This letter presents a dual-band Gysel power divider (PD) with different power dividing ratios. Unlike traditional dual-band Gysel PDs, the power dividing ratios of proposed PD are determined by both electrical lengths and characteristic impedance of transmission lines. The proposed circuit is analyzed based on transmission line theory and design equations are derived. For illustration, a prototype operating at 1 and 2 GHz is designed and measured. The concept has been verified by the measured results.

A wideband substrate integrated waveguide (SIW) power divider with enhanced out‐of‐band rejection is proposed. Periodic butterfly radial slots are etched on top layer of SIW to realise a pass‐band combining with high‐pass characteristics of SIW. An experimental circuit has been fabricated by the standard printed circuit board process. Simulated results are compared with measured data and good agreement is reported.

A planar out‐of‐phase Gysel power divider (PD) with high power splitting ratio based on shorted coupled lines is proposed. The design parameters of the proposed PD are analysed according to transmission line theory. For illustration, a 2 GHz experimental circuit with power dividing ratio of 10:1 is designed and fabricated. The measured results are shown in good agreements with the simulated ones.

A novel dual‐band bandpass filter (BPF) based on a single triple‐mode ring resonator is proposed. The proposed BPF could provide three transmission poles for each passband to improve operating bandwidth. Meanwhile, seven transmission zeros are achieved at the stopband to improve the selectivity. The proposed dual‐band BPF was designed, fabricated and tested. The measured results are in good agreement with the simulated values.

The introduction of mobile edge computing (MEC) in vehicular network has been a promising paradigm to improve vehicular services by offloading computation‐intensive tasks to the MEC server. To avoid the overload phenomenon in MEC server, the vast idle resources of parked vehicles can be utilized to effectively relieve the computational burden on the server. Furthermore, unbalanced load allocation may cause larger latency and energy consumption. To solve the problem, the reported works preferred to allocate workload between MEC server and single parked vehicle. In this paper, a multiple parked vehicle‐assisted edge computing (MPVEC) paradigm is first introduced. A joint load balancing and offloading optimization problem is formulated to minimize the system cost under delay constraint. In order to accomplish the offloading tasks, a multiple offloading node selection algorithm is proposed to select several appropriate PVs to collaborate with the MEC server in computing tasks. Furthermore, a workload allocation strategy based on dynamic game is presented to optimize the system performance with jointly considering the workload balance among computing nodes. Numerical results indicate that the offloading strategy in MPVEC scheme can significantly reduce the system cost and load balancing of the system can be achieved.