Sensing‐throughput tradeoff for cooperative multiple‐input single‐output cognitive radio

Abstract

SUMMARYIn this paper, we propose a new cooperative multiple-input single-output (MISO) cognitive radio (CR) system, which can use some of the antennas to transmit its data and the others to help to transmit the data of the primary user (PU) by performing cooperative communication if the presence of the PU is detected through the cooperative spectrum sensing. A new cooperative sensing-throughput tradeoff model is proposed, which maximizes the aggregate rate of the CR by jointly optimizing sensing time and spatial sub-channel power, subject to the constraints of the aggregate rate of the PU, the false alarm and detection probabilities, the aggregate interference to the PU and the aggregate power of the CR. Simulation results show that compared with the conventional scheme, the proposed cooperative scheme can achieve the larger aggregate rate of the CR, while keeping the aggregate rate of the PU invariable with the increasing of the interference.

Queue stability and low energy for energy harvesting cognitive radio networks

“…In GoG algorithm first the power for PUs was initialized. After initializing the power, the queue using equation (6) was initialized for finding queue value that is substituted in the power equation (3) and the same process is repeated until it gets converged. In GoG, the constraints for rest of slots are average grid power budget given its priority for effective utilization.…”

“…The realization of spectrum utilization to rebuild sharing strategy was offered by cognitive radio (CR) as in Mitola and Maguire 1 and Mitola. 2 The optimization problem 3 for spectrum utilization considers network throughput as key metric, while the support for Green Communication mostly considers energy efficiency as main focus as in the literature. 4–9 In Zhang et al., 10 the cross-layer view for reaping energy toward end-to-end communication was studied.…”

Joint Sensing Times Detection Thresholds and Users Association Optimization in Multi-Channel Multi-Antenna Cognitive Radio Networks

“…The optimal values of the SS times, sensing thresholds and transmit power were obtained for increasing the throughput in multi-antenna CRNs subject to constraints on transmit power, 𝑃 𝑑 and 𝑃 𝑓 [26]. In a cooperative multiple-input single-output (MISO) CR system was proposed by Liu et al [27], some of the antennas are used to transmit the SU's data and the rest antennas for transmitting the PU's data. Kumar et al [28] enhanced the SE by using multi antennas CSS and minimizing the spectrum sensing error.…”

Interference analysis of cognitive radio networks

“…In some scenarios (e.g., [1][2][3]), the unlicensed users may even help relaying the licensed users' messages. In some scenarios (e.g., [1][2][3]), the unlicensed users may even help relaying the licensed users' messages.…”

“…To overcome the depletion of spectrum resources, some underutilized spectrum bands will need to be shared between licensed and unlicensed users. In some scenarios (e.g., [1][2][3]), the unlicensed users may even help relaying the licensed users' messages. Because both types of users coexist in the same region, they may interfere with each other.…”