We explore the potential of optimizing resource allocation with flexible numerology in frequency domain and variable frame structure in time domain, with services of with different types of requirements. We prove the NP-hardness of the problem and propose a scalable optimization algorithm based on linear programming and Lagrangian duality. Numerical results show significant advantages of adopting flexibility in both time and frequency domains for capacity enhancement and meeting the requirements of mission critical services. Index Terms-Flexible TTI, 2D resource optimization.
The authors of REF investigated the optimizing resource allocation with flexible numerology in both frequency and time domains, and illuminated advantages for capacity enhancement and satisfaction of uRLLC service requirements.
Resource Optimization With Flexible Numerology and Frame Structure for Heterogeneous Services
IEEE Communications Letters
IEEE Communications Letters
Computer Science Mathematics