Cooperative Localization Based Interference Avoidance in Cognitive Radio Networks
Cooperative Localization Based Interference Avoidance in Cognitive Radio Networks
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DOI：
10.1109/icc42927.2021.9500642
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发表时间：
2021-06
期刊：
影响因子：
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通讯作者：
Muhammad Farooq-i-Azam;Q. Ni;M. Dong;H. Pervaiz
中科院分区：
文献类型：
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作者：
Muhammad Farooq-i-Azam;Q. Ni;M. Dong;H. Pervaiz
在认知无线网络中，主、从用户的位置和用户之间的距离对从网络对主网络用户的干扰起着重要的作用。在这项工作中，我们利用协同定位来估计节点之间的距离，然后使用传输功率控制来避免干扰。使用协作模型估计主、从用户之间的距离。其次，调整辅助用户的发射功率，使其不会对主用户造成干扰。仿真结果验证了该算法的有效性。结果表明，由于减少了二次网络的干扰，主用户获得了相当大的吞吐量增益，从而提高了信噪比。
Positions of primary and secondary users and the distance between them in a cognitive radio network play an important role in the interference caused by the secondary network to the users in the primary network. In this work, we exploit cooperative localization to estimate the distance between the nodes and then use transmission power control for interference avoidance. The distance between the primary and secondary users is estimated using a cooperative model. Next, the transmission power of the secondary user is adjusted so that it does not cause interference to the primary user. The proposed algorithm is verified by simulations. Results show that the primary user achieves considerable gain in the throughput as a result of increase in the signal to interference and noise ratio due to reduction in the interference caused by the secondary network.