24 citations · 193 across the 52 of their papers we have counts for
39 papers · 1 filter
A Scalable Graph Neural Network Decoder for Short Block Codes
Kou Tian, Chentao Yue, Changyang She +2
In this work, we propose a novel decoding algorithm for short block codes based on an edge-weighted graph neural network (EW-GNN). The EW-GNN decoder operates on the Tanner graph w…
Rate-Convergence Tradeoff of Federated Learning over Wireless Channel
Ayoob Salari, Mahyar Shirvanimoghaddam, Branka Vucetic +1
In this paper, we consider a federated learning problem over wireless channel that takes into account the coding rate and packet transmission errors. Communication channels are mod…
Graph Neural Network Aided Expectation Propagation Detector for MU-MIMO Systems
Alva Kosasih, Vincent Onasis, Wibowo Hardjawana +4
Multiuser massive multiple-input multiple-output (MU-MIMO) systems can be used to meet high throughput requirements of 5G and beyond networks. In an uplink MUMIMO system, a base st…
NOMA Joint Decoding based on Soft-Output Ordered-Statistics Decoder for Short Block Codes
Chentao Yue, Alva Kosasih, Mahyar Shirvanimoghaddam +5
In this paper, we design the joint decoding (JD) of non-orthogonal multiple access (NOMA) systems employing short block length codes. We first proposed a low-complexity soft-output…
A Linear Bayesian Learning Receiver Scheme for Massive MIMO Systems
Alva Kosasih, Wibowo Hardjawana, Branka Vucetic +1
Much stringent reliability and processing latency requirements in ultra-reliable-low-latency-communication (URLLC) traffic make the design of linear massive multiple-input-multiple…
A Bayesian Receiver with Improved Complexity-Reliability Trade-off in Massive MIMO Systems
Alva Kosasih, Vera Miloslavskaya, Wibowo Hardjawana +3
The stringent requirements on reliability and processing delay in the fifth-generation (G) cellular networks introduce considerable challenges in the design of massive multiple-…