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Optimal Ad Hoc Power Control Algorithm Based on Outage Probability
YunLi,Shanlin Sun,Xunjun Wang,Zhiyan Sun 보안공학연구지원센터 2016 International Journal of Future Generation Communi Vol.9 No.3
Due to the question about the distribution of the randomness, mobility and mutual interference between nodes in the wireless networks may be difficult to achieve power control accurately. Therefore, propose a power control algorithm based on minimizing interrupt probability. The algorithm which be based on random geometric network model, under ensuring receiving in the receiver by getting the SIR value, adjusts transmit power. Simulation results show that the algorithm not only can solve the problem of the distribution of the nodes in a wireless net- work, can also according to the channel decline, transmitter was adjusted dynamically in real time. Deduce approximate expression of Interrupt probability transmission capacity. Under meet minimum interrupt probability and maximum transmission capacity, deduce power control expression. By this algorithm, the outage probability decreased by 14.8%, the transmission capacity is increased by 15.6%.
Ji, Jianbo,Chen, Wen,Sun, Shanlin The Korea Institute of Information and Commucation 2013 Journal of communications and networks Vol.15 No.6
In this paper, we investigate the capacity of a multipoint-to-point cognitive radio network. In existing works, the asymptotic capacity is only obtained in the high peak power region at secondary transmitter (ST) or obtained without considering the interference from primary transmitter (PT) for easy analysis. Here, we analyze the asymptotic capacity by considering an arbitrary peak power at the ST and the interference from the PT based on extreme value theory. Simulation results show that our approximated capacity is well-matched to the exact capacity. Furthermore, the scaling law of our capacity is found to be double logarithm of the number of secondary users.
Jianbo Ji,Wen Chen,Shanlin Sun 한국통신학회 2013 Journal of communications and networks Vol.15 No.6
In this paper, we investigate the capacity of a multipointto-point cognitive radio network. In existing works, the asymptoticcapacity is only obtained in the high peak power region at secondarytransmitter (ST) or obtained without considering the interferencefrom primary transmitter (PT) for easy analysis. Here, weanalyze the asymptotic capacity by considering an arbitrary peakpower at the ST and the interference from the PT based on extremevalue theory. Simulation results show that our approximatedcapacity is well-matched to the exact capacity. Furthermore, thescaling law of our capacity is found to be double logarithm of thenumber of secondary users.