Dynamic Power Allocation Strategies for Enhanced Performance in MIMO-NOMA-OQAM-FBMC Networks

In wireless networks, radio resources are typically allocated to users through Orthogonal Multiple Access (OMA) techniques. However, as the number of users grows, the performance of the network can be significantly enhanced by integrating Non-Orthogonal Multiple Access (NOMA) with a MIMO-NOMA-OQAM-FBMC system. NOMA offers notable improvements in key performance metrics, including outage probability, bit error rate (BER), spectral efficiency, and latency. This paper investigates the effect of NOMA, particularly when coupled with fair power allocation strategies, on the system’s performance, especially in terms of outage probability. The study compares fixed and dynamic power allocation schemes, assessing their impact on BER and achievable rates. The MIMO-NOMA-OQAM-FBMC system utilizes Successive Interference Cancellation (SIC) at the receiver to decode user data, a process that can be complex, especially when SIC is imperfect. In the dynamic power allocation approach, higher power is typically allocated to users who are further away, which may lead to increased outage probability for closer users. To address this, a novel fair power allocation technique is proposed that adjusts power distribution to minimize outage probability while meeting each user’s target rate and Signal-to-Noise Ratio (SNR) requirements. Simulation results demonstrate that the proposed power allocation strategy significantly improves outage probability compared to conventional methods, offering a more reliable and efficient solution for multi-user systems.