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The significant improvement of 5G technology will be a huge driving force for the Internet of Things (IoT). Furthermore, the concept of network slice provides the possibility of customization for IoT applications. How to optimize resource allocation in multiple scenarios has become a challenge we are facing. In this paper, we propose a bandwidth resource’s dynamic allocation scheme which is suitable for both Enhance Mobile Broadband (eMBB) scenario and Ultra Reliable and Low Latency Communication (uRLLC) scenario. Based on the classical Software Defined Network (SDN) architecture, admission control is introduced to maintain the resource utilization of the network, and the delay penalty factor we set can guarantee the low delay of the network. Besides, we make a tradeoff between the benefit and the cost of network when adjusting resources. Simulation results show that the algorithm can meet the performance requirements of different application scenarios while minimizing the cost of dynamic resource adjustment.

Both distribution network power loss and users' energy cost are taken into account in voltage control in this paper. According to the voltage characteristics of load and network loss, the feasibility of optimizing the users' energy cost and power loss by voltage control is discussed. On this basis, a voltage control model based on coordinative optimization of load and loss reduction of distribution network is established, considering the regulation capability and cost of on load tap changer (OLTC) transformers, distributed generators (DG) and capacitors. The improved particle swarm optimization (PSO) algorithm is used to obtain the optimal regulation capacity of the voltage regulating equipment at all times of a day. A topology simplification method of distribution network is studied to improve the practicability of the method. The simulative results of the actual distribution network verify the feasibility and effectiveness of the proposed method.

As the progress of wireless communication technology, WLAN and Zigbee are more frequently utilized in our apartments. Because of using the same frequency band, radio interferences will more or less impact on the Zigbee network for its characteristic of low-power consumption. In this paper with smart home as context, an interferences analysis between Zigbee and WLAN is suggested. A series of tests was to explore the relation between apartments and performance of Zigbee system. Then a hybrid network smart home base on Zigbee and smart plugs is proposed to avoid the shortcomings of radio interferences of pure Zigbee network. Compare with pure Zigbee smart home, smart home base on Zigbee and smart plugs uses power line communications (PLC) as backbone network to transmit data.

TSV (Through-silicon Via) meets the demands of high speed and low power consumption in 3D integrated circuits. However it faces challenge in signal integrity problem such as crosstalk. TSV to TSV coupling is the most significant crosstalk problem in TSV based 3D ICs. This paper presents a quantitative estimation on the TSV to TSV crosstalk induced interconnect delay, trying to find the worst interconnect delay and increase circuit crosstalk tolerance. We simplifies the existing TSV to TSV crosstalk model with TSV parasitic parameters. This model is validated by finite element simulation tool. Using this model, we calculate output signal voltage response and crosstalk signal voltage response. Adding these voltage response together, time continuous output signal voltage equation can be obtained. From this equation, we can easily calculate the circuit delay. The simulation result shows that interconnect delay increases at most 85.73% because of TSV to TSV coupling, which cannot be negligible in static timing analysis (STA). Our simulation result is reliable since it has only 5.3% deviation compared to Spice simulation result. And our method is faster than Spice simulation theoretically.