no code implementations • 24 Apr 2024 • Xin Jin, Tiejun Lv, Wei Ni, Zhipeng Lin, Qiuming Zhu, Ekram Hossain, H. Vincent Poor
Dual-function-radar-communication (DFRC) is a promising candidate technology for next-generation networks.
no code implementations • 26 Feb 2024 • Yashuai Cao, Hetong Wang, Tiejun Lv, Wei Ni
Intelligent reflecting surface (IRS) is a potential candidate for massive multiple-input multiple-output (MIMO) 2. 0 technology due to its low cost, ease of deployment, energy efficiency and extended coverage.
no code implementations • 13 Feb 2023 • Weicai Li, Tiejun Lv, Yashuai Cao, Wei Ni, Mugen Peng
Wireless federated learning (WFL) undergoes a communication bottleneck in uplink, limiting the number of users that can upload their local models in each global aggregation round.
no code implementations • 10 Feb 2023 • Yingping Cui, Tiejun Lv, Wei Ni, Abbas Jamalipour
This paper puts forth a new, reconfigurable intelligent surface (RIS)-assisted, uplink, user-centric cell-free (UCCF) system managed with the assistance of a digital twin (DT).
no code implementations • 12 Oct 2022 • Yuanyuan Ma, Tiejun Lv, Gaofeng Pan, Yunfei Chen, Mohamed-Slim Alouini
Considering the randomness of R, D, and Eves, and employing a stochastic geometry framework, the secrecy outage performance of the cooperative uplink transmission in the considered SATN is investigated and a closed-form analytical expression for the end-to-end secrecy outage probability is derived.
no code implementations • 24 Jun 2022 • Shaoyang Wang, Chau Yuen, Wei Ni, Guan Yong Liang, Tiejun Lv
Then, the joint VNF P&R problem is decoupled into two iterative subtasks: placement subtask and routing subtask.
no code implementations • 11 Jun 2022 • Yuanyuan Ma, Tiejun Lv, TingTing Li, Gaofeng Pan, Yunfei Chen, Mohamed-Slim Alouini
In this paper, we investigate the effect of the strong time-varying transmission distance on the performance of the low-earth orbit (LEO) satellite-terrestrial transmission (STT) system.
no code implementations • 29 Mar 2021 • Shaoyang Wang, Tiejun Lv, Wei Ni, Norman C. Beaulieu, Y. Jay Guo
This paper presents a novel and effective deep reinforcement learning (DRL)-based approach to addressing joint resource management (JRM) in a practical multi-carrier non-orthogonal multiple access (MC-NOMA) system, where hardware sensitivity and imperfect successive interference cancellation (SIC) are considered.
no code implementations • 10 Sep 2020 • Zhipeng Lin, Tiejun Lv, Wei Ni, J. Andrew Zhang, Ren Ping Liu
Channel estimation is challenging for hybrid millimeter wave (mmWave) large-scale antenna arrays which are promising in 5G/B5G applications.
Signal Processing
no code implementations • 21 Jul 2020 • Yashuai Cao, Tiejun Lv, Zhipeng Lin, Pingmu Huang, Fuhong Lin
By converting it into a regression task, a novel DoA estimation framework based on complex-valued deep learning (CVDL) is proposed for the near-field region in short-range MIMO communication systems.
Signal Processing
no code implementations • 21 Jul 2020 • Xuewei Zhang, Tiejun Lv, Yuan Ren, Wei Ni, Norman C. Beaulieu
Aiming to minimize service delay, we propose a new random caching scheme in device-to-device (D2D)-assisted heterogeneous network.
no code implementations • 20 Jul 2020 • Zhipeng Lin, Tiejun Lv, Wei Ni, J. Andrew Zhang, Ren Ping Liu
As a result, only a small number of RF chains are required to preserve the DoF of the UCyA.
no code implementations • 20 Dec 2019 • Yashuai Cao, Tiejun Lv, Zhipeng Lin, Wei Ni
Millimeter-wave (mmWave) communications provide access to spectra with bandwidths and in abundance.
no code implementations • 6 Oct 2019 • Yashuai Cao, Tiejun Lv, Wei Ni
Intelligent reflecting surface (IRS) is envisioned as a promising solution for controlling radio propagation environments in future wireless systems.