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The increasingly diversified Quality-of-Service (QoS) requirements envisionedfor future wireless networks call for more flexible and inclusive multipleaccess techniques for supporting emerging applications and communicationscenarios. To achieve this, we propose a multi-dimensional multiple access(MDMA) protocol to meet individual User Equipment's (UE's) unique QoS demandswhile utilizing multi-dimensional radio resources cost-effectively. In detail,the proposed scheme consists of two new aspects, i.e., selection of a tailoredmultiple access mode for each UE while considering the UE-specific radioresource utilization cost; and multi-dimensional radio resource allocationamong coexisting UEs under dynamic network conditions. To reduce theUE-specific resource utilization cost, the base station (BS) organizes UEs withdisparate multi-domain resource constraints as UE coalition by considering eachUE's specific resource availability, perceived quality, and utilizationcapability. Each UE within a coalition could utilize its preferred radioresources, which leads to low utilization cost while avoiding resource-sharingconflicts with remaining UEs. Furthermore, to meet UE-specific QoS requirementsand varying resource conditions at the UE side, the multi-dimensional radioresource allocation among coexisting UEs is formulated as an optimizationproblem to maximize the summation of cost-aware utility functions of all UEs. Asolution to solve this NP-hard problem with low complexity is developed usingthe successive convex approximation and the Lagrange dual decompositionmethods. The effectiveness of our proposed scheme is validated by numericalsimulation and performance comparison with state-of-the-art schemes. Inparticular, the simulation results demonstrate that our proposed schemeoutperforms these benchmark schemes by large margins.

Multi-Dimensional Multiple Access with Resource Utilization Cost Awareness for Individualized Service Provisioning in 6G