Distribution of Eigenvalues for 2x2 MIMO Channel Capacity Based on Indoor Measurements

Kim, Wonsop; Lee, Hyuckjae; Kim, Myung-Don; Chung, Hyun Kyu

doi:10.1109/twc.2012.020712.102181

Cited by 8 publications

(6 citation statements)

References 31 publications

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“…However, the measured multiplexing gain of 2×2 half-duplex is often less than two, and here again 2×1 full-duplex achieves a higher measured multiplexing gain. While surprising at first, the result is easily explained by the distribution of condition numbers of channel matrices observed in our extensive indoor tests, 1 and match the results for half-duplex MIMO systems observed in other experiments [12].…”

Section: Results Onsupporting

confidence: 86%

“…In other words, for the same SNR, full-duplex and half-duplex rates tend to be higher when the antennas are placed around the device. For the half-duplex systems this is explained by the fact that placing antennas around the device reduces the transmitter and receiver correlation and as these correlations decrease, the half-duplex rates increase [12,22]. For the full-duplex systems this is explained by the fact that placing the antennas around the device achieves larger cancellation than the configuration without a device in the middle of the antennas.…”

Section: Experiments Results Inmentioning

confidence: 99%

See 1 more Smart Citation

Design and Characterization of a Full-Duplex Multiantenna System for WiFi Networks

Duarte

Sabharwal

Aggarwal

et al. 2014

IEEE Trans. Veh. Technol.

477

357

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In this paper, we present an experimental and simulation based study to evaluate the use of full-duplex as a mode in practical IEEE 802.11 networks. To enable the study, we designed a 20 MHz multi-antenna OFDM full-duplex physical layer and a full-duplex capable MAC protocol which is backward compatible with current 802.11. Our extensive over-the-air experiments, simulations and analysis demonstrate the following two results.First, the use of multiple antennas at the physical layer leads to a higher ergodic throughput than its hardwareequivalent multi-antenna half-duplex counterparts, for SNRs above the median SNR encountered in practical WiFi deployments. Second, the proposed MAC translates the physical layer rate gain into near doubling of throughput for multi-node single-AP networks. The two combined results allow us to conclude that there are potentially significant benefits gained from including a full-duplex mode in future WiFi standards.

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Section: Results Onsupporting

confidence: 86%

Section: Experiments Results Inmentioning

confidence: 99%

Design and Characterization of a Full-Duplex Multiantenna System for WiFi Networks

Duarte

Sabharwal

Aggarwal

et al. 2014

IEEE Trans. Veh. Technol.

477

357

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show abstract

“…Especially on some size-limited devices such as notebook PC. Secondly, the MIMO scenario also applies to the situation that only two antennas are selected to transmit signals at the source and relay nodes and 2 2 MIMO channel has attracted much attention, see e.g., [33], [34]. For example, 3GPP LTE proposed the 2-antenna configuration for eNodeB in some of its drafts, see e.g., [35].…”

Section: A Optimal Beamforming Design For Scenariomentioning

confidence: 99%

Optimal Cooperative Beamforming Design for MIMO Decode-and-Forward Relay Channels

Xiong

Fan

et al. 2014

IEEE Trans. Signal Process.

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In this paper, we consider a transmit beamforming design for multiple-input-multiple-output (MIMO) decode-and-forward (DF) half-duplex two-hop relay channels with a direct source-destination link. For the scenario where source and relay nodes are equipped with multiple antennas and the destination node is deployed with single antenna, we formulate and solve the optimal beamforming vectors for source and relay nodes jointly. Specifically, we identify several unique properties of the optimal solutions through mathematical derivation, based on which we develop a systematic approach to arrive at the optimal beamforming vectors for the source and relay nodes for different system configurations. We derive a low-complexity explicit expression for the optimal beamforming vectors for some specific scenarios. Numerical results show that our proposed beamforming design scheme can achieve the -optimal solution with low computational complexity for MIMO DF relay networks.Index Terms-MIMO, relay, decode and forward, transmit beamforming and optimization.

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“…Substituting (4) and (12) into (10), we get the CL expression and an upper bound of single layer transmission:…”

Section: Codebook Capacity Lossmentioning

confidence: 99%

“…From the perspective of codebook selection, minimum CL is equivalent to maximize the capacity, yet no literature has studied it to reduce the complexity. Some recent indoor channel measurement results focus on different points, such as eigenvalue distribution [12], multilink separation [13], and dense multipath characteristics [14]. Performance evaluation is International Journal of Antennas and Propagation important for practical MIMO deployment, such as HSDPA [15] and E-UTRA [16].…”

Section: Introductionmentioning

confidence: 99%

Performance Evaluation of Closed-Loop Spatial Multiplexing Codebook Based on Indoor MIMO Channel Measurement

Junjun

Zhang

Xiong

et al. 2012

International Journal of Antennas and Propagation

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Closed-loop MIMO technique standardized in LTE can support different layer transmissions through precoding operation to match the channel multiplexing capability. However, the performance of the limited size codebook still needs to be evaluated in real channel environment for further insights. Based on the wideband MIMO channel measurement in a typical indoor scenario, capacity loss (CL) of the limited size codebook relative to perfect precoding is studied first in two extreme channel conditions. The results show that current codebook design for single layer transmission is nearly capacity lossless, and the CL will increase with the number of transmitted layers. Furthermore, the capacity improvement of better codebook selection criterions is very limited compared to CL. Then we define the maximum capacity boost achieved by frequency domain layer adaption (FDLA) and investigate its sensitivity to SNR and channel condition. To survey the effect of frequency domain channel variation on MIMO-OFDM system, we define a function to measure the fluctuation levels of the key channel metrics within a subband and reveal the inherent relationship between them. Finally, a capacity floor resulted as the feedback interval increases in frequency domain.

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Distribution of Eigenvalues for 2x2 MIMO Channel Capacity Based on Indoor Measurements

Cited by 8 publications

References 31 publications

Design and Characterization of a Full-Duplex Multiantenna System for WiFi Networks

Design and Characterization of a Full-Duplex Multiantenna System for WiFi Networks

Optimal Cooperative Beamforming Design for MIMO Decode-and-Forward Relay Channels

Performance Evaluation of Closed-Loop Spatial Multiplexing Codebook Based on Indoor MIMO Channel Measurement

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