Cross‐layer optimization for full‐duplex cognitive radio network with cooperative spectrum sensing

Abstract

In this paper, the cross-layer optimal design of multihop ad hoc network employing full-duplex cognitive radios (CRs) is investigated. Firstly, the analytical expressions of cooperative spectrum sensing performance for multihop CR networks over composite fading channels are derived. Then, the opportunistic throughput and transmit power of CRs are presented based on the derivation of false alarm and missed detection probability. Finally, a multiobjective optimization model is proposed to maximize the opportunistic throughputs and minimize the transmitting power. Simulation results indicate that Pareto optimal solution of sensing duration, decision threshold, and transmit power can be achieved by cross-layer multiobjective optimization, it can balance the conflicts between different objective functions and reap the acceptable outcomes for multihop CR network.

Intelligent threshold selection in fading environment of cognitive radio network: Advances in throughput and total error probability

“…However, Atmaca et al 33 have employed K-out-of-M rule at FC and obtained the optimum value of K to maximize the throughput of CU while employing carrier sense multiple access (CSMA) technique in CRN. However, to maximize the throughput of CU under CSS, several researchers 34,42,43 have proposed different algorithms while employing multiobjective optimization model under the constraint of optimal sensing time, detection threshold, transmit power of CU, and number of cooperative users. However, to maximize the throughput of CU under CSS, several researchers 34,42,43 have proposed different algorithms while employing multiobjective optimization model under the constraint of optimal sensing time, detection threshold, transmit power of CU, and number of cooperative users.…”

“…Moreover, Lu et al 41 have improved the detection probability of CU through employing adaptive sensing window and spectrum utilization by allowing simultaneous sensing and data transmission in CSS. However, to maximize the throughput of CU under CSS, several researchers 34,42,43 have proposed different algorithms while employing multiobjective optimization model under the constraint of optimal sensing time, detection threshold, transmit power of CU, and number of cooperative users. Moreover, it has been illustrated that the performance of CSS degraded under PU emulation attack.…”

A directly seeking spectrum holes algorithm by compressive sampling

“…Recently, the cognitive radio (CR) has attracted much attention due to its capability of exploiting spectral holes (SHs) and improving spectral utilization efficiency. The viewpoint that the purpose of CR is seeking spectrum holes (SHs) to improve the spectral efficiency has been pointed out in many papers . In the paper, Lu et al have pointed out that spectrum sensing enables secondary users (SUs) to identify the SHs, which is a critical element in CR design.…”

“…The viewpoint that the purpose of CR is seeking spectrum holes (SHs) to improve the spectral efficiency has been pointed out in many papers. [1][2][3][4][5][6][7][8][9][10][11][12][13][14] In the paper, 10 Lu et al have pointed out that spectrum sensing enables secondary users (SUs) to identify the SHs, which is a critical element in CR design. Several strategies have been proposed in the literature for the spectrum sensing, such as energy detection (ED), matched filter detection, autocorrelation, and cyclostationary feature detection.…”