Optimal Channel Allocation with Scalable TTI for Heterogeneous Services
The rapid growth in the number of varieties of connected devices requires 5G wireless systems to cope with a very heterogeneous traffic mix. As a consequence, the use of a fixed Transmission Time Interval (TTI) during transmission is not necessarily the most efficacious method for the simultaneous service of such traffic. This work analyses the benefits of a centralized scheduling approach by exploiting scalable TTI, where the channel assignment and the TTI duration are adapted to the requirements of different services. We formulate an optimization problem by taking individual service requirements into consideration. We then prove that the optimization problem is NP-complete and provide a heuristic algorithm, which provides an effective solution to the problem. Numerical results show that our proposed algorithm is capable of finding near-optimal solutions, to meet the latency requirements of mission critical communication services, while providing a good performance of throughput of the mobile broadband services.