested in indoor wireless applications [8]. The DMMT-SFCS can be regarded as an extension of the discrete multitone for DSL systems to multiple-input-multiple-output (MIMO) wireless applications.…”

Section: Introductionmentioning

confidence: 99%

An adaptive spatio-temporal coding scheme for indoor wireless communication

Wen

Wang

Chen

2003

IEEE J. Select. Areas Commun.

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Abstract-Systems that employ multiple antennas in both the transmitter and the receiver of a wireless system have been shown to promise extraordinary spectral efficiency. With full channel knowledge at the transmitter and receiver, Raleigh and Cioffi proposed a spatio-temporal coding scheme, discrete matrix multitone (DMMT), to achieve asymptotically optimum multiple-input-multiple-output (MIMO) channel capacity. The DMMT can be regarded as an extension of the discrete multitone for a digital subscriber lines (DSL) system to the MIMO wireless application. However, the DMMT is basically impracticable in nonstationary wireless environments due to its high-computational complexity. Exploring second-order statistics, we develop an efficient adaptive blind coding scheme for a high-capacity time-division duplexing (TDD) system with slow time-varying frequency-selective MIMO channels. With this method, neither a training sequence nor feedback of channel information is required in the proposed blind approach. Besides, the computational complexity of the proposed scheme is significantly lower than that of the coding scheme described by Raleigh and Cioffi. Simulation results show that the proposed architecture works efficiently in indoor wireless local area network applications.Index Terms-Adaptive algorithm, indoor wireless local-area network (LAN), multiple input-multiple output (MIMO), spatio-temporal coding.

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Temporal variation of multiple-input multiple-output (MIMO) channels in indoor environments

Cited by 14 publications

References 0 publications

Prediction of variation in MIMO channel capacity for the populated indoor environment using a Radar cross-section-based pedestrian model

Prediction of variation in MIMO channel capacity for the populated indoor environment using a Radar cross-section-based pedestrian model

On the performance of recursive space–frequency codes and iterative decoding in wideband OFDM‐MIMO systems: simulated and measured results

An adaptive spatio-temporal coding scheme for indoor wireless communication

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