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Unmanned aerial vehicles (UAVs) are widely used in military due to the hostile environment and safety concern. To tackle the challenges on UAV communications, millimeter wave (MMwave) communication has been considered as a potential solution for both security and high throughput capability. However, insufficient research has been carried out for MMwave communications on drone, and no widely recognized...
In this paper, we study the quality-of-service (QoS) support for realtime traffic in cognitive radio (CR) networks when spectrum availability and quality is not known a priori. A resource-constrained CR relies on sequential channel sensing and probing to resolve spectrum uncertainty and search for good transmission opportunities in real time. We are interested in maximizing the effective throughput...
Energy efficiency is always an essential concern in modern wireless communication systems. Energy harvesting is a promising technique and can substantially extend the lifetime of power-critical wireless systems such as wireless sensors. Unlike the traditional battery powered system, the system utilizing energy harvesting usually has a smaller battery or merely a super-capacitor. Rather than the limitation...
A Space-Time Turbo Bayesian Compressed Sensing (STTBCS) algorithm is proposed for Ultra-Wideband (UWB) systems in this paper. Based on the sparsity of UWB signals, the STTBCS algorithm provides an efficient approach for integrating spatial and temporal redundancies. A space-time structure is also designed for exploiting and transferring the spatial and temporal \emph{a priori} information for signal...
The problem of Compressed Sensing (CS) based multiple access is studied under the assumption of random data traffic. In many multiple access systems, e.g. Wireless Sensor Networks (WSNs), data arrival is random due to the bursty data traffic for every transmitter. Following the recently developed Compressive Sensing methodology, the technique of compressing the transmitter identities into data transmissions...
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