Capacity Measurements in a Cooperative MIMO Network

Jungnickel, Volker; Jaeckel, Stephan; Thiele, Lars; Jiang, Lei; Kruger, U.; Brylka, A.; Helmolt, C. von

doi:10.1109/tvt.2008.2010260

Cited by 52 publications

(31 citation statements)

References 46 publications

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“…H nm l denotes the element at the nth row and mth column of H l . The average path gain η of H can be calculated as (Jungnickel et al, 2009) …”

Section: Entropy Capacitymentioning

confidence: 99%

Indoor massive multiple-input multiple-output channel characterization and performance evaluation

et al. 2017

Frontiers Inf Technol Electronic Eng

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We present a measurement campaign to characterize an indoor massive multiple-input multiple-output (MIMO) channel system, using a 64-element virtual linear array, a 64-element virtual planar array, and a 128-element virtual planar array. The array topologies are generated using a 3D mechanical turntable. The measurements are conducted at 2, 4, 6, 11, 15, and 22 GHz, with a large bandwidth of 200 MHz. Both line-of-sight (LOS) and non-LOS (NLOS) propagation scenarios are considered. The typical channel parameters are extracted, including path loss, shadow fading, power delay profile, and root mean square (RMS) delay spread. The frequency dependence of these channel parameters is analyzed. The correlation between shadow fading and RMS delay spread is discussed. In addition, the performance of the standard linear precoder-the matched filter, which can be used for intersymbol interference (ISI) mitigation by shortening the RMS delay spread, is investigated. Other performance measures, such as entropy capacity, Demmel condition number, and channel ellipticity, are analyzed. The measured channels, which are in a rich-scattering indoor environment, are found to achieve a performance close to that in independent and identically distributed Rayleigh channels even in an LOS scenario.

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“…H nm l denotes the element at the nth row and mth column of H l . The average path gain η of H can be calculated as (Jungnickel et al, 2009) …”

Section: Entropy Capacitymentioning

confidence: 99%

Indoor massive multiple-input multiple-output channel characterization and performance evaluation

et al. 2017

Frontiers Inf Technol Electronic Eng

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“…Similar to the analysis performed in [9], we can obtain two kinds of statistics for the instantaneous capacity: a) capacity in the narrowband case (with N f = 1) and b) capacity in the wideband case with a sufficiently large N f using Eq. (5).…”

Section: Capacity Evaluation For Multi-probe Anechoic Chamber Setupsmentioning

confidence: 99%

“…(5). In [9], it was concluded that the wideband capacity results present similar mean and smaller variance as a result of averaging compared with the narrowband capacity. Table I.…”

Section: Capacity Evaluation For Multi-probe Anechoic Chamber Setupsmentioning

confidence: 99%

“…The effect of fading correlation on MIMO channel capacity has been investigated based on existing spatio-temporal wideband propagation channel models and extensive measurements reported in the literature [9]. Since the channels simulated in the multi-probe setup are only approximations, it is necessary to investigate how the capacity of the simulated channels matches with that of the target channel models.…”

Section: Introductionmentioning

confidence: 99%

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Wideband MIMO Channel Capacity Analysis in Multiprobe Anechoic Chamber Setups

Fan

Kyösti²,

Nielsen

2016

IEEE Trans. Veh. Technol.

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Abstract-This paper discusses over the air (OTA) testing for multiple input multiple output (MIMO) capable terminals with emphasis on wideband MIMO channel capacity analysis in a multi-probe anechoic chamber setup. In the literature, the spatial correlation simulation accuracy at the receiver (Rx) side has been used to determine the test area size for a limited number of probes. However, it is desirable that the test area size is defined in terms of data rate deviation of the simulated channel in the laboratory from that of the target channel model. This paper reports MIMO capacity analysis results for wideband spatiotemporal channel models, with emphasis on the impact of spatial correlation at the transmit (Tx) side, the channel model, and the spatial correlation at the Rx side on the capacity simulation accuracy. Simulation results show that the number of probes is irrelevant to capacity simulation accuracy when the spatial correlation at the Tx side is in the high region (e.g. ρ > 0.7). Furthermore, when correlation at the Tx side is low, the spatial correlation accuracy is less critical with small correlation at the Rx side. The simulation results are further supported by measurements in a practical multi-probe anechoic chamber setup. The capacity simulation accuracy is shown to be a valid measure to determine the test area size.

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“…Recent results applying generalized MIMO techniques to cellular networks show huge gains also in real propagation environments [6][7][8][9]. In the 3GPP standardization activities concerning LTE-Advanced [10], these techniques fall into the category of coordinated multi-point (CoMP) transmission and reception.…”

Section: Introductionmentioning

confidence: 99%

Coordinated Multipoint Trials in the Downlink

Jungnickel

Thiele

Wirth

et al. 2009

2009 IEEE Globecom Workshops

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Abstract-Coordinated multi-point (CoMP) is a new class of transmission schemes for interference reduction in the next generation of mobile networks. We have implemented and tested a distributed CoMP transmission approach in the downlink of an LTE-Advanced trial system operating in real time over 20 MHz bandwidth. Enabling features such as network synchronization, cell-and user-specific pilots, feedback of multicell channel state information and synchronous data exchange between the base stations have been implemented. Interferencelimited transmission experiments have been conducted using optimum combining with interference-aware link adaptation and cross-wise interference cancellation between the cells. The benefits of CoMP transmission have been studied over multi-cell channels recorded in an urban macro-cell scenario.

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Capacity Measurements in a Cooperative MIMO Network

Cited by 52 publications

References 46 publications

Indoor massive multiple-input multiple-output channel characterization and performance evaluation

Indoor massive multiple-input multiple-output channel characterization and performance evaluation

Wideband MIMO Channel Capacity Analysis in Multiprobe Anechoic Chamber Setups

Coordinated Multipoint Trials in the Downlink

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