Channel estimation of massive mimo-ofdm system using elman recurrent neural network
Bandwidth limitations in the wireless communication bands have motivated the investigation
and exploration of wireless access technologies like massive multiple-input multiple-output …
and exploration of wireless access technologies like massive multiple-input multiple-output …
Performance analysis of Alamouti STBC MIMO OFDM for different transceiver system
Multiple-input, multiple-output orthogonal frequency-division multiplexing (MIMO-OFDM) is
the dominant air interface for 4G and 5G broadband wireless communications. It combines …
the dominant air interface for 4G and 5G broadband wireless communications. It combines …
Avenues to improve channel estimation using optimized CP in STBC coded MIMO-OFDM systems—a global optimization approach
A new semi-blind channel estimation with optimized Cyclic Prefix (CP) assisted Space Time
Block Coded Multi-Input Multi-Output Orthogonal Frequency Division Multiplexing (STBC …
Block Coded Multi-Input Multi-Output Orthogonal Frequency Division Multiplexing (STBC …
[PDF][PDF] Efficacy of channel estimation and efficient use of spectrum using optimised cyclic prefix (CP) in MIMO-OFDM
The performance of MIMO-OFDM network gets affected due to problems in the channel
estimation which is essential for designing receivers. The issues in MIMO are due to sizable …
estimation which is essential for designing receivers. The issues in MIMO are due to sizable …
Prevention of SQL injection and security enhancement in cyber networks
S Mitra, SS Roy, M Sarkar, S Bhowmik… - 2021 5th International …, 2021 - ieeexplore.ieee.org
Now-a-days, the majority of web applications are related to databases at the back-end so
there are potential outcomes of SQL injection attacks (SQLIA) on it. Various preventive …
there are potential outcomes of SQL injection attacks (SQLIA) on it. Various preventive …
Implementation of fast, adaptive, optimized blind channel estimation for multimodal MIMO‐OFDM systems using MFPA
This chapter utilizes some of the techniques, such as windowing strategies and progressive
technologies, as a part of past attempts to eliminate inter‐symbol interference and inter …
technologies, as a part of past attempts to eliminate inter‐symbol interference and inter …
Performance Analysis of Adaptive Modulation and Coding Over AWGN Channel in an OFDM System
AA Patil, CM Jadhao, SS Mhaske… - International Journal of …, 2023 - journal.ijresm.com
Orthogonal frequency division multiplexing (OFDM) as a special multi-carrier transmission
technology has good resistance to narrow-band interference and frequency selective fading …
technology has good resistance to narrow-band interference and frequency selective fading …
Deep Learning Assisted Technology for MIMO OFDM 5G Application
Abstract 5G network complexity has come to a noticeable point with the help of the deep
learning method. Deep learning also can optimize the performance parameter values and …
learning method. Deep learning also can optimize the performance parameter values and …
Utilization of IoT: Automated Seed Plantation based Smart Agriculture
D Mukherjee, M Nandi, S Mondal… - 2021 5th International …, 2021 - ieeexplore.ieee.org
Agriculture plays an indispensable role in developing one nation, and water is the primary
resource for agriculture. So, using IoT, properly utilizing adequate water in the irrigation …
resource for agriculture. So, using IoT, properly utilizing adequate water in the irrigation …
A deterministic study of delta modulation (DM) using machine learning approach
This paper primarily focuses on the generation of transmission code by Delta Modulation
(DM) using Machine Learning Algorithm. Here, models like Logistic Regression and Support …
(DM) using Machine Learning Algorithm. Here, models like Logistic Regression and Support …