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A novel multi-user low complexity bit allocation algorithm in cognitive OFDM networks based on AM-GM inequality

机译:基于AM-GM不等式的认知OFDM网络中多用户低复杂度比特分配新算法

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Multi-user cognitive orthogonal frequency division multiplexing (C-OFDM) is an extremely promising technique for achieving high transmission capacity in the next generation cellular and wireless local area network (WLAN) systems with limited spectrum resources. Since the greedy bit allocation algorithm is the optimal method for single user, however, in the case of plenty of users and bits to be distributed, the computational complexity will be extraordinarily unacceptable. This paper presents a new bit and power allocation scheme for C-OFDM systems with the purpose of minimizing the interference power by constraining the fixed data rate and bit error rate. The presented bit allocation algorithm is derived from geometric sequence of the additional one bit transmission power required by the sub-carriers and the AM-GM inequality. Consequently, compared with the algorithm existing now, this algorithm has a simple procedure and low computational complexity. The MATLAB Simulation results show that the proposed algorithm is superior to the traditional algorithm, while reducing the computational complexity from exponential to linear in the number of sub-carriers.
机译:多用户认知正交频分复用(C-OFDM)是一种非常有前途的技术,用于在频谱资源有限的下一代蜂窝和无线局域网(WLAN)系统中实现高传输容量。但是,由于贪婪的比特分配算法是针对单个用户的最佳方法,但是,在有大量用户和要分配的比特的情况下,计算复杂度将是极其不可接受的。本文提出了一种新的用于C-OFDM系统的比特和功率分配方案,其目的是通过限制固定数据率和误码率来最大程度地降低干扰功率。提出的比特分配算法是从子载波所需的额外的一位传输功率的几何序列和AM-GM不等式得出的。因此,与现有算法相比,该算法过程简单,计算复杂度低。 MATLAB仿真结果表明,所提出的算法优于传统算法,同时将子载波数量的计算复杂度从指数级降低到线性级。

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