Channel Estimation for Sparse mm-Wave MIMO System

The fifth-generation (5G) cellular networks will provide gigabit-per-second data rates from massive antenna array combined with the emerging use of large and unexploited millimeter wave (mm-Wave) bands (30–300 GHz) in small cells. Channel estimation for sparse mm-Wave MIMO systems is a difficult tas...

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Vydáno v:Wireless personal communications Ročník 129; číslo 3; s. 2123 - 2140
Hlavní autoři: Purohit, Naresh, Gupta, Namit
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York Springer US 01.04.2023
Springer Nature B.V
Témata:
5G mobile communication
Algorithms
Antenna arrays
Antennas
Communications Engineering
Computer Communication Networks
Dictionaries
Engineering
Millimeter waves
MIMO communication
Networks
Receivers & amplifiers
Signal,Image and Speech Processing
Sparsity
Transmitters
Orthogonal matching pursuit
5G
Sparsity
mm-Wave
Compressed-sensing
Channel estimation
ISSN:0929-6212, 1572-834X
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Shrnutí:The fifth-generation (5G) cellular networks will provide gigabit-per-second data rates from massive antenna array combined with the emerging use of large and unexploited millimeter wave (mm-Wave) bands (30–300 GHz) in small cells. Channel estimation for sparse mm-Wave MIMO systems is a difficult task. This is because of a large number of coefficients to be estimated, lower scattering nature, and blockage of mm-Wave by many materials in the environment. This paper will be the opportunity to implement the sparse channel estimation in the 5G cellular networks. In this work, we propose compressed-sensing (CS) based solutions and implements hybrid MIMO architecture for the proposed algorithm, OMP algorithm, and oracle estimator with different mm-Wave MIMO setups. Simulation results show that as compared to the OMP algorithm, proposed algorithm requires 16.9 times less computation time, and significant improvement is seen in normalized mean squared error (NMSE). Also, in the analysis, we found that the performance of the hybrid MIMO approaches near-optimal to conventional fully digital precoder.
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ISSN:0929-6212
1572-834X
DOI:10.1007/s11277-023-10227-4