Decentralized power allocation for secondary random access in cognitive radio networks with successive interference cancellation
Decentralized power allocation for secondary random access in cognitive radio networks with successive interference cancellation
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DOI：
10.1109/icc.2016.7511003
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发表时间：
2016-05
期刊：
影响因子：
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通讯作者：
Huifa Lin;K. Ishibashi;Won-Yong Shin;T. Fujii
中科院分区：
文献类型：
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作者：
Huifa Lin;K. Ishibashi;Won-Yong Shin;T. Fujii
针对认知网络中次用户上行随机接入问题，研究了一种分布式功率分配算法。首先，针对加性白色高斯噪声信道，提出了一种新的算法，该算法能够获得离散的功率电平并优化相应的概率，从最低功率电平到最高功率电平逐层迭代。在衰落环境下，我们进一步提出了一个机会传输协议，以减少在主基站的干扰温度，通过分配功率只给次要用户谁会导致小的干扰。所提出的算法通过计算机仿真进行了验证。
This paper studies a decentralized power allocation for uplink random access of secondary users in cognitive network with successive interference cancellation. First, for the additive white Gaussian noise channel, we propose a novel algorithm, which enables to obtain discrete power levels and optimize the corresponding probabilities, iterating per-level from the lowest power level to the highest one. Under a fading environment, we further propose an opportunistic transmission protocol to reduce the interference temperature at the primary base station, by allocating powers only to the secondary users who will result in small interference. The proposed algorithms are verified via computer simulations.