TIIS (한국인터넷정보학회)
Current Result Document :
| 한글제목(Korean Title) |
Spatial Correlation-based Resource Sharing in Cognitive Radio SWIPT Networks |
| 영문제목(English Title) |
Spatial Correlation-based Resource Sharing in Cognitive Radio SWIPT Networks |
| 저자(Author) |
Mei Rong
Zhonghua Liang
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| 원문수록처(Citation) |
VOL 16 NO. 09 PP. 3172 ~ 3193 (2022. 09) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
Cognitive radio-simultaneous wireless information and power transfer (CR-SWIPT) has attracted much interest since it can improve both the spectrum and energy efficiency of wireless networks. This paper focuses on the resource sharing between a point-to-point primary system (PRS) and a multiuser multi-antenna cellular cognitive radio system (CRS) containing a large number of cognitive users (CUs). The resource sharing optimization problem is formulated by jointly scheduling CUs and adjusting the transmit power at the cognitive base station (CBS). The effect of accessing CUs’ spatial channel correlation on the possible transmit power of the CBS is investigated. Accordingly, we provide a low-complexity suboptimal approach termed the semi-correlated semi-orthogonal user selection (SC-SOUS) algorithm to enhance the spectrum efficiency. In the proposed algorithm, CUs that are highly correlated to the information decoding primary receiver (IPR) and mutually near orthogonal are selected for simultaneous transmission to reduce the interference to the IPR and increase the sum rate of the CRS. We further develop a spatial correlation-based resource sharing (SCRS) strategy to improve energy sharing performance. CUs nearly orthogonal to the energy harvesting primary receiver (EPR) are chosen as candidates for user selection. Therefore, the EPR can harvest more energy from the CBS so that the energy utilization of the network can improve. Besides, zero-forcing precoding and power control are adopted to eliminate interference within the CRS and meet the transmit power constraints. Simulation results and analysis show that, compared with the existing CU selection methods, the proposed lowcomplex strategy can enhance both the achievable sum rate of the CRS and the energy sharing capability of the network. |
| 키워드(Keyword) |
Cognitive radio
Resource sharing
SWIPT
Spatial correlation
User access control
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| 파일첨부 |
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