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Interference alignment is a signaling technique that provides high multiplexing gain in the interference channel. It can be extended to multi-hop interference channels, where relays aid transmission between sources and destinations. In…

Information Theory · Computer Science 2016-11-15 Kien T. Truong , Philippe Sartori , Robert W. Heath

Nowadays, providing higher data rate is a momentous goal for wireless communications systems. Interference is one of the important obstacles to reach this purpose. Interference alignment is a management technique that align interference…

Information Theory · Computer Science 2017-04-12 Siavash Mollaebrahim , Pouya Ghari , Mohammad Sadegh Fazel , Muhammad Ali Imran

This paper considers several linear beamformer design paradigms for multiuser time-invariant multiple-input multiple-output interference channels. Notably, interference alignment and sum-rate based algorithms such as the maximum…

Information Theory · Computer Science 2010-11-30 Juho Park , Youngchul Sung , H. Vincent Poor

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,…

Information Theory · Computer Science 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…

Information Theory · Computer Science 2009-12-01 Rajesh T Krishnamachari , Mahesh K Varanasi

In this paper we consider strategies for MIMO interference channels which combine the notions of interference alignment and channel pre-inversion. Users collaborate to form data-sharing groups, enabling them to clear interference within a…

Information Theory · Computer Science 2015-02-03 David Karpuk , Peter Moss

Interference alignment (IA) has recently emerged as a promising interference mitigation technique for interference networks. In this letter, we focus on the IA non-iterative transceiver design problem in a multiple-input-multiple-output…

Information Theory · Computer Science 2015-05-20 Chiao-En Chen

This paper focuses on two-cell multiple-input multiple-output (MIMO) Gaussian interfering broadcast channels (MIMO-IFBC) with $K$ cooperating users on the cell-boundary of each BS. It corresponds to a downlink scenario for cellular networks…

Information Theory · Computer Science 2016-11-15 Wonjae Shin , Namyoon Lee , Jong-Bu Lim , Changyong Shin , Kyunghun Jang

In this paper we analyze a constant multiple-input multiple-output interference channel where a set of active users are cooperating through interference alignment while a set of secondary users desire access to the channel. We derive the…

Information Theory · Computer Science 2012-07-19 Behrang Nosrat-Makouei , Jeffrey G. Andrews , Robert W. Heath

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…

Information Theory · Computer Science 2016-11-18 Roland Tresch , Maxime Guillaud , Erwin Riegler

Interference alignment (IA) has been shown to achieve the maximum achievable degrees of freedom in the interference channel. This results in sum rate scaling linearly with the number of users in the high signal-to-noise-ratio (SNR) regime.…

Information Theory · Computer Science 2013-04-15 Omar El Ayach , Steven W. Peters , Robert W. Heath

This paper investigates the linear precoder design for $K$-user interference channels of multiple-input multiple-output (MIMO) transceivers under finite alphabet inputs. We first obtain general explicit expressions of the achievable rate…

Information Theory · Computer Science 2016-11-18 Yongpeng Wu , Chengshan Xiao , Xiqi Gao , John D. Matyjas , Zhi Ding

Interference alignment aims to achieve maximum degrees of freedom in an interference system. For achieving Interference alignment in interfering broadcast systems a closed-form solution is proposed in [1] which is an extension of the…

Information Theory · Computer Science 2014-06-20 Gaurav Gupta , Ajit K Chaturvedi

This paper investigates the problem of interference among the simultaneous multiuser transmissions in the downlink of multiple antennas systems. Using symbol level precoding, a new approach towards the multiuser interference is discussed…

Information Theory · Computer Science 2015-06-22 Maha Alodeh , Symeon Chatzinotas , Björn Ottersten

Multi-antenna precoding effectively mitigates the interference in wireless networks. However, the resultant performance gains can be significantly compromised in practice if the precoder design fails to account for the inaccuracy in the…

Information Theory · Computer Science 2012-02-28 Kaibin Huang , Rui Zhang

We consider a cooperative Gaussian interference channel in which each receiver must decode its intended message locally, with the help of cooperation either at the receivers side or at the transmitter side. In the case of receiver…

Information Theory · Computer Science 2015-10-07 Vasilis Ntranos , Mohammad Ali Maddah-Ali , Giuseppe Caire

Interference alignment (IA), given uncorrelated channel components and perfect channel state information, obtains the maximum degrees of freedom in an interference channel. Little is known, however, about how the sum rate of IA behaves at…

Information Theory · Computer Science 2012-07-19 Behrang Nosrat-Makouei , Jeffrey G. Andrews , Robert W. Heath

We present two interference alignment techniques such that an opportunistic point-to-point multiple input multiple output (MIMO) link can reuse, without generating any additional interference, the same frequency band of a similar…

Computer Science and Game Theory · Computer Science 2016-11-17 Samir Medina Perlaza , Merouane Debbah , Samson Lasaulce , Jean-Marie Chaufray

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…

Information Theory · Computer Science 2016-01-19 Zainalabedin Samadi , Vahid Tabatabavakili , Farzan Haddadi

We study the capacity of discrete memoryless many-to-one interference channels, i.e., K user interference channels where only one receiver faces interference. For a class of many-to-one interference channels, we identify a noisy…

Information Theory · Computer Science 2009-12-17 Viveck R. Cadambe , Syed A. Jafar
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