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Constrained pattern extension algorithm based peak power reduction techniques for MIMO-OFDM applications

机译:基于约束模式扩展算法的MIMO-OFDM应用峰值功率降低技术

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In any correspondence framework, the emphasis is on assessing the channel drive reaction to recover the transmitted information flag precisely at the recipient's end. The Constrained Pattern Extension (CPE) plot gives successful methods for foreshorten the peak-to-average power ratio (PAPR) without the requirement for side data. In these proposed calculations, CPE is utilized to moderate MAI. In CPE, each sub channel is deteriorated utilizing particular disintegration and transmit precoding matrix. This other framework changes the spatial channel into a progression of parallel sub channels with no crosstalk from each other. CPE with ideal power and sub-carrier distribution is performed with the requirement of aggregate power which amplifies the base client limit and entirety limit fundamentally than the current calculations. CPE with versatile bit stacking and control allotment has been finished with the imperative of information rate which enhances the BER execution significantly than the current calculations. To accomplish great QoS, different clients are given need in relegating sub channels to that of various clients. MIMO clients are viewed as first to distribute energy to fulfil their information rate prerequisites and after that whatever is left of the power is dispersed among the sub channels of clients utilizing the versatile bit stacking calculation. Along these lines, the proposed calculation gives well least client limit, and entirety limit with low intricacy contrasted with existing asset portion calculations figure client SISO and MIMO-OFDM frameworks. At long last, two ACE calculations have been proposed in this theory to build the framework limit and BER execution with zero MAI. In this manner, these proposed calculations can be utilized in future remote correspondence frameworks for better and enhanced exhibitions.
机译:在任何通信框架中,重点在于评估信道驱动反应以准确地在接收者的末端恢复发送的信息标志。约束模式扩展(CPE)图提供了成功缩短峰均功率比(PAPR)的成功方法,而无需附带数据。在这些建议的计算中,使用CPE来调节MAI。在CPE中,利用特定的分解和传输预编码矩阵来恶化每个子信道。这个其他框架将空间通道更改为并行子通道的级联,彼此之间没有串扰。具有理想功率和子载波分配的CPE是在总功率需求的情况下执行的,总功率比当前计算从根本上放大了基本客户端限制和整体限制。具有通用位堆叠和控制分配功能的CPE已经完成了信息速率的要求,这比当前的计算显着提高了BER执行。为了实现出色的QoS,在将子通道委派给各种客户端的过程中,需要不同的客户端。 MIMO客户端被视为首先分配能量以满足其信息速率的先决条件,然后,利用通用位堆叠计算,将剩余的功率分散在客户端的子信道之间。沿着这些思路,与现有的资产部分计算(采用客户端SISO和MIMO-OFDM框架)形成对比,所提出的计算给出了最少的客户端限制,并且具有低复杂度的整体限制。最后,在该理论中提出了两次ACE计算,以建立框架极限和零MAI的BER执行。以这种方式,可以在将来的远程通信框架中利用这些建议的计算方法,以更好地展示展览。

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