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Multi-user Cognitive OFDM with Adaptive Sub-carrier and Power Allocation

机译:具有自适应子载波和功率分配的多用户认知OFDM

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Multi-user cognitive orthogonal frequency division multiplexing (MU-COFDM) is a promising technique for achieving high transmission capacity in future cellular and wireless local area network (VVLAN) systems. Multi-user resource allocation with the target of maximizing the transmit capacity of cognitive users and satisfying the proportional rate constraint between cognitive users is proposed under the condition of primary user's interference constraint. Since the optimal solution to the problem is extremely computationally complex to obtain, a low-complexity suboptimal algorithm that separates sub-carrier allocation and power allocation is proposed. In the proposed algorithm, sub-carrier allocation is first performed by assuming an equal power distribution, and then each sub-carrier is assigned to the user with the best sub-carrier efficiency function. After sub-carrier allocation, we use best to be better algorithm and linear waterfilling to inject power. The proposed algorithm is shown to be superior to the traditional power allocation algorithm, while reducing the complexity from exponential to linear in the number of subcarriers.
机译:多用户认知正交频分复用(MU-COFDM)是一种有前途的技术,可以在未来的蜂窝和无线局域网(VVLAN)系统中实现高传输容量。提出了在最大用户干扰约束条件下,以最大化认知用户传输能力,满足认知用户之间比例比例约束为目标的多用户资源分配方法。由于获得该问题的最佳解决方案在计算上极其复杂,因此提出了一种将子载波分配和功率分配分开的低复杂度次优算法。在提出的算法中,首先通过假设功率分布相等来进行子载波分配,然后将每个子载波分配给具有最佳子载波效率函数的用户。在分配子载波之后,我们将使用最好的更好的算法和线性注水来注入功率。所提出的算法显示出优于传统的功率分配算法,同时将子载波数量的复杂度从指数级降低到线性级。

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