Abstract
Smart home technologies are growing actively all around the world. As a result, great pressures are imposed on internet of things networks by dynamic traffic and plenty of devices. The passive optical network is considered one of the most promising fronthaul technologies. In particular, the time and wavelength division multiplexing passive optical network has shown the advantage of high capacity and received attention recently. In support of internet of things networks, the energy and transmission efficiency has emerged as an important issue on the time and wavelength division multiplexing passive optical network enabled fronthaul networks. In this paper, we try to enhance the energy and transmission efficiency of the time and wavelength division multiplexing passive optical network enabled reconfigurable fronthaul. Fronthaul links’ load balancing is also taken into consideration. An integer non-linear programming model is employed to formulate the joint optimization problem. We also provide an adaptive genetic algorithm-based approach with fast convergence. The simulation results show that the active units of fronthaul can be dynamically switched on/off with the traffic variation and a significant energy saving is achieved. In addition, the maximum transmission efficiency increases by 87% with integer non-linear programming method in off-peak periods.
Highlights
The artificial intelligence and multimedia enabled smart home significantly facilitates our daily life [1,2,3]
We consider a TWDM-passive optical network (PON) enabled centralized radio access network (C-RAN) system with N = 32 remote radio units (RRUs), each served by a one-to-one corresponding optical network unit (ONU)
It is known that the tidal effect is clear during the day in smart homes of office and residential
Summary
The artificial intelligence and multimedia enabled smart home significantly facilitates our daily life [1,2,3]. High dynamic and high peak-to-average ratio traffic is generated by the above services. The explosive growth of dynamic traffic imposes great pressure on internet of things (IoT) and related networks. Cisco’s research forecasted that billions of IoT connections will be added by 2023 [4]. The proliferation of diverse IoT devices may change the design of traditional. Sensors (including the video surveillance system) are connected to the gateway through short distance network connections, such as Wi-Fi, ZigBee, and NB-IoT [6]. In the Sensors 2020, 20, 6245; doi:10.3390/s20216245 www.mdpi.com/journal/sensors
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