Search Results for author: Bile Peng

Found 9 papers, 5 papers with code

Non-Orthogonal Multiple Access Assisted by Reconfigurable Intelligent Surface Using Unsupervised Machine Learning

1 code implementation1 May 2023 Finn Siegismund-Poschmann, Bile Peng, Eduard A. Jorswieck

Nonorthogonal multiple access (NOMA) with multi-antenna base station (BS) is a promising technology for next-generation wireless communication, which has high potential in performance and user fairness.

Fairness

RISnet: A Scalable Approach for Reconfigurable Intelligent Surface Optimization with Partial CSI

1 code implementation1 May 2023 Bile Peng, Karl-Ludwig Besser, Ramprasad Raghunath, Vahid Jamali, Eduard A. Jorswieck

Two major challenges of this problem are the high dimensionality due to the large number of RIS elements and the difficulty to obtain the full channel state information (CSI), which is assumed known in many algorithms proposed in the literature.

RISnet: a Dedicated Scalable Neural Network Architecture for Optimization of Reconfigurable Intelligent Surfaces

no code implementations6 Dec 2022 Bile Peng, Finn Siegismund-Poschmann, Eduard A. Jorswieck

The RIS optimization is designed according to the RIS property of product and direct channel and homogeneous RIS antennas.

Resource allocation for reconfigurable intelligent surface aided broadcast channels

no code implementations14 Feb 2022 Cong Sun, Xian Liu, Bile Peng, Eduard Jorswieck

A two-user downlink network aided by a reconfigurable intelligent surface is considered.

Reconfigurable Intelligent Surface Enabled Spatial Multiplexing with Fully Convolutional Network

no code implementations8 Jan 2022 Bile Peng, Jan-Aike Termöhlen, Cong Sun, Danping He, Ke Guan, Tim Fingscheidt, Eduard A. Jorswieck

The rectangular shape of the RIS and the spatial correlation of channels with adjacent RIS antennas due to the short distance between them encourage us to apply it for the RIS configuration.

Semantic Segmentation

Learning Physical-Layer Communication with Quantized Feedback

1 code implementation19 Apr 2019 Jinxiang Song, Bile Peng, Christian Häger, Henk Wymeersch, Anant Sahai

A novel quantization method is proposed, which exploits the specific properties of the feedback signal and is suitable for non-stationary signal distributions.

Quantization

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