Physical resource allocation strategy is a key factor affecting the performance of a mobile ad hoc network (MANET), which serves as a network model widely used in the sensor and detection field. For various perceived service information, it is significant for the allocation strategy to adapt to the dynamic service requirements and prioritize resource access for the service information with high priority to guarantee its real-time performance. In this paper, a novel dynamic time division multiple access (TDMA) scheduling strategy is proposed for MANETs. Firstly, a service priority-based dynamic TDMA scheduling (SP-DS) algorithm is presented, which introduces the service priority as a reference factor for slot allocation and fully considers the transmission throughput and end-to-end delay performance. Moreover, for improving the slot use of the whole system, a modified distributed color constraint heuristic (MD-CCH) scheme is presented to optimize the frame structure. The SP-DS and MD-CCH algorithms are combined to form the novel strategy. Simulation results have demonstrated that the proposed strategy has better performance in the slot use, slot allocation efficiency, end-to-end delay and transmission throughput compared with the existing slot allocation algorithms.

Digital predistortion (DPD) has been widely used to linearize the power amplifiers (PAs) by capturing the PA nonlinear distortion and pre-distorting the PA input. However, both the capturing and the signal processing procedures are time consuming and not applicable to fast frequency-hopping systems. This paper explores the feasibility of constructing a wideband signal to extract DPD coefficients for frequency-hopping systems. The frequency range of the wideband signal is designed to cover all hopping frequencies, as such the nonlinear characteristics of the PA at all hopping frequencies are included during the estimation of the DPD coefficients. Thus, only one set of coefficients is needed to linearize the PA over a wide frequency range. Experiment is performed on a self-designed testbed, which demonstrates that the proposed method can be used to effectively linearize the narrowband signals over different carrier frequencies.

Full duplex (FD) technology has its unique advantages of potentially doubling the spectrum efficiency and has been widely studied. The biggest challenge in FD technology is how to conduct an effective radio frequency (RF) self-interference cancellation (SIC) scheme. The traditional approach is to reconstruct all the interference signals and subtract them from the received signal. However, when applied in multi-antenna systems, the RF SIC complexity significantly increases with the antenna number. In this paper, a phased array-based FD transceiver is proposed which integrates both radar detection and wireless communication functions into a single device. In this transceiver, a simplified RF SIC architecture is proposed by exploring the structural symmetry of the phased array antenna deployed. Simulation results show that the proposed method can achieve the same SI cancellation as the traditional method with significant complexity reduction in RF SIC circuits design. Furthermore, as fewer RF circuits are used, less noise interference will be introduced. This method demonstrates a quite promising solution for FD design in multi-antenna applications.