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Cooperative Feedback Bits Allocation and Transmit Power Control in Underlay Cognitive Radio Networks

机译:底层认知无线电网络中的协作反馈比特分配和发射功率控制

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摘要

In this paper, we consider an underlay cognitive radio network where the spectrum is shared with the primary network. Due to the coexistence of primary and secondary networks, primary users (PUs) are interfered with by the inter-network interference, at the same time secondary users (SUs) counteract the intra-network (inter-user) interference. Based on the cooperative feedback between the primary network and the secondary network, the secondary transmitter (ST) applies the cognitive beamforming to suppress the interference to PUs while improving the sum rate of SUs. We herein propose an adaptive feedback bits allocation among multiple PUs and SUs where the quantized channel direction information (CDI) for the interference channel is forwarded to the ST in order to utilize the beamforming. Moreover, based on the cognitive beamforming, we adjust the transmit power of the ST under the constraint of the average interference at PUs. To jointly solve the feedback bits allocation and the transmit power control problems, we formulate an optimization problem which requires a little iterations compared with the separated feedback bits allocation and the transmit power control problems. Numerical results show that the proposed scheme significantly improves the sum rate of SUs while satisfying the average interference constraint at PUs.
机译:在本文中,我们考虑了一个底层认知无线电网络,其中频谱与主要网络共享。由于主网络和辅助网络的共存,主要用户(PU)受到网络间干扰的干扰,同时辅助用户(SU)抵消了网络内(用户间)的干扰。基于主网络和辅助网络之间的协作反馈,辅助发射机(ST)应用认知波束成形来抑制对PU的干扰,同时提高SU的总和。我们在本文中提出了在多个PU和SU之间的自适应反馈比特分配,其中用于干扰信道的量化信道方向信息(CDI)被转发到ST以便利用波束形成。此外,基于认知波束成形,我们在PU处平均干扰的约束下调整ST的发射功率。为了共同解决反馈比特分配和发射功率控制问题,我们提出了一个优化问题,与分离的反馈比特分配和发射功率控制问题相比,该优化问题需要迭代。数值结果表明,该方案在满足PU平均干扰约束的同时,显着提高了SU的求和率。

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