Multi-User Diversity vs. Accurate Channel State Information in MIMO Downlink Channels

Ravindran, Niranjay; Jindal, Nihar

doi:10.1109/twc.2012.071612.101350

Cited by 42 publications

(51 citation statements)

References 29 publications

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“…7 shows the achievable rate of the Geodesic information/energy beamforming with limited feedback when M = 6, and (a) α = 0.3 and the target energyĒ = 5 × 10 −4 P µW , (b) α = 0.6 andĒ = 5 × 10 −4 P µW , and (c) α = 0.6 and E = 1 × 10 −3 P µW . Here we have utilized the RVQ [19] in quantizing v E , v L , w I , and v L . As the number of feedback bits (B) increases, the performances with limited feedback schemes become close to that of perfect CSIT.…”

Section: Simulation Resultsmentioning

confidence: 99%

“…Motivated by [13], the extension of the proposed Geodesic information/energy beamforming strategies to the general K-user MIMO IFC is discussed. Note that to exploit the proposed Geodesic information/energy beamforming, the necessary partial CSI at IAP and EAP is composed of, mainly, the unitary vectors associated with their links to both ID/EH MSs and they can be efficiently quantized using random vector quantization (RVQ) codebooks [18], [19]. Finally, by analyzing the achievable rate-energy performance statistically under the imperfect partial CSIT due to the RVQ, we propose an adaptive bit allocation strategy for both ID/EH MSs that is a function of the path loss and Geodesic angles.…”

Section: Introductionmentioning

confidence: 99%

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Joint Wireless Information and Energy Transfer with Reduced Feedback in MIMO Interference Channels

Park

Clerckx

2015

IEEE J. Select. Areas Commun.

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Abstract-To determine the transmission strategy for the joint wireless information and energy transfer (JWIET) in the MIMO interference channel (IFC), the information access point (IAP) and energy access point (EAP) require the channel state information (CSI) of their associated links to both the information-decoding (ID) mobile stations (MSs) and energyharvesting (EH) MSs (so-called local CSI). In this paper, to reduce the feedback overhead of MSs for the JWIET in twouser MIMO IFC, we propose a Geodesic energy beamforming scheme that requires partial CSI at the EAP. Furthermore, in the two-user MIMO IFC, it is proved that the Geodesic energy beamforming is the optimal non-cooperative strategy under local CSIT assumption. By adding a rank-one constraint on the transmit signal covariance of IAP, we can further reduce the feedback overhead to IAP by exploiting Geodesic information beamforming. Under the rank-one constraint of IAP's transmit signal, we prove that Geodesic information/energy beamforming approach is the optimal non-cooperative strategy for JWIET in the two-user MIMO IFC. We also discuss the extension of the proposed rank-one Geodesic information/energy beamforming strategies to general K-user MIMO IFC. Finally, by analyzing the achievable rate-energy performance statistically under imperfect partial CSIT, we propose an adaptive bit allocation strategy for both EH MS and ID MS.Index Terms-Joint wireless information and energy transfer, MIMO interference channel, Geodesic beamforming, Limited feedback

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Section: Simulation Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Joint Wireless Information and Energy Transfer with Reduced Feedback in MIMO Interference Channels

Park

Clerckx

2015

IEEE J. Select. Areas Commun.

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“…are chosen independently and isotropically on the N T -dimensional unit sphere [14]. Throughout the paper, we assume that this CQI is known perfectly to the BS, i.e., it is not quantized; thus, no CQI is fed back to the BS.…”

Section: System Modelmentioning

confidence: 99%

Linear precoding design for massive MIMO based on the minimum mean square error algorithm

Zhang

2017

J Embedded Systems

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Compared with the traditional multiple-input multiple-output (MIMO) systems, the large number of the transmit antennas of massive MIMO makes it more dependent on the limited feedback in practical systems. In this paper, we study the problem of precoding design for a massive MIMO system with limited feedback via minimizing mean square error (MSE). The feedback from mobile users to the base station (BS) is firstly considered; the BS can obtain the quantized information regarding the direction of the channels. Then, the precoding is designed by considering the effect of both noise term and quantization error under transmit power constraint. Simulation results show that the proposed scheme is robust to the channel uncertainties caused by quantization errors.

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“…LSE [13], MMSE [14] and LMMSE [15] channel estimators are accustomed to give randomly varying channel state information (CSI) [15] to the transmitter by way of a feedback, as shown in Fig. 1.…”

Section: Introductionmentioning

confidence: 99%

Adaptive Modulation and Coding with Channel State Information in OFDM for WiMAX

Reddy¹,

Boppana²

2014

IJIGSP

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Abstract-WiMAXis a broadband wireless communication system which provides fixed as well as mobility services. The mobile-WiMAX offers a special feature that has adopted an adaptive modulation and coding (AMC) in OFDM to provide higher data rates and error free transmission. AMC technique employs the channel state information (CSI) to efficiently utilize the channel and maximize the throughput with better spectral efficiency. In this paper, LSE, MMSE, LMMSE, Low rank (Lr)-LMMSE channel estimators are integrated with the physical layer. The performance of estimation algorithms is analyzed in terms of BER, SNR, MSE and throughput. Simulation results proved that increment in modulation scheme size causes to improvement in throughput along with BER value. There is a trade-off among modulation size, BER value and throughput.

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Multi-User Diversity vs. Accurate Channel State Information in MIMO Downlink Channels

Cited by 42 publications

References 29 publications

Joint Wireless Information and Energy Transfer with Reduced Feedback in MIMO Interference Channels

Joint Wireless Information and Energy Transfer with Reduced Feedback in MIMO Interference Channels

Linear precoding design for massive MIMO based on the minimum mean square error algorithm

Adaptive Modulation and Coding with Channel State Information in OFDM for WiMAX

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