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The rapid growth in the number and variety of connected devices requires 5Gwireless systems to cope with a very heterogeneous traffic mix. As aconsequence, the use of a fixed TTI during transmission is not necessarily themost efficacious method when heterogeneous traffic types need to besimultaneously serviced.This work analyzes the benefits of scheduling based onexploiting scalable TTI, where the channel assignment and the TTI duration areadapted to the deadlines and requirements of different services. We formulatean optimization problem by taking individual service requirements intoconsideration. We then prove that the optimization problem is NP-hard andprovide a heuristic algorithm, which provides an effective solution to theproblem. Numerical results show that our proposed algorithm is capable offinding near-optimal solutions to meet the latency requirements of missioncritical communication services, while providing a good throughput performancefor mobile broadband services.

An Examination of the Benefits of Scalable TTI for Heterogeneous Traffic Management in 5G Networks