Design of Online Music Education System Based on Artificial Intelligence and Multiuser Detection Algorithm. [PDF]
Comput Intell Neurosci, 2022 With the development of information technology, online music education has become a mainstream education method. Especially after the outbreak of COVID-19, music teachers have to teach through online.
Yan H.
europepmc +2 more sources
Differential Characteristics Based Iterative Multiuser Detection for Wireless Sensor Networks [PDF]
Sensors, 2017 High throughput, low latency and reliable communication has always been a hot topic for wireless sensor networks (WSNs) in various applications. Multiuser detection is widely used to suppress the bad effect of multiple access interference in WSNs.
Xiaoguang Chen +3 more
doaj +2 more sources
Uplink Multiuser MIMO Detection Scheme with Reduced Computational Complexity [PDF]
Radioengineering, 2015 The wireless communication systems with multiple antennas have recently received significant attention due to their higher capacity and better immunity to fading channels as compared to single antenna systems.
S. Cho, S. K. Park
doaj +4 more sources
EURASIP Journal on Wireless Communications and Networking, 2007 A hierarchical cross-layer design approach is proposed to increase energy efficiency in ad hoc networks through joint adaptation of nodes' transmitting powers and route selection.
Cristina Comaniciu, H. Vincent Poor
doaj +6 more sources
Convolutional-Neural-Network-Based Detection Algorithm for Uplink Multiuser Massive MIMO Systems
IEEE Access, 2020 In the coming 6th generation (6G) and beyond in wireless communication, an increasing number of ultrascale intelligent factors, including mobile robot users and smart cars, will result in interference exploitation.
Lin Li, Huijun Hou, Weixiao Meng
doaj +2 more sources
Enhanced Receivers for Interference Cancellation in 3G Systems [PDF]
Radioengineering, 2009 Interference cancellation and multiuser detection in CDMA systems are still actual research topics. These techniques enable us to deal with interference and to increase system capacity.
S. Hanus, P. Kejik
doaj +2 more sources
Multiuser Adversarial Attack on Deep Learning for OFDM Detection
IEEE Wireless Communications Letters, 2022 Adversarial attack has been widely used to degrade the performance of deep learning (DL), especially in the field of communications. In this letter, we evaluate different white-box and black-box adversarial attack algorithms for a DL-based multiuser ...
Youjie Ye, Yunfei Chen, Mingqian Liu
semanticscholar +1 more source
Low-Complexity Distributed XL-MIMO for Multiuser Detection [PDF]
2020 IEEE International Conference on Communications Workshops (ICC Workshops), 2020 In this paper, the zero-forcing and regularized zero-forcing schemes operating in crowded extra-large MIMO (XL-MIMO) scenarios with a fixed number of subarrays have been emulated using the randomized Kaczmarz algorithm (rKA).
Victor Croisfelt +4 more
semanticscholar +1 more source
DeepSIC: Deep Soft Interference Cancellation for Multiuser MIMO Detection [PDF]
IEEE Transactions on Wireless Communications, 2020 Digital receivers are required to recover the transmitted symbols from their observed channel output. In multiuser multiple-input multiple-output (MIMO) setups, where multiple symbols are simultaneously transmitted, accurate symbol detection is ...
Nir Shlezinger, Rong Fu, Yonina C. Eldar
semanticscholar +1 more source
Mean field analysis of reverse annealing for code-division multiple-access multiuser detection
Physical Review Research, 2021 Code-division multiple-access (CDMA) multiuser detection is a kind of signal recovery problem. The main problem of CDMA multiuser detection is to estimate the original signal from the degraded information.
Shunta Arai +2 more
doaj +1 more source