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相关论文: Feasibility Conditions for Interference Alignment

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We explore the feasibility of interference alignment in signal vector space -- based only on beamforming -- for K-user MIMO interference channels. Our main contribution is to relate the feasibility issue to the problem of determining the…

信息论 · 计算机科学 2009-11-25 Cenk M. Yetis , Tiangao Gou , Syed A. Jafar , Ahmet H. Kayran

In this paper, we consider the feasibility of linear interference alignment (IA) for multiple-input multiple-output (MIMO) channels with constant coefficients for any number of users, antennas and streams per user; and propose a…

信息论 · 计算机科学 2014-03-14 Oscar Gonzalez , Carlos Beltran , Ignacio Santamaria

Consider a MIMO interference channel whereby each transmitter and receiver are equipped with multiple antennas. The basic problem is to design optimal linear transceivers (or beamformers) that can maximize system throughput. The recent work…

信息论 · 计算机科学 2010-09-20 Meisam Razaviyayn , Maziar Sanjabi , Zhi-Quan Luo

Interference alignment (IA) has attracted great attention in the last few years for its breakthrough performance in interference networks. However, despite the numerous works dedicated to IA, the feasibility conditions of IA remains unclear…

信息论 · 计算机科学 2013-08-01 Liangzhong Ruan , Vincent K. N. Lau , Moe Z. Win

Interference alignment(IA) is mostly achieved by coding interference over multiple dimensions. Intuitively, the more interfering signals that need to be aligned, the larger the number of dimensions needed to align them. This dimensionality…

信息论 · 计算机科学 2016-01-19 Zainalabedin Samadi , Vahid Tabatabavakili , Farzan Haddadi

In this paper, we analyze the feasibility of linear interference alignment (IA) for multi-input-multi-output (MIMO) interference broadcast channel (MIMO-IBC) with constant coefficients. We pose and prove the necessary conditions of linear…

信息论 · 计算机科学 2015-06-05 Tingting Liu , Chenyang Yang

Determining the feasibility conditions for vector space interference alignment in the K-user MIMO interference channel with constant channel coefficients has attracted much recent attention yet remains unsolved. The main result of this…

信息论 · 计算机科学 2011-06-02 Guy Bresler , Dustin Cartwright , David Tse

Interference alignment in the K-user MIMO interference channel with constant channel coefficients is considered. A novel constructive method for finding the interference alignment solution is proposed for the case where the number of…

信息论 · 计算机科学 2016-11-18 Roland Tresch , Maxime Guillaud , Erwin Riegler

We study vector space interference alignment for the MIMO interference channel with no time or frequency diversity, and no symbol extensions. We prove both necessary and sufficient conditions for alignment. In particular, we characterize…

信息论 · 计算机科学 2018-06-18 Guy Bresler , Dustin Cartwright , David Tse

Interference alignment is a transmission technique for exploiting all available degrees of freedom in the interference channel with an arbitrary number of users. Most prior work on interference alignment, however, neglects interference from…

信息论 · 计算机科学 2010-10-05 Steven W. Peters , Robert W. Heath

Conditions are derived on line-of-sight channels to ensure the feasibility of interference alignment. The conditions involve choosing only the spacing between two subcarriers of an orthogonal frequency division multiplexing (OFDM) scheme.…

信息论 · 计算机科学 2013-03-22 Stefan Dierks , Gerhard Kramer , Wolfgang Zirwas

This paper studies vector space interference alignment for the three-user MIMO interference channel with no time or frequency diversity. The main result is a characterization of the feasibility of interference alignment in the symmetric…

信息论 · 计算机科学 2011-10-25 Guy Bresler , Dustin Cartwright , David Tse

Interference alignment (IA) techniques mostly attain their degrees of freedom (DoF) benefits as the number of channel extensions tends to infinity. Intuitively, the more interfering signals that need to be aligned, the larger the number of…

信息论 · 计算机科学 2016-06-08 Zainalabedin Samadi , Vahid Tabataba Vakily , Farzan Haddadi

In this paper, we study the number of different interference alignment (IA) solutions in a K-user multiple-input multiple-output (MIMO) interference channel, when the alignment is performed via beamforming and no symbol extensions are…

信息论 · 计算机科学 2014-05-30 Óscar González , Carlos Beltrán , Ignacio Santamaría

The $K\times 2$ and $2\times K$, Multiple-Input Multiple-Output (MIMO) X channel with constant channel coefficients available at all transmitters and receivers is considered. A new alignment scheme, named \emph{layered interference…

Consider a K-user flat fading MIMO interference channel where the k-th transmitter (or receiver) is equipped with M_k (respectively N_k) antennas. If a large number of statistically independent channel extensions are allowed either across…

信息论 · 计算机科学 2015-05-27 Meisam Razaviyayn , Gennady Lyubeznik , Zhi-Quan Luo

Multi-user Orthogonal Frequency Division Multiplexing (OFDM) and Multiple Output Multiple Output (MIMO) have been widely adopted to enhance the system throughput and combat the detrimental effects of wireless channels. Recently,…

信息论 · 计算机科学 2015-02-18 Yi Xu , Shiwen Mao , Xin Su

While interference alignment schemes have been employed to realize the full multiplexing gain of $K$-user interference channels, the analyses performed so far have predominantly focused on the case when global channel knowledge is available…

信息论 · 计算机科学 2009-12-01 Rajesh T Krishnamachari , Mahesh K Varanasi

This paper extends the literature on interference alignment to more general classes of deterministic channels which incorporate non-linear input-output relationships. It is found that the concept of alignment extends naturally to these…

信息论 · 计算机科学 2010-01-18 Amin Jafarian , Sriram Vishwanath

Interference alignment (IA) is a revolutionary wireless transmission strategy that reduces the impact of interference. The idea of interference alignment is to coordinate multiple transmitters so that their mutual interference aligns at the…

信息论 · 计算机科学 2013-04-15 Omar El Ayach , Steven W. Peters , Robert W. Heath
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