0% Complete
English
صفحه اصلی
/
سیزدهمین کنفرانس بین المللی فناوری اطلاعات و دانش
Mode Selection and Resource Allocation in D2D-Enabled MC-NOMA using Matching Theory
نویسندگان :
Alireza Gholamrezaee
1
Hamid Farrokhi
2
Javad Zeraatkar Moghaddam
3
1- University of Birjand
2- University of Birjand
3- University of Birjand
کلمات کلیدی :
D2D communications،matching algorithm،mode selection،MC-NOMA،power allocation،sub-channel allocation
چکیده :
Device-to-Device (D2D) communications and multi-carrier non-orthogonal multiple access (MC-NOMA) are promising techniques for enhancing energy and spectrum efficiency in the 5G cellular network. On the other hand, one of the most critical issues in these techniques is interference. So, in this paper, we study mode selection, sub-channel allocation, and power allocation problems in a underlay D2D-enabled MC-NOMA network, to manage the co-channel interference and increase the spectrum efficiency of the network, while users’ minimum signal-to-interference-plus-noise ratio (SINR) requirements is considered, where users can operate in underlay D2D mode or cellular mode. For this purpose, we formulate the joint problem as a system sum-rate maximization problem. Since the maximization problem is NP-hard, the problem is divided into 1-sub-channel assignment and mode selection problem and 2- power allocation problem. To jointly solve the problem of sub-channel allocation and mode selection, we propose an advanced matching algorithm and use the sequential convex programming technique to solve the power allocation. Finally, to indicate the effectiveness of the proposed algorithms, we present simulation results.
لیست مقالات
لیست مقالات بایگانی شده
LuckyAgent2022: A Stop-Learning Multi-Armed Bandit Automated Negotiating Agent
Arash Ebrahimnezhad - Faria Nassiri-Mofakham
A Model-Driven Approach for Automatic Generation of Android Tourism Applications
Sara Adib - Bahman Zamani
استخراج موارد آزمون سطح برونمتد و درونکلاس از برنامههای شئگرا
محمد قرشی - حسن حقیقی
Analysing effect of news polarity on stock market prediction: a machine learning approach
Golshid Ranjbaran - Dr Mohammad-Shahram Moin - Dr Sasan H Alizadeh - Dr Abbas Koochari
خوشه بندی شبکههای بیسیم ادهاک مبتنی بر محدودیتهای فازی
پروا کلیبری - کریم صمدزمینی
AN EFFICIENT TASK SCHEDULING IN CLOUD COMPUTING BASED ON ACO ALGORITHM
Zahra Shafahi - Dr Alireza Yari
Revolutionizing Credit Scoring: The Synergy of Mamba State Space and CNN Models
Behnam Sabzalian
Sparse Beamforming Design for Non-Coherent UD-CRAN with mm-Wave Fronthaul Links
Alireza M. Hosseini - Dr Abbas Mohammadi
From Faces to Words: An Efficient Persian Visual Lip Reading
Mana Amini - Sajjad Aemmi - Azadeh Ashouri - Reza Akhoundzadeh - Kourosh Hassanzadeh - Mohammad Reza Mohammadi
Distributed Learning Automata-based Algorithm for Finding K-Clique in Complex Social Networks
Mohammad Mehdi Daliri Khomami - Alireza Rezvanian - Ali Mohammad Saghiri - Mohammad Reza Meybodi
بیشتر
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 44.5.0