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Transmit power optimization or power control plays an important role in implementing wireless relay networks since it can significantly improve system performance, such as transmission rate, power consumption, etc. However, power optimization introduces considerable control channel overheads due to exchanging channel state information (CSI) and optimization results. In this paper, we aim to design...
In this paper, two algorithms are proposed to determine the optimal locations of mobile relay stations (MRSs) in relay-aided cellular networks, aiming at maximizing energy efficiency (EE) while guaranteeing the spectral efficiency (SE) requirement and the signal-to-interference-plus-noise ratio (SINR) constraints of MRSs. First, an interference graph construction method is proposed to calculate the...
Many cooperative spectrum sensing schemes in cognitive radio networks have been proposed. However, aggregation node selection was rarely considered which can improve the performance of cooperative spectrum sensing. We consider a cognitive radio network consisting of a primary user and multiple cognitive users. One of the cognitive users will be selected as the aggregation node which directly receives...
Many earlier works have studied the problem of cooperative spectrum sensing in cognitive radio networks. However, relay selection was not considered which can improve the performance of cooperative communication systems. In this paper, the detection probability and false alarm probability are evaluated when relay selection is executed for cooperative spectrum sensing in cognitive radio networks. The...
The problem of chaotic signal reconstruction in wireless sensor networks is studied. The sensors observe a common chaotic signal in a sensing field. The observations are gathered in a fusion center which is responsible for reconstructing the chaotic signal. Due to the bandwidth constraint of sensors, the observations are quantized and the quantized data are sent to the fusion center. The fusion center...
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