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The explosive growth of data results in more scarce spectrum resources. It isimportant to optimize the system performance under limited resources. In thispaper, we investigate how to achieve weighted throughput (WTP) maximization forcell-free (CF) multiuser MIMO (MU-MIMO) multicarrier (MC) systems throughresource allocation (RA), in the cases of finite blocklength (FBL) and infiniteblocklength (INFBL) regimes. To ensure the quality of service (QoS) of eachuser, particularly for the block error rate (BLER) and latency in the FBLregime, the WTP gets maximized under the constraints of total power consumptionand required QoS metrics. Since the channels vary in different subcarriers(SCs) and inter-user interference strengths, the WTP can be maximized byscheduling the best users in each time-frequency (TF) resource and advancedbeamforming design, while the resources can be fully utilized. With thismotivation, we propose a joint user scheduling (US) and beamforming designalgorithm based on the successive convex approximation (SCA) and gene-aided(GA) algorithms, to address a mixed integer nonlinear programming (MINLP)problem. Numerical results demonstrate that the proposed RA outperforms thecomparison schemes. And the CF system in our scenario is capable of achievinghigher spectral efficiency than the centralized antenna systems (CAS).

Resource Allocation in Cell-Free MU-MIMO Multicarrier System with Finite and Infinite Blocklength