Downlink Power Allocation for CR-NOMA-Based Femtocell D2D Using Greedy Asynchronous Distributed Interference Avoidance Algorithm

This paper focuses on downlink power allocation for a cognitive radio-based non-orthogonal multiple access (CR-NOMA) system in a femtocell environment involving device-to-device (D2D) communication. The proposed power allocation scheme employs the greedy asynchronous distributed interference avoidance (GADIA) algorithm. This research aims to optimize the power allocation in the downlink transmission, considering the unique characteristics of the CR-NOMA-based femtocell D2D system. The GADIA algorithm is utilized to mitigate interference and effectively optimize power allocation across the network. This research uses a fairness index to present a novel fairness-constrained power allocation algorithm for a downlink non-orthogonal multiple access (NOMA) system. Through extensive simulations, the maximum rate under fairness (MRF) algorithm is shown to optimize system performance while maintaining fairness among users effectively. The fairness index is demonstrated to be adaptable to various user counts, offering a specified range with excellent responsiveness. The implementation of the GADIA algorithm exhibits promising results for sub-optimal frequency band distribution within the network. Mathematical models evaluated in MATLAB further confirm the superiority of CR-NOMA over optimum power allocation NOMA (OPA) and fixed power allocation NOMA (FPA) techniques.

[1]  Y. Pousset,et al.  Low-complexity hybrid interference cancellation for sparse code multiple access , 2022, EURASIP Journal on Wireless Communications and Networking.

[2]  Maha S. Abdelhaq,et al.  Design of Power Location Coefficient System for 6G Downlink Cooperative NOMA Network , 2022, Energies.

[3]  M. Roslee,et al.  Resource Allocation for Throughput versus Fairness Trade-Offs under User Data Rate Fairness in NOMA Systems in 5G Networks , 2022, Applied Sciences.

[4]  Hesham Alhumyani,et al.  Performance Evaluation of Downlink Coordinated Multipoint Joint Transmission under Heavy IoT Traffic Load , 2022, Wirel. Commun. Mob. Comput..

[5]  Md. Sarwar Hosain,et al.  Internet of vehicle's resource management in 5G networks using AI technologies: Current status and trends , 2021, IET Commun..

[6]  T. Cinkler,et al.  Analysis of Power Allocation for NOMA-Based D2D Communications Using GADIA , 2021, Inf..

[7]  R. Mokhtar,et al.  Quality of Services Based on Intelligent IoT WLAN MAC Protocol Dynamic Real-Time Applications in Smart Cities , 2021, Comput. Intell. Neurosci..

[8]  Rashid A. Saeed,et al.  Machine learning techniques in internet of UAVs for smart cities applications , 2021, J. Intell. Fuzzy Syst..

[9]  F. Rafael M. Lima,et al.  Non-Orthogonal Multiple Access in Two-Hop Wireless Powered Communication Networks , 2020, IEEE Wireless Communications Letters.

[10]  Zhiguo Ding,et al.  Robust Non-Orthogonal Multiple Access for Aerial and Ground Users , 2020, IEEE Transactions on Wireless Communications.

[11]  Raed Alhamad,et al.  Optimal power allocation for CRN-NOMA systems with adaptive transmit power , 2020, Signal Image Video Process..

[12]  E. Devyatkina,et al.  Electron irradiation resistance of the composite material structure based on ultra-high molecular polyethylene and boron carbide , 2019, Journal of Physics: Conference Series.

[13]  Siavash Bayat,et al.  Interference Management in D2D-Enabled Heterogeneous Cellular Networks Using Matching Theory , 2019, IEEE Transactions on Mobile Computing.

[14]  Zhiguo Ding,et al.  Joint User Pairing, Mode Selection, and Power Control for D2D-Capable Cellular Networks Enhanced by Nonorthogonal Multiple Access , 2019, IEEE Internet of Things Journal.

[15]  Koji Ishibashi,et al.  Massively Concurrent Non-Orthogonal Multiple Access for 5G Networks and Beyond , 2019, IEEE Access.

[16]  Daesik Hong,et al.  Partial Non-Orthogonal Multiple Access (P-NOMA) , 2019, IEEE Wireless Communications Letters.

[17]  Jeongyeup Paek,et al.  Resource-aware relay selection for inter-cell interference avoidance in 5G heterogeneous network for Internet of Things systems , 2019, Future Gener. Comput. Syst..

[18]  Feng Liu,et al.  Interference management for D2D communications in heterogeneous cellular networks , 2018, Pervasive Mob. Comput..

[19]  H. Vincent Poor,et al.  Non-Orthogonal Multiple Access: Common Myths and Critical Questions , 2018, IEEE Wireless Communications.

[20]  Shabnam Sodagari,et al.  Performance Analysis of Non-Orthogonal Multiple Access With Underlaid Device-to-Device Communications , 2018, IEEE Access.

[21]  Lajos Hanzo,et al.  A Survey of Non-Orthogonal Multiple Access for 5G , 2018, IEEE Communications Surveys & Tutorials.

[22]  L. Hanzo,et al.  Non-Orthogonal Multiple Access: A Unified Perspective , 2018, IEEE Wireless Communications.

[23]  Lajos Hanzo,et al.  Nonorthogonal Multiple Access for 5G and Beyond , 2017, Proceedings of the IEEE.

[24]  Linglong Dai,et al.  On the Performance of NOMA-Based Cooperative Relaying Systems Over Rician Fading Channels , 2017, IEEE Transactions on Vehicular Technology.

[25]  Zhu Han,et al.  Spectrum Allocation and Power Control for Non-Orthogonal Multiple Access in HetNets , 2017, IEEE Transactions on Wireless Communications.

[26]  Octavia A. Dobre,et al.  Power-Domain Non-Orthogonal Multiple Access (NOMA) in 5G Systems: Potentials and Challenges , 2016, IEEE Communications Surveys & Tutorials.

[27]  Muriel Médard,et al.  Network coded software defined networking: enabling 5G transmission and storage networks , 2015, IEEE Communications Magazine.

[28]  Adrian Kliks,et al.  Spectrum and license flexibility for 5G networks , 2015, IEEE Communications Magazine.

[29]  Tommy Svensson,et al.  The role of small cells, coordinated multipoint, and massive MIMO in 5G , 2014, IEEE Communications Magazine.

[30]  Yu Song,et al.  Resource Allocation for Throughput Maximization in Cognitive Radio Network with NOMA , 2022, Computers, Materials & Continua.

[31]  Intelligent Technologies for Internet of Vehicles , 2021 .

[32]  Handbook of Research on Innovations and Applications of AI, IoT, and Cognitive Technologies , 2021, Advances in Computational Intelligence and Robotics.

[33]  Eklas Hossain,et al.  A Systematic Review on Cognitive Radio in Low Power Wide Area Network for Industrial IoT Applications , 2021, Sustainability.