Priority-Aware Resource Allocation for 5G mmWave Multicast Broadcast Services

5G Multicast Broadcast Services (MBS) are viewed as a promising New Radio (NR) application, standardization begins in 3GPP Release 17. With MBS, one next generation Node B (gNB) delivers data to multiple user equipments (UE) simultaneously, thus improving spectrum efficiency. Millimeter wave (mmWave) beamforming further enhances system performance by focusing signals dedicated direction. However, despite the advantages, we identify three issues of multicast with techniques. First, link directionality causes gNB transmit over beams sequentially, resulting combinatorial resource allocation problem. Confronting this beam scheduling issue, develop an optimization algorithm that obtains optimal solution polynomial time. Second, UEs may falsely report their valuations resources gain more utility. Under scenario, cannot allocate those need due lack accurate UE information. Therefore, propose Vickrey–Clarke–Groves (VCG) auction-based mechanism incentivize reveal truthfully. This guarantees efficiency and maximizes social welfare. Third, standards allow for different priorities flows, video content providers distinguish between ordinary premium UEs, take priority into account. In regard, extend valuation-based multi-priority one. Finally, mathematical analysis validates some desirable properties proposed scheme, such incentive-compatibility. Simulation results also justify our superior MBS compared other schemes.