Energy-Efficient Resource Allocation with Flexible Frame Structure for Heterogeneous Services

The key objective of the fifth generation (5G) wireless technology is to support services with vastly variable requirements, which necessitates the flexible numerology and frame structure for radio resource allocation. In this paper, flexible 2-dimensional resource allocation is investigated to maximize the energy efficiency (EE) for service transmissions with heterogeneous latency requirements. Exploiting the frequency and time diversities of the resource grid, frequency-selective resource allocation, together with an agile "on-off" operation of the power amplifier (PA) are performed by the proposed sliding window-based (SW) algorithm with scalability. Simulation results further demonstrate that the SW algorithm can achieve similar EE performance as the exhaustive method with a substantially lower complexity.