1 code implementation • 25 Jan 2024 • Ramprasad Raghunath, Bile Peng, Eduard A. Jorswieck
Our aim is to achieve a less complex, distributed and scalable solution.
1 code implementation • 1 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.
1 code implementation • 1 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.
no code implementations • 6 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.
1 code implementation • 25 Nov 2022 • Bile Peng, Karl-Ludwig Besser, Ramprasad Raghunath, Eduard A. Jorswieck
This optimization problem is non-convex and its global optimum is difficult to find.
no code implementations • 19 Jun 2022 • Marjan Tajik, Mohammadreza Maleki, Nader Mokari, Mohammad Reza Javan, Hamid Saeedi, Bile Peng, Eduard A. Jorswieck
Using UAVs and BS jointly with MEC can reduce AoI on the network.
no code implementations • 14 Feb 2022 • Cong Sun, Xian Liu, Bile Peng, Eduard Jorswieck
A two-user downlink network aided by a reconfigurable intelligent surface is considered.
no code implementations • 8 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.
1 code implementation • 19 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.