Top nominated papers 2023

Best Student Journal Paper Award

S. Kant, J. M. B. d. Silva, G. Fodor, B. Göransson, M. Bengtsson and C. Fischione, “Federated Learning Using Three-Operator ADMM,” in IEEE Journal of Selected Topics in Signal Processing, vol. 17, no. 1, pp. 205-221, Jan. 2023

Z. H. Shaik, E. Björnson and E. G. Larsson, “MMSE-Optimal Sequential Processing for Cell-Free Massive MIMO With Radio Stripes,” in IEEE Transactions on Communications, vol. 69, no. 11, pp. 7775-7789, Nov. 2021

Y. Ge et al., “A Computationally Efficient EK-PMBM Filter for Bistatic mmWave Radio SLAM,” in IEEE Journal on Selected Areas in Communications, vol. 40, no. 7, pp. 2179-2192, July 2022

C. Madapatha, B. Makki, A. Muhammad, E. Dahlman, M. -S. Alouini and T. Svensson, “On Topology Optimization and Routing in Integrated Access and Backhaul Networks: A Genetic Algorithm-Based Approach,” in IEEE Open Journal of the Communications Society, vol. 2, pp. 2273-2291, 2021

X. Li, E. Leitinger, A. Venus and F. Tufvesson, “Sequential Detection and Estimation of Multipath Channel Parameters Using Belief Propagation,” in IEEE Transactions on Wireless Communications, vol. 21, no. 10, pp. 8385-8402, Oct. 2022

Best Student Conference Paper Award

H. Hellstrom, V. Fodor and C. Fischione, “Unbiased Over-the-Air Computation via Retransmissions,” GLOBECOM 2022 – 2022 IEEE Global Communications Conference, Rio de Janeiro, Brazil, 2022, pp. 782-787

E. Etezadi et al., “DeepDefrag: A deep reinforcement learning framework for spectrum defragmentation,” GLOBECOM 2022 – 2022 IEEE Global Communications Conference, Rio de Janeiro, Brazil, 2022, pp. 3694-3699

A. Mahmoudi, J. M. B. D. S. Júnior, H. S. Ghadikolaei and C. Fischione, “A-LAQ: Adaptive Lazily Aggregated Quantized Gradient,” 2022 IEEE Globecom Workshops (GC Wkshps), Rio de Janeiro, Brazil, 2022, pp. 1828-1833

S. S. Tambovskiy, G. Fodor and H. Tullberg, “Cell-Free Data Power Control Via Scalable Multi-Objective Bayesian Optimisation,” 2022 IEEE 33rd Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), Kyoto, Japan, 2022, pp. 1-6

E. Becirovic, Z. Chen and E. G. Larsson, “Optimal MIMO Combining for Blind Federated Edge Learning with Gradient Sparsification,” 2022 IEEE 23rd International Workshop on Signal Processing Advances in Wireless Communication (SPAWC), Oulu, Finland, 2022, pp. 1-5