MIMO channel estimation for time-division duplex distributed antenna cooperative transmission

Adachi, Fumiyuki; Boonkajay, Amnart; Sasaki, Yuta; Saito, Tomoyuki

doi:10.1109/iwcmc.2017.7986288

Cited by 9 publications

(4 citation statements)

References 21 publications

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“…Then, the SS node and the SR k node carry out CSI estimation of PD-SS and PD-SR k links, respectively, based on the received pilot block. For simplicity, we assume that the time division duplexing is used here [28], where the CSI of the SS-PD and SR-PD links can be estimated on the basis of the CSI estimation of PD-SS and PD-SR links. The detailed implementations are out of the scope of this paper, which are left for the future studies.…”

Section: System Model a System Model Of Buffer-aided Cooperativmentioning

confidence: 99%

Generalized Buffer-State-Based Relay Selection in Cooperative Cognitive Radio Networks

et al. 2020

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In this paper, we propose a novel buffer-state-based relaying selection scheme in the context of cooperative cognitive radio networks (CRNs), supporting the primary and secondary networks. In the proposed scheme, both the effects of inter-network interference and fading are successfully suppressed by introducing a flexible link selection algorithm in the secondary network. More specifically, by relying on the broadcast nature of wireless communication channels between a source node and relay nodes in the secondary network, the associated source packet is shared among multiple relay nodes. This allows us to benefit from the additional degree of freedom. Furthermore, we consider the priority for link selection based on the buffer state of each relay node in the secondary network. This contributes to the avoidance of detrimental empty and full buffer states. Moreover, analytical bounds of the outage probability and the average packet delay are derived for the proposed scheme based on the Markov chain model, in order to verify the numerical results. The overhead required for a central coordinator of the secondary network to monitor channel state information and buffer states are also investigated. Our numerical results demonstrate that the proposed scheme achieves better outage and packet-delay performance than the conventional maxratio-based scheme in the buffer-aided CRN. INDEX TERMS Broadcast, buffer-aided relay, cooperative communication, cognitive radio network, Markov chain, outage probability, packet delay.

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Section: System Model a System Model Of Buffer-aided Cooperativmentioning

confidence: 99%

Generalized Buffer-State-Based Relay Selection in Cooperative Cognitive Radio Networks

et al. 2020

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“…The proposed TDD subframe consists of uplink pilot slot, downlink pilot slot, and 12 user data slots as shown in Fig. 1 [4]. Firstly, UEs, to be spatially multiplexed, transmit the frequency-division multiplexed (FDM) uplink pilot.…”

Section: Introductionmentioning

confidence: 99%

“…PðkÞ ¼ diag½P 0 ðkÞ; Á Á Á ; P u ðkÞ; Á Á Á ; P UÀ1 ðkÞ, and P u ðkÞ of size N strm Â N strm represents the water filling based power allocation [5] across eigenmodes and subcarriers. BS estimates MIMO CSIĤ bs ðk; t ¼ 0Þ using uplink pilot signal at time slot t ¼ 0, and UEs estimate each MIMO CSIĤ UE;u ðk; t ¼ 1Þ by using downlink pilot signal at time slot t ¼ 1 [4]. Accordingly, BS constructs the transmit filter W mmse ðk; t ¼ 0Þ and UE constructs the receive filter W svd;u ðk; t ¼ 1Þ by usingĤ bs ðk; t ¼ 0Þ andĤ ue;u ðk; t ¼ 1Þ instead of HðkÞ in eq.…”

Section: Introductionmentioning

confidence: 99%

Adaptive MMSE-SVD for OFDM downlink MU-MIMO in a high mobility environment

Sasaki

Adachi

2018

IEICE ComEX

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Abstract:In this paper, we propose an adaptive minimum mean square error filtering combined with singular value decomposition (MMSE-SVD) for OFDM downlink multi-user multi-input multi-output (MU-MIMO) transmission. During data transmission, base station (BS) updates the multi-user MMSE transmit filter by using linear channel prediction, while user equipments (UEs) update their eigenmode receive filters, constructed by SVD, by using decision feedback adaptive channel estimation. The uncoded BER performance achievable by adaptive MMSE-SVD is evaluated by computer simulation. It is shown that proposed adaptive MMSE-SVD can increase an allowable maximum Doppler frequency (f D T) for keeping BER<10 -2 by about 4 times.

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“…The time-division duplex (TDD), which can exploit the channel reciprocity in antenna selection and filter weight calculation, is assumed. The subframe considered in this paper consists of uplink pilot time slot (UpPTS) and downlink PTS (DwPTS), followed by 12 data time slots (DTSs) [3]. As illustrated in Fig.…”

Section: Introductionmentioning

confidence: 99%

Selective MIMO diversity with subcarrier-wise UE antenna identification/selection

Adachi

Boonkajay

2018

IEICE ComEX

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Antenna diversity is a powerful means to improve the bit error rate (BER) performance in wireless communication systems. In this paper, we propose selective multi-input multi-output (MIMO) diversity with subcarrier-wise user equipment (UE) antenna identification/selection in a doubly-selective fading channel. Pilot-aided channel estimation (PACE) is used for identifying/selecting the best UE antenna prior to data transmission and decision-feedback channel estimation (DFCE) is used to update the channel state information (CSI). It is confirmed by computer simulation that the proposed selective MIMO diversity provides the improved BER performance compared to MISO/SIMO diversity in low and high mobility environments.

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MIMO channel estimation for time-division duplex distributed antenna cooperative transmission

Cited by 9 publications

References 21 publications

Generalized Buffer-State-Based Relay Selection in Cooperative Cognitive Radio Networks

Generalized Buffer-State-Based Relay Selection in Cooperative Cognitive Radio Networks

Adaptive MMSE-SVD for OFDM downlink MU-MIMO in a high mobility environment

Selective MIMO diversity with subcarrier-wise UE antenna identification/selection

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