5 papers
Enhancing User Throughput in Multi-panel mmWave Radio Access Networks for Beam-based MU-MIMO Using a DRL Method
Ramin Hashemi, Vismika Ranasinghe, Teemu Veijalainen +2
Millimeter-wave (mmWave) communication systems, particularly those leveraging multi-user multiple-input and multiple-output (MU-MIMO) with hybrid beamforming, face challenges in op…
Graph Representation Learning for Wireless Communications
Maryam Mohsenivatani, Samad Ali, Vismika Ranasinghe +2
Wireless networks are inherently graph-structured, which can be utilized in graph representation learning to solve complex wireless network optimization problems. In graph represen…
Graph Neural Network Based Access Point Selection for Cell-Free Massive MIMO Systems
Vismika Ranasinghe, Nandana Rajatheva, Matti Latva-aho
A graph neural network (GNN) based access point (AP) selection algorithm for cell-free massive multiple-input multiple-output (MIMO) systems is proposed. Two graphs, a homogeneous…
Low Latency Decoder for Short Blocklength Polar Codes
Heshani Gamage, Vismika Ranasinghe, Nandana Rajatheva +1
Polar codes have been gaining a lot of interest due to it being the first coding scheme to provably achieve the symmetric capacity of a binary memoryless channel with an explicit c…
Partially Permuted Multi-Trellis Belief Propagation for Polar Codes
Vismika Ranasinghe, Nandana Rajatheva, Matti Latva-aho
Belief propagation (BP) is an iterative decoding algorithm for polar codes which can be parallelized effectively to achieve higher throughput. However, because of the presence of e…