کنفرانس مهندسی برق ایران

صفحه اصلی / سی امین کنفرانس بین المللی مهندسی برق

Comparison of the MRT and ZF Precoding in Massive MIMO Systems from Energy Efficiency Viewpoint

نویسندگان :

Mahdi Nangir¹ Abdolrasoul Sakhaei Gharagezlou² Nima Imani³

1- دانشگاه تبریز 2- دانشگاه تبریز 3- دانشگاه تبریز

کلمات کلیدی :

MIMO Systems, EE Performance, Power Allocation, MRT and ZF Precoding.

چکیده :

In this paper, the performance of a massive multiple input multiple output (MIMO) system in terms of energy efficiency (EE) is evaluated. Two scenarios are investigated with two different algorithms. In the first proposed solution method, the maximum ratio transmission (MRT) receiver is employed. It is possible to balance the complexity of signal reception and system performance by using the MRT precoding scheme. In the second proposed method, the zero forcing (ZF) receiver is used, which have less complexity in telecommunication systems. The desired problem of maximizing EE is formulated and both solutions are examined. The first method utilizes the Hessain matrix and obtains the power of each user, while the second method uses the Lagrange dual function to get the proper power values of users. Two specific algorithms are presented in two proposed schemes to find the optimal power for each user, which maximizes the EE of the system. Computer simulation results are used to show the performance of two precoding methods. Based on the results, one can achieve better EE performance for each user in the MIMO systems.

لیست مقالات

لیست مقالات بایگانی شده

مدل سازی فشرده و شبیه سازی گذار عایق به هادی در افزاره مات مبتنی بر VO2

پرناز عباسی - مجید شالچیان

Noninvasive Diagnosis of the Type of Breast Tumor through Artificial Neural Networks

Pooya Tahmasebi - Maryam Mehdizadeh Dastjerdi - Ali Fallah - Saeid Rashidi

A 5kW Bidirectional Isolated On-Board EV Battery Charger Using Hybrid PFC/Inverter

Amir Hossein Dabbagh - Hamed Arvani - Ebrahim Afjei

Bit Error Mitigation Using Unequal Resistivity Levels in Memristors

Amir Mohammad Hajisadeghi - Peiman Pourmomen - Hamid Reza Zarandi

A novel clustering-based over-sampling technique for imbalanced data sets

Behzad Mirzaei - Hossein Nezamabadi-pour - Javad Mahmoodi

یک روش تشخیص و تصحیح خطا برای بلوک های داده

سعیده صادقی - محسن راجی

Lateral Stability of Electric Vehicles in Car-Following Scenario Using High-Accuracy NMPC

Mohammad Behzad Roohi - Mohammad Javad Yazdanpanah

Enhancing Fetal Brain MRI Segmentation with Adaptive Attention Mechanisms and Residual Blocks

Nazanin Valaee - Vajiheh Sabeti

Learning-Based Routing Policy For Wireless Sensor Networks

‪Najim Halloum‬‏ - Yousef Darmani - Ali Ahmadi

Automated Optic Disc Segmentation in Low-Quality Retinopathy of Prematurity Retinal Images

Abolfazl Karimiyan Abdar - Reza AghaeiZadeh Zoroofi - Naser Shoeibi - Sare Safi - Alireza Ramezani - Homayoun Nikkhah - Hamid Safi - Mohammad Reza Ansari Astaneh

بیشتر