A review of sparse recovery algorithms
EC Marques, N Maciel, L Naviner, H Cai, J Yang - IEEE access, 2018 - ieeexplore.ieee.org
Nowadays, a large amount of information has to be transmitted or processed. This implies
high-power processing, large memory density, and increased energy consumption. In …
high-power processing, large memory density, and increased energy consumption. In …
Non-coherent and backscatter communications: Enabling ultra-massive connectivity in 6G wireless networks
With the commencement of the 5 th generation (5G) of wireless networks, researchers
around the globe have started paying their attention to the imminent challenges that may …
around the globe have started paying their attention to the imminent challenges that may …
The potential short-and long-term disruptions and transformative impacts of 5G and beyond wireless networks: Lessons learnt from the development of a 5G testbed …
The capacity and coverage requirements for 5 th generation (5G) and beyond wireless
connectivity will be significantly different from the predecessor networks. To meet these …
connectivity will be significantly different from the predecessor networks. To meet these …
On orthogonal and superimposed pilot schemes in massive MIMO NOMA systems
This paper is concerned with pilot transmission schemes in a large antenna system with non-
orthogonal multiple-access (NOMA). We investigate two pilot structures-orthogonal pilot …
orthogonal multiple-access (NOMA). We investigate two pilot structures-orthogonal pilot …
Efficient compressive sensing based sparse channel estimation for 5G massive MIMO systems
I Khan, D Singh - AEU-International Journal of Electronics and …, 2018 - Elsevier
Massive MIMO (multiple-input-multiple-output) is one of the key technologies of 5G mobile
cellular networks, which can form a huge antenna array by providing a large number of …
cellular networks, which can form a huge antenna array by providing a large number of …
Spectral and energy efficient low-overhead uplink and downlink channel estimation for 5G massive MIMO systems
Uplink and Downlink channel estimation in massive Multiple Input Multiple Output (MIMO)
systems is an intricate issue because of the increasing channel matrix dimensions. The …
systems is an intricate issue because of the increasing channel matrix dimensions. The …
Equivalent MIMO Channel Matrix Sparsification for Enhancement of Sensor Capabilities
M Bakulin, V Kreyndelin, S Melnik, V Sudovtsev… - Sensors, 2022 - mdpi.com
One of the development directions of new-generation mobile communications is using
multiple-input multiple-output (MIMO) channels with a large number of antennas. This …
multiple-input multiple-output (MIMO) channels with a large number of antennas. This …
Efficient implementations for orthogonal matching pursuit
H Zhu, W Chen, Y Wu - Electronics, 2020 - mdpi.com
Based on the efficient inverse Cholesky factorization, we propose an implementation of OMP
(called as version 0, ie, v0) and its four memory-saving versions (ie, the proposed v1, v2, v3 …
(called as version 0, ie, v0) and its four memory-saving versions (ie, the proposed v1, v2, v3 …
Pilot decontamination in multi-cell massive MIMO systems via combining semi-blind channel estimation with pilot assignment
In the multi-cell massive multiple-input multiple-output (MIMO) systems, the mitigation of pilot
contamination is an important issue in the semi-blind channel estimations. For the pilot …
contamination is an important issue in the semi-blind channel estimations. For the pilot …
Spatial modeling of interference in inter-vehicular communications for 3-D volumetric wireless networks
Unmanned aerial vehicle (UAV) assisted cell-free communications hold promise for
enhancing the coverage and capacity of heterogeneous cellular networks. However, the …
enhancing the coverage and capacity of heterogeneous cellular networks. However, the …