0% Complete
فارسی
Home
/
دوازدهمین کنفرانس بین المللی فناوری اطلاعات و دانش
A Novel Resource Allocation Scheme for Underlaying NOMA-Based Multi-Channel Cognitive D2D Communications
Authors :
Anahita Akbari
1
Javad Zeraatkar Moghaddam
2
Mehrdad Ardebilipour
3
1- دانشگاه صنعتی خواجه نصیرالدین طوسی
2- دانشگاه بیرجند
3- دانشگاه صنعتی خواجه نصیرالدین طوسی
Keywords :
Cognitive Radio, NOMA, Device to Device communications, Power allocation, Sub-channel assignment
Abstract :
In this paper, we investigate a non-orthogonal multiple access (NOMA)-based underlay multi-channel cognitive device-to-device (D2D) communications where secondary users (SU) are modeled as D2D users and can opportunistically access a licensed spectrum. We efficiently exploit a novel resource allocation scheme for the investigated model. We show that throughput of the D2D pairs can be maximized by optimal power and sub-channel (SC) allocations to the D2D and primary users, subject to controlling total transmission power, interference power, and minimum rate requirements of the users. We study the performance of the network by increasing the number of PUs and SCs. Moreover, minimum rate requirement of the PUs versus sum rate of the D2D pairs is investigated. The simulation results present insights about the impact of the optimal power and SC allocations and show that the proposed scheme can achieve a significant performance improvement.
Papers List
List of archived papers
LLM-Driven Feature Extraction for Stock Market Prediction: A case study of Tehran Stock Exchange
Siavash Hosseinpour Saffarian - Saman Haratizadeh
کشف لبه در تصاویر پزشکی با استفاده از اتوماتای سلولی سلسله مراتبی
مریم علینقی زاده - علیرضا رضوانیان
Classification of mental states of human concentration based on EEG signal
Mehran Safari Dehnavi - Vahid Safari Dehnavi - Dr Masoud Shafiee
Open-domain question classification and completion in conversational information search
Omid Mohammadi Kia - Mahmood Neshati - Mahsa Soudi Alamdari
Targeted Vaccination for COVID-19 Using Mobile Communication Networks
Mohammadmohsen Jadidi - Pegah Moslemi - Saeed Jamshidiha - Iman Masroori - Abbas Mohammadi - Vahid Pourahmadi
استخراج موارد آزمون سطح برونمتد و درونکلاس از برنامههای شئگرا
محمد قرشی - حسن حقیقی
پیش بینی ارتباط میزان مرگ و میر با هم زمانی وجود دو بیماری در مبتلایان به کرونا به کمک بگارگیری شبکه عصبی Word2Vec
سمن مثقالی - دکتر جواد عسکری سمن مثقالی - جواد عسکری -
IoT-Based Model in Smart Urban Traffic Control: Graph theory and Genetic Algorithm
Saeed Doostali - Seyed Morteza Babamir - Mohammad Shiralizadeh Dezfoli - Behzad Soleimani Neysiani
Attention-Enhanced Ensemble Learning for Automated Stenosis Detection in X-ray Coronary Angiography Videos
Marzieh Sadat Hosseini - Ahmad R. Naghsh-Nilchi - Mehran Safayani - Masoumeh Sadeghi
A U-Net architecture with graph attention networks to accurately define tooth boundaries
Ehsan Akefi - Hassan Khotanlou
more
Samin Hamayesh - Version 44.5.0