Two-Stage Beamformer Design for Massive MIMO Downlink By Trace Quotient Formulation

Kim, Donggun; Lee, Gilwon; Sung, Youngchul

doi:10.1109/tcomm.2015.2429646

Cited by 97 publications

(76 citation statements)

References 24 publications

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“…The proposed transmission scheme is also applicable to the more practical scenarios with multiple-ring the spatial correlation matrix satisfies R i j,k = R i j for all the users in the cluster j. Following the methods in [12], we can derive…”

Section: B Spatially Correlated Channel Model In the Massive Mimo Nementioning

confidence: 99%

Interference-Alignment and Soft-Space-Reuse Based Cooperative Transmission for Multi-cell Massive MIMO Networks

Zhang

et al. 2018

IEEE Trans. Wireless Commun.

102

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As a revolutionary wireless transmission strategy, interference alignment (IA) can improve the capacity of the cell-edge users. However, the acquisition of the global channel state information (CSI) for IA leads to unacceptable overhead in the massive MIMO systems. To tackle this problem, in this paper, we propose an IA and soft-space-reuse (IA-SSR) based cooperative transmission scheme under the two-stage precoding framework. Specifically, the cell-center and the cell-edge users are separately treated to fully exploit the spatial degrees of freedoms (DoF). Then, the optimal power allocation policy is developed to maximize the sum-capacity of the network. Next, a low-cost channel estimator is designed for the proposed IA-SSR framework. Some practical issues in IA-SSR implementation are also discussed. Finally, plenty of numerical results are presented to show the efficiency of the proposed algorithm.

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Section: B Spatially Correlated Channel Model In the Massive Mimo Nementioning

confidence: 99%

Interference-Alignment and Soft-Space-Reuse Based Cooperative Transmission for Multi-cell Massive MIMO Networks

Zhang

et al. 2018

IEEE Trans. Wireless Commun.

102

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“…In order to accomplish the channel estimation, the transmit and receive antenna arrays of the BS are assumed to be shared antennas, i.e., the transmit and receive RF chains share the same antenna [10]. In the frame-based BD massive MIMO FD SWIPT system, each frame is divided into two phases, phase I: estimation and EH phase and phase II: BD FD transmission phase, as shown in Fig.…”

Section: Bd Hybrid Ts and Ps Swipt Protocolmentioning

confidence: 99%

“…With the exponential growth of mobile Internet, the data traffic will increase by 1000 times beyond 2020. The existing 4G system cannot meet the increasing traffic demand of the future mobile communication, which put forward beam can be focused within a narrow range; hence, various kinds of interference can be substantially suppressed [4,[6][7][8][9][10].…”

Section: Introductionmentioning

confidence: 99%

Beam-domain hybrid time-switching and power-splitting SWIPT in full-duplex massive MIMO system

Shen

Wang

2018

J Wireless Com Network

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In this paper, we consider the beam-domain hybrid time-switching (TS) and power-splitting (PS) simultaneous wireless information and power transfer (SWIPT) protocol design in full-duplex (FD) massive multiple-input multiple-output (MIMO) system, where the FD base station (BS) simultaneously serves a set of downlink half-duplex (HD) users (cellular users) and a set of fixed uplink HD users (fixed sensor nodes) which are uniformly distributed in its coverage area. In order to reduce the computational complexity, we investigate the beam-domain representation of massive MIMO channels based on the basis expansion model, and then the beam-domain SWIPT protocol which lies in intelligently scheduling the users and sensors based on the beam-domain distributions of their associated channels to mitigate SI and enhance transmission efficiency is designed for full-duplex massive MIMO system. The whole beam-domain hybrid TS and PS SWIPT protocol is divided into two phases based on the ideal of TS. The first phase is used for cellular users uplink training and sensor nodes energy harvesting as well as downlink training, wherein the cellular users transmit uplink pilots for uplink channel estimation at the BS, while the BS simultaneously transmits energy signals to the sensor nodes. Based on the idea of PS, the sensor nodes utilize the received energy signals for energy harvesting and downlink channel estimation. In the second phase, the BS forms the transmit beamformers for information transmission to the users as well as the receive beamformers for the sensors transmit their data to the BS simultaneously. By optimizing the TS ratio and transmit powers at the BS in two phases, the system achievable sum rate performance is maximized. Simulation results show the superiority of the proposed protocol on spectral efficiency compared with the existing massive MIMO SWIPT protocol.

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“…where λ l c is the largest eigenvalue of R l c and P t = v l c,k 2 is the transmitting power for each user. The derivation of (a) utilizes the matrix property equations AB ≤ A B and v l c,k = P t ; (b) results from Jensens inequality and the fact that h l c,k and h l c ′ ,k ′ are independent; (c) follows from Theorem 1 of [4].…”

Section: Laslnr-based Bs Selection Algorithm With Low Overheadmentioning

confidence: 99%

Base Station Selection for Massive MIMO Networks With Two-Stage Precoding

Zhang

et al. 2017

IEEE Wireless Commun. Lett.

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The two-stage precoding has been proposed to reduce the overhead of both the channel training and the channel state information (CSI) feedback for the massive multiple-input multiple-output (MIMO) system. But the overlap of the anglespreading-ranges (ASR) for different user clusters may seriously degrade the performance of the two-stage precoding. In this letter, we propose one ASR overlap mitigating scheme through the base station (BS) selection. Firstly, the BS selection is formulated as a sum signal-to-interference-plus-noise ratio (SINR) maximization problem. Then, the problem is solved by a low-complex algorithm through maximizing signal-to-leakage-plus-noise ratio (SLNR). In addition, we propose one low-overhead algorithm with the lower bound on the average SLNR as the objective function. Finally, we demonstrate the efficacy of the proposed schemes through the numerical simulations.Index Terms-Massive MIMO, BS selection, two-stage precoding, signal-to-leakage-plus-noise ratio.

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Two-Stage Beamformer Design for Massive MIMO Downlink By Trace Quotient Formulation

Cited by 97 publications

References 24 publications

Interference-Alignment and Soft-Space-Reuse Based Cooperative Transmission for Multi-cell Massive MIMO Networks

Interference-Alignment and Soft-Space-Reuse Based Cooperative Transmission for Multi-cell Massive MIMO Networks

Beam-domain hybrid time-switching and power-splitting SWIPT in full-duplex massive MIMO system

Base Station Selection for Massive MIMO Networks With Two-Stage Precoding

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