Joint Bandwidth and Power Allocation for Energy Efficiency Optimization Over Heterogeneous LTE/WiFi Multi-Homing Networks
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abstract
2017 IEEE. We propose an energy-efficient joint bandwidth and power allocation scheme for heterogeneous Long Term Evolution (LTE) and WiFi multi-homing networks, where multi- mode user terminals can transmit their traffic data by employing both LTE base station and WiFi access point. Considering the different scenarios of terminals, we divide the mobile users of interest into two groups based on their locations, i.e., single-homed users and multi-homed users. To improve the energy efficiency (EE) performance of networks, we formulate the optimization problem, which maximizes system EE with the constrained bandwidth, battery capacity and the required quality of service. To overcome the difficulties stemming from solving non-linear fractional programming, we use the Dinkelbach's parametric approach to convert the original optimization problem into a convex one. Furthermore, by applying the Lagrange duality principle, we obtain the optimal solutions for both bandwidth and power allocations. The simulation results finally validate our derived theoretical analyses and evaluate the effectiveness of our proposed energy- efficient joint allocation algorithm.
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2017 IEEE Wireless Communications and Networking Conference (WCNC)
