User Grouping with Fairness Consideration in Massive MIMO System with Varying Channel Quality

In recent years, the demand for higher communication capacity in wireless networks has led to the development of massive multiple-input multiple-output (MIMO) systems. Al-though there have been some researches on addressing the multi-user resource allocation problem in these systems, they are not suitable for the situation where the channel quality of users varies greatly. To solve the resource allocation problem with fairness consideration in the context of high variation in user channel qualities, we propose a new resource allocation method based on user grouping. We first calculate the average channel quality (ACQ) of each user and group them accordingly. Then, different allocation methods are adopted for users with varying channel qualities. Additionally, we found that using the sum of logarithms of every user's rate (SLR) as the fairness metric can adapt to different situations automatically. Simulation results demonstrate that the proposed algorithm achieves high system throughput while maintaining fairness.