Autonomous Distributed Power Control for Cognitive Radio Networks

Abstract

Abstract-In recent years, cognitive radio (CR) has received a great attention due to the ability to improve the spectrum utilization. It allows the secondary user (SU) in the CR network to opportunistically access the licensed spectrum of the primary user (PU). For this end, quality of service (QoS) requirements for both the PU and the SU should be guaranteed at the same time. These QoSs can be respectively translated into the interference temperature at the primary receiver and the received signalto-interference-plus-noise-ratio (SINR) of the secondary receiver. In such a CR network, a power control can increase the energy efficiency by keeping the transmission power of the SU as low as possible within the QoS requirements.In this paper, we propose an autonomous distributed power control scheme for CR networks that considers the QoS requirements of the PU and the SU simultaneously. Since the transmission power of each SU is constrained so that the interference temperature at the primary receiver caused by all SUs does not exceed the interference tolerance of the PU, the QoS requirement for the PU is always guaranteed. Through the simulation results, we demonstrate that the proposed scheme never exceed the interference tolerance of the PU.Index Terms−Cognitive radio, quality of service, power control, distributed constrained power control, generalized distributed constrained power control

Autonomous Distributed Power Control in Multi-Channel Cognitive Femtocell Network: Feasibility and Convergence

“…Based on simulation result, the feasibility and convergence test was done on three types of DPC: DCPC [17], GDCPC [18] and the proposed HDCPC, as the sustainability of the research by Sooyeol [21]. This is because in Sooyeol [21] not discuss the feasibility and convergence system based on iterative methods, but only discusses the influence of the distance to interference and also the effect of distance on the number of supported users that are still able to be handled by the system.…”

“…This is because in Sooyeol [21] not discuss the feasibility and convergence system based on iterative methods, but only discusses the influence of the distance to interference and also the effect of distance on the number of supported users that are still able to be handled by the system.…”

“…This analysis was not performed on Sooyeol [21] because there are not applying the iteration method for power update process, so that the convergence of the system cannot be analyzed. In this study, the given SINR targets were 5 dB and 9.9 dB used to test the convergence of the system.…”

“…Convergence in this study included the analysis of the system speed in achieving converges with the change of SINR target. Moreover, this study is related to the research sustainability from Sooyeol [21], which discussed two methods namely DCPC [17] and GDCPC [18]. In Sooyeol [21] has not discussed the comparison of the two methods in terms of feasibility in transmit power of user, the achievement of the SINR target and the convergence rate.…”

“…Moreover, this study is related to the research sustainability from Sooyeol [21], which discussed two methods namely DCPC [17] and GDCPC [18]. In Sooyeol [21] has not discussed the comparison of the two methods in terms of feasibility in transmit power of user, the achievement of the SINR target and the convergence rate. However, each of these methods has disadvantages in terms of transmit power efficiency namely the use of maximum power at DCPC and forcing the user not to transmit at GDCPC.…”