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MIMO Interference Alignment
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the achievable rate of a K-user
interference channel with single antenna at individual node is
studied. Interference alignment and zero forcing are applied at
the transmitter and receiver, respectively. It is well known from
the paper [1] of
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智能天线技术是!"#$ "&’ 系统中的关键技术$其中下行波束赋形使下行波束对准移动用户$可靠地减小了干扰$提
高了系统的频谱利用率 -Smart antenna technology! " Key technologies $# $ & ' system which Downlink Beamforming downlink beam alignment mobile user $ reliably reduce interference $ improve the
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In the present paper, Interference Alignment by
propagation delay is applied to a delay-based X- channel and
a delay-based K- user interference channel. The key ingredient
in our approach is the cyclic permutation property of the delay-
based
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The tutorial of interference alignment written by Jafar, very useful.
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The interference alignment (IA) is a promising
technique to efficiently mitigate interference and to enhance capacity of a wireless communication network. This paper proposes an interference alignment scheme for a network with multiple cells and mu
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这是一个用于通信系统干扰对齐的算法，IA算法的下行接收采用简单的迫零接收。-This is a communication system interference alignment algorithm, IA simple algorithm for downlink reception zero forcing receiver.
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这个是多用户MIMO系统下，干扰对齐的一个例子，验证了这个算法的性能。-This is a multi-user MIMO systems, an example of interference alignment is verified by the performance of the algorithm.
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A General Algorithmfor Interference Alignment
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A Distributed Approach to Interference Alignment in OFDM-based Two-tiered Networks
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The Feasibility of Interference Alignment over Measured MIMO-OFDM Channels
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An Experimental Investigation of SIMO, MIMO, Interference-Alignment (IA) and Coordinated Multi-Point (CoMP)
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Cognitive Interference Alignment for OFDM Two-tiered Networks
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盲干扰对齐(Blind Interference Alignment,简称BIA)是一种改良于干扰对齐算法的基于MIMO技术下的干扰抑制算法,(Blind Interference Alignment With Diversity)
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盲干扰对齐(Blind Interference Alignment,简称BIA)是一种改良于干扰对齐算法的基于MIMO技术下的干扰抑制算法(Blind Interference Alignment)
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干扰对齐是一种有效的干扰管理机制，通过预编码技术使干扰在接收端重叠在一起，以彻底消除干扰对期望信号的影响与忽略干扰、解码/消除干扰以及正交接入（避免干扰）等现有处理干扰的方法不同，IA通过压缩干扰所占的信号维度，使系统获得最大自由度(Interference Alignment (IA))
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由于可以彻底消除干扰，能够显著提高系统容量，IA技术受到了广泛的关注获得预编码矩阵的方法有两种：直接法和迭代法，直接法需要理想的全局CSI，而迭代法则需要在收发双方反复交替迭代。(Interference Alignment)
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