Implementation of NOMA Based 5G Mobile Wireless Networks in the Non-Asymptotic Regime
Keywords:
Heterogeneous QoS, 5G, eMBB, URLLC, NOMA, OFDMAAbstract
With the increasing demand for high-speed, reliable, and low-latency connectivity in 5G mobile wireless networks, novel techniques are being explored to meet these requirements. Non-Orthogonal Multiple Access (NOMA) and Heterogeneous Statistical-Quality of Service (QoS) driven resource allocations over millimeter-wave (mmWave) Massive Multiple-Input Multiple-Output (MIMO) are two promising approaches. This paper presents an implementation of NOMA-based 5G networks and compares its performance with an existing system that utilizes heterogeneous statistical-QoS driven resource allocation over mmWave Massive-MIMO. At the transmitter side, the implementation incorporates upper layer packets, NOMA, link layer, and physical layer, while at the receiver side, the physical layer, link layer, and upper layer packets are considered. NOMA transmission is employed between the transmitter and receiver, optimizing resource allocation and enhancing system capacity. The MATLAB 2013a version is used as the simulation tool, providing a comprehensive platform for system modeling and analysis. In addition, a comparative analysis is conducted with the existing system, which employs heterogeneous statistical-QoS driven resource allocation over mmWave Massive-MIMO. This approach leverages the statistical characteristics of wireless channels to allocate resources efficiently, catering to the diverse quality-of-service requirements of users. Through extensive simulations, various performance metrics such as spectral efficiency, system capacity, latency, and QoS are evaluated for both systems. The results provide insights into the advantages and limitations of each technique, facilitating a comprehensive understanding of their performance characteristics. The findings reveal that NOMA-based 5G networks exhibit notable improvements in spectral efficiency and system capacity compared to the existing system with heterogeneous statistical-QoS driven resource allocation over mmWave Massive-MIMO. However, trade-offs between different metrics must be carefully considered to achieve an optimal network design based on specific deployment scenarios and user requirements. This work contributes to the practical implementation of advanced techniques in 5G mobile wireless networks. The comparative analysis between NOMA-based networks and heterogeneous statistical-QoS driven resource allocation over mmWave Massive-MIMO assists in selecting the most suitable approach for various network scenarios, aiding in the ongoing efforts to enhance wireless communication systems.
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