Please wait ...
0% Complete
Home
/
11th International Conference on Computer and Knowledge Engineering
Energy Efficient Power Allocation in MIMO-NOMA Systems with ZF Receiver Beamforming in Multiple Clusters
Authors :
Mahdi Nangir
1
Abdolrasoul Sakhaei Gharagezlou
2
Nima Imani
3
1- Faculty of Electrical and Computer Engineering University of Tabriz
2- Faculty of Electrical and Computer Engineering University of Tabriz
3- Faculty of Electrical and Computer Engineering University of Tabriz
Keywords :
Multiple-Input Multiple-Output, Non-Orthogonal Multiple Access, Energy Efficiency, Power Allocation, Error Estimation, Zero Forcing Beamforming, KKT conditions.
Abstract :
This paper deals with the problem of energy efficient power allocation for a multiple-input multiple-output (MIMO) system with non-orthogonal multiple access (NOMA) method. The characteristics of the used channel are determinative in this system. Some key parameters that have not considered in most of the works, are examined in this paper, such as: the path loss, the zero forcing (ZF) beamforming, and the channel estimation error. In solving this problem, two constraints on the minimum user rate and the maximum transmission power of users are considered. The objective function of the optimization problem is the energy efficiency (EE) of the system, which is generally non-convex and constrained problem. First, it is converted to a convex problem using the convex optimization theory. Next, by employing the Lagrange dual function, the constraints of the problem are eliminated. By doing so, the problem becomes a convex unconstraint problem, and the Karush-Kuhn-Tucker (KKT) conditions are used to obtain the optimal power of the users. Furthermore, an iterative algorithm as a numerical solution is proposed for the problem. Our simulation results show that it outperforms the equal power allocation strategy.
Papers List
List of archived papers
TCAR: Thermal and Congestion-Aware Routing Algorithm in a Partially Connected 3D Network on Chip
Majid Nezarat - Masoomeh Momeni
Simulating Human Visual Cortex and Recall System with Convolutional Neural Networks
Sina Saadati - Abdolah Sepahvand
DRL-based Decision-Making for Autonomous Vehicle Collision Avoidance
Hoda Gholamrezaee - Seyedreza Taghizadeh - Ali Honarjoo
Two-step thermal-aware routing algorithm in 3D NoC
Majid Nezarat - Masoume Momeni
Innovative Customer Segmentation based on Multi-Step Sequential Deep Clustering in the Telecommunication Industry
Fatemeh Jalali Farahani - Shima Tabibian
Data Clustering using Chimp Optimization Algorithm
SAYED PEDRAM HAERI BOROUJENI - ELNAZ PASHAEI
Decentralized Federated Learning in IoT Environments: A Hierarchical Approach
Majid Mohammadpour - Seyedakbar Mostafavi
Extracting structural clusters from NMF feature matrix using Cosine Similarity-Based Weighted Voting
Mehdi Rahimi - Keyhan Khamforoosh - Vafa Maihami
Automated software design using Machine Learning With Natural Language Processing
Fahimeh Khedmatkon - Seyed Mohammad Hossein Hasheminejad - Jaleh Shoshtarian Malak
Novel Insights in Deep Learning for Predicting Climate Phenomena
Mohammad Naisipour - Saghar Ganji - Iraj Saeedpanah - Behnam Mehrakizadeh - Ahmad Reza Labibzadeh
more
Samin Hamayesh - Version 44.9.3