A multi-user beamforming scheme in MIMO downlink channels for multi-cell networks

Lee, Jai-Hoon; Kim, Seokkwon; Jin, Seung-Ri; Park, Dong-Jo

doi:10.1109/icce.2011.5722753

Cited by 5 publications

(2 citation statements)

References 5 publications

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“…Therefore, the operation of multi-user interference cancellation is often done on the BS side. Linear precoding at the wireless communications station, which is installed at a fixed location, and decoding at the user approaches are necessary to solve this problem [8]. In order to mitigate the co-channel interference that occurs at mobile stations, the designer must create a transmitter that can send information to several mobile stations via beamforming vectors.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Eigenvalue and Block Diagonalization Beamforming Precoding Performance for 5G Technology over Rician Channel

2019

Teh. vjesn.

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In traditional wireless cellular, at the same cell, users can cause co-channel interference (CCI) between each other; CCI can deteriorate the channel's capacity. A multiple-input multiple-output (MIMO) system with beamforming technology solves this CCI problem. Exploiting the channel state information (CSI) in a multiuser MIMO (MU-MIMO) system can improve the performance of the channel link by designing the precoding vectors for every user. A linear precoder has multiple methods, like Block diagonalization precoding (BDP) and Eigenvalue precoding (EP) that facilitate its use. This paper evaluates the symbol-detection performance for BDP and EP in MU-MIMO beamforming over a Rayleigh fading channel. Then, the channel matrix replaces the typical channel assumption with its correlated realistic Rician fading channel. Simulation results show that the Rician fading channel has performance improvement until with low Rician factor value, compared to a conventional channel. The high value of the Rician factor can reduce the error rate.

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Section: Introductionmentioning

confidence: 99%

Evaluation of Eigenvalue and Block Diagonalization Beamforming Precoding Performance for 5G Technology over Rician Channel

2019

Teh. vjesn.

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“…For the D2D pairs violating the requirement, a default spectrum resource is provided so that they still can transmit with best effort basis. For multiple transmit antennas system, we apply a beamforming based on signal to interference and noise (SLNR) metric [9,10] to further reduce the interference. The results show that, with the pairing algorithm, the co-channel interference between D2D pairs and the CUE uplink is mitigated and the system throughput is optimized.…”

Section: Introductionmentioning

confidence: 99%

Resource Allocation and Beamforming Algorithm Based on Interference Avoidance Approach for Device-to-Device Communication Underlaying LTE Cellular Network

Han¹,

Zhu²,

Viorel³

et al. 2013

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In this work, we consider device-to-device (D2D) direct communication underlaying a 3GPP LTE-A network. D2D communication enables new service opportunities, provides high throughput and reliable communication while reducing the base station load. For better total performance, D2D links and cellular links share the same radio resource and the management of interference becomes a crucial task. We propose a radio resource allocation for D2D links based on interference avoidance approach. For system with multiple transmit antennas, we apply beamforming technique based on signal to leakage criterion to reduce the co-channel interference. The results show that, D2D transmission with the resource allocation and beamforming technique provides significant gain compared to that of the regular cellular network.

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Work in progress: 3D beamforming methods with user-specific elevation beamfoming

Liu

Kang³

et al. 2014

9th International Conference on Communications and Networking in China

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A multi-user beamforming scheme in MIMO downlink channels for multi-cell networks

Cited by 5 publications

References 5 publications

Evaluation of Eigenvalue and Block Diagonalization Beamforming Precoding Performance for 5G Technology over Rician Channel

Evaluation of Eigenvalue and Block Diagonalization Beamforming Precoding Performance for 5G Technology over Rician Channel

Resource Allocation and Beamforming Algorithm Based on Interference Avoidance Approach for Device-to-Device Communication Underlaying LTE Cellular Network

Work in progress: 3D beamforming methods with user-specific elevation beamfoming

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