Ergodic capacity and outage probability optimization for secondary user in cognitive radio networks under interference outage constraint |
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| Affiliation: | 1. Wireless Communication Key Lab of Jiangsu Province and Key Lab of Broadband Wireless Communications and Sensor Network Technology, Ministry of Education, Nanjing University of Posts and Telecommunications, Nanjing, China;2. School of Computer Science & Technology, Nanjing University of Posts and Telecommunications, Nanjing, China;1. The EHF Key Lab of Science, School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China;2. China Academy of Space Technology (CAST), National Key Laboratory of Space Microwave Technology, Xi’an 710000, China;1. Faculty of Electrical Engineering, University of Banja Luka, Banja Luka, Bosnia and Herzegovina;2. Department of Electronics and Telecommunications, Norwegian University of Science and Technology, Trondheim, Norway;3. RT-RK Institute for Computer Based Systems, Novi Sad, Serbia;1. Department of Electrical Engineering, King Saud University, Saudi Arabia;2. Department of Physics, University of Agriculture, Faisalabad, Pakistan;3. Department of Physics, Government College University, Faisalabad, Pakistan;4. Department of Electronics, Quaid-i-Azam University, Pakistan;1. Department of Measurement Control and Information Technology, School of Instrumentation Science and Optoelectronics Engineering, Beihang University, Beijing 100191, PR China;2. Département d’Electronique, Faculté des Sciences de l’Ingénieur, Université Djilali Liabès de Sidi Bel Abbès, Sidi Bel Abbès 22000, Algeria |
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| Abstract: | This paper considers a cognitive radio network where a secondary user (SU) coexists with a primary user (PU). The interference outage constraint is applied to protect the primary transmission. The power allocation problem to jointly maximize the ergodic capacity and minimize the outage probability of the SU, subject to the average transmit power constraint and the interference outage constraint, is studied. Suppose that the perfect knowledge of the instantaneous channel state information (CSI) of the interference link between the SU transmitter and the PU receiver is available at the SU, the optimal power allocation strategy is then proposed. Additionally, to manage more practical situations, we further assume only the interference link channel distribution is known and derive the corresponding optimal power allocation strategy. Extensive simulation results are given to verify the effectiveness of the proposed strategies. It is shown that the proposed strategies achieve high ergodic capacity and low outage probability simultaneously, whereas optimizing the ergodic capacity (or outage probability) only leads to much higher outage probability (or lower ergodic capacity). It is also shown that the SU performance is not degraded due to partial knowledge of the interference link CSI if tight transmit power constraint is applied. |
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| Keywords: | Cognitive radio Ergodic capacity Outage probability Power allocation |
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