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سی و دومین کنفرانس بین المللی مهندسی برق
Efficient signal detection via compressive sensing in uplink massive MIMO systems
نویسندگان :
Soroush Mesforush Mashhad
1
Mojtaba Amiri
2
Ali Olfat
3
1- دانشگاه تهران
2- دانشگاه تهران
3- دانشگاه تهران
کلمات کلیدی :
Massive MIMO،Compressive Sensing،Iterative Shrinkage-Thresholding Algorithm
چکیده :
This article explores the topic of MIMO systems, which is a crucial technology in 5G wireless communications. While massive MIMO holds great promise, challenges encompassing multi-antenna interference, channel estimation, and antenna correlation necessitate careful attention for acceptable performance. Optimal signal detection schemes, such as Maximum Likelihood (ML), encounter exponential complexity growth with antenna and constellation size. This paper explores novel data detection techniques, notably sparse properties, within the framework of compressed sensing (CS) to enhance MIMO detection efficiency and reduce complexity. An iterative, and computationally efficient approach is proposed which converges to the benchmark method. Simulation results verify the efficacy and functionality of the proposed method. It will be shown that both the runtime and computational complexity are reduced while preserving high-performance.
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بیشتر
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 44.7.2
