Optimal power control and spectrum sensing for throughput maximisation in cognitive radio systems under PUEA

Sum‐rate optimization scheme for time‐varying distributed MU‐MIMO systems

“…Recently, the spectrum efficiency in distributed antenna systems has begun to be studied extensively [7, 8]. In [9], an optimal scheme based on beamforming and power allocation was proposed for single‐user MIMO distributed antenna systems.…”

“…Simulation results show that the proposed algorithms can effectively improve the sum-rate compared to other algorithms. Simulation results also show that OSA is superior to CMSA in the sum-rate, and the channel state information (CSI) coefficient has little effect on OSA and CMSA.1 Recently, the spectrum efficiency in distributed antenna systems has begun to be studied extensively [7,8]. In [9], anThis is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.…”

“…1 Recently, the spectrum efficiency in distributed antenna systems has begun to be studied extensively [7,8]. In [9], an…”

Enhanced physical layer security for cognitive radio systems through joint spectrum access and power allocation

“…The performance and the QoS achieved at both PU and SU is highly dependent to the efficiency of spectrum sensing technique used in the CR network. The two main metrics governing the efficiency of the spectrum sensing are probability of detection and probability of false‐alarm [6, 7]. Sensing imperfections increase the possibilities of miss‐detection and false‐alarm, leading to outage events at both PU and SUs.…”