Acta Metallurgica Sinica(English letters) ›› 2012, Vol. 19 ›› Issue (4): 49-55.doi: 10.1016/S1005-8885(11)60282-3

• Wireless • 上一篇    下一篇

Adaptive power control and beam-forming joint optimization in cognitive radio networks

褚红发 喻丹 李楠 牛凯 吴伟陵   

  1. Key Laboratory of Universal Wireless Communication, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing 100876, China
  • 收稿日期:2012-01-10 修回日期:2012-06-05 出版日期:2012-08-31 发布日期:2012-09-12
  • 通讯作者: 褚红发 E-mail:chuhongfa.bupt@gmail.com
  • 基金资助:

    work was supported by the National Basic Research Program of China (2009CB320 This 401), the Next Generation Broadband Wireless Mobile Communication Network of Major Special Projects (2010ZX03003-001, 2012ZX03004-002), the National Natural Science Foundation of China (61171100).

Adaptive power control and beam-forming joint optimization in cognitive radio networks

CHU Hong-fa,XU Dan,LI Nan,NIU Kai, WU Wei-ling   

  1. Key Laboratory of Universal Wireless Communication, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing 100876, China
  • Received:2012-01-10 Revised:2012-06-05 Online:2012-08-31 Published:2012-09-12
  • Contact: Hongfa Chu E-mail:chuhongfa.bupt@gmail.com
  • Supported by:

    work was supported by the National Basic Research Program of China (2009CB320 This 401), the Next Generation Broadband Wireless Mobile Communication Network of Major Special Projects (2010ZX03003-001, 2012ZX03004-002), the National Natural Science Foundation of China (61171100).

摘要:

novel adaptive power control and beam-forming joint optimization algorithm is proposed in cognitive radio (CR) underlay networks, where cognitive network share spectrum with primary network which spectrum is licensed. In this paper, both primary base station (PBS) and cognitive base station (CBS) are all equipped with multi antennas, while each primary user (PU) and cognitive user (CU) has only one antenna. Different from traditional algorithms, an adaptive weight factor generating solution is supplied to different access users (both PUs and CUs) in this paper, and the different priority of users is also considered, because PUs have higher priority, the weight factor of PUs is fixed as constant and signal-to-interference and noise ratio (SINR) threshold is unchanged, while for CUs, it is set adaptively and SINR threshold is also changed accordingly. Using this algorithm, the transmit power is decreased, which relax the strict requirements for power amplifier in communication systems. And moreover, owing to PUS has fixed SINR threshold, the calculated SINR at receiver is nearly unchanged, but for CUs, the SINR is changing with the adaptive weight factor. Under the assurance of quality of service (QoS) of PUs, the solution in this paper can enable CRs access to the CR network according to adaptive SINR threshold, therefore which supplies higher spectrum utilization efficiency.

关键词:

cognitive radio, power control, beam-forming, joint optimization, primary user, cognitive user

Abstract:

novel adaptive power control and beam-forming joint optimization algorithm is proposed in cognitive radio (CR) underlay networks, where cognitive network share spectrum with primary network which spectrum is licensed. In this paper, both primary base station (PBS) and cognitive base station (CBS) are all equipped with multi antennas, while each primary user (PU) and cognitive user (CU) has only one antenna. Different from traditional algorithms, an adaptive weight factor generating solution is supplied to different access users (both PUs and CUs) in this paper, and the different priority of users is also considered, because PUs have higher priority, the weight factor of PUs is fixed as constant and signal-to-interference and noise ratio (SINR) threshold is unchanged, while for CUs, it is set adaptively and SINR threshold is also changed accordingly. Using this algorithm, the transmit power is decreased, which relax the strict requirements for power amplifier in communication systems. And moreover, owing to PUS has fixed SINR threshold, the calculated SINR at receiver is nearly unchanged, but for CUs, the SINR is changing with the adaptive weight factor. Under the assurance of quality of service (QoS) of PUs, the solution in this paper can enable CRs access to the CR network according to adaptive SINR threshold, therefore which supplies higher spectrum utilization efficiency.

Key words:

cognitive radio, power control, beam-forming, joint optimization, primary user, cognitive user

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