1.7k citations · 2.9k across the 35 of their papers we have counts for
10 papers · 1 filter
Decentralizing Coherent Joint Transmission Precoding via Fast ADMM with Deterministic Equivalents
Xinyu Bian, Yuhao Liu, Yizhou Xu +4
Inter-cell interference (ICI) suppression is critical for multi-cell multi-user networks. In this paper, we investigate advanced precoding techniques for coordinated multi-point (C…
Decentralizing Coherent Joint Transmission Precoding via Deterministic Equivalents
Yuhao Liu, Xinyu Bian, Yizhou Xu +4
In order to control the inter-cell interference for a multi-cell multi-user multiple-input multiple-output network, we consider the precoder design for coordinated multi-point with…
Joint Activity-Delay Detection and Channel Estimation for Asynchronous Massive Random Access: A Free Probability Theory Approach
Xinyu Bian, Yuyi Mao, Jun Zhang
Grant-free random access (RA) has been recognized as a promising solution to support massive connectivity due to the removal of the uplink grant request procedures. While most ende…
Joint Activity-Delay Detection and Channel Estimation for Asynchronous Massive Random Access
Xinyu Bian, Yuyi Mao, Jun Zhang
Most existing studies on joint activity detection and channel estimation for grant-free massive random access (RA) systems assume perfect synchronization among all active users, wh…
Grant-free Massive Random Access with Retransmission: Receiver Optimization and Performance Analysis
Xinyu Bian, Yuyi Mao, Jun Zhang
There is an increasing demand of massive machine-type communication (mMTC) to provide scalable access for a large number of devices, which has prompted extensive investigation on g…
Task-Oriented Communication for Multi-Device Cooperative Edge Inference
Jiawei Shao, Yuyi Mao, Jun Zhang
This paper investigates task-oriented communication for multi-device cooperative edge inference, where a group of distributed low-end edge devices transmit the extracted features o…
Joint Activity Detection, Channel Estimation, and Data Decoding for Grant-free Massive Random Access
Xinyu Bian, Yuyi Mao, Jun Zhang
In the massive machine-type communication (mMTC) scenario, a large number of devices with sporadic traffic need to access the network on limited radio resources. While grant-free r…
Joint Activity Detection and Data Decoding in Massive Random Access via a Turbo Receiver
Xinyu Bian, Yuyi Mao, Jun Zhang
In this paper, we propose a turbo receiver for joint activity detection and data decoding in grant-free massive random access, which iterates between a detector and a belief propag…
Supporting More Active Users for Massive Access via Data-assisted Activity Detection
Xinyu Bian, Yuyi Mao, Jun Zhang
Massive machine-type communication (mMTC) has been regarded as one of the most important use scenarios in the fifth generation (5G) and beyond wireless networks, which demands scal…
Learning Task-Oriented Communication for Edge Inference: An Information Bottleneck Approach
Jiawei Shao, Yuyi Mao, Jun Zhang
This paper investigates task-oriented communication for edge inference, where a low-end edge device transmits the extracted feature vector of a local data sample to a powerful edge…