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In this contribution, we jointly investigate the benefits of caching and interference alignment (IA) in multiple-input multiple-output (MIMO) interference channel under limited backhaul capacity. In particular, total average transmission…

Information Theory · Computer Science 2016-11-18 Matha Deghel , Ejder Baştuğ , Mohamad Assaad , Merouane Debbah

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

Opportunistic interference alignment (OIA) exploits channel randomness and multiuser diversity by user selection. For OIA the transmitter needs channel state information (CSI), which is usually measured on the receiver side and sent to the…

Information Theory · Computer Science 2015-05-06 Zhinan Xu , Mingming Gan , Thomas Zemen

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

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

Interference alignment (IA) is a cooperative transmission strategy that improves spectral efficiency in high signal-to-noise ratio (SNR) environments, yet performs poorly in low-SNR scenarios. This limits IA's utility in cellular systems as…

Information Theory · Computer Science 2013-05-14 Jonathan Starr , Omar El Ayach , Robert W. Heath

In this paper, we consider a two-cell interfering two-user multiple-input multiple-output multiple access channel (MIMO-MAC) with limited feedback. We first investigate the multiplexing gain of such channel when users have perfect channel…

Information Theory · Computer Science 2010-10-06 Namyoon Lee , Wonjae Shin , Bruno Clerckx

Interference Alignment (IA) is technique that, in a large sense, makes use of the increasing signal dimensions available in the system through MIMO and OFDM technologies in order to globally reduce the interference suffered by users in a…

Networking and Internet Architecture · Computer Science 2016-11-28 Yasser Fadlallah , Paul Ferrand , Leonardo Cardoso , Jean-Marie Gorce

In this work, we study the impact of having only incomplete channel state information at the transmitters (CSIT) over the feasibility of interference alignment (IA) in a K-user MIMO interference channel (IC). Incompleteness of CSIT refers…

Information Theory · Computer Science 2014-04-25 Paul de Kerret , David Gesbert

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 have implemented interference alignment (IA) and joint transmission coordinated multipoint (CoMP) on a wireless testbed using the feedback compression scheme of the new 802.11ac standard. The performance as a function of the frequency…

Information Theory · Computer Science 2014-02-20 Per Zetterberg

We analyze limited feedback in systems where a multiple-antenna transmitter sends signals to single-antenna receivers with finite-bit ADCs. If channel state information (CSI) is not available with high resolution at the transmitter and the…

Information Theory · Computer Science 2016-12-13 Jianhua Mo , Robert W. Heath

An efficient interference alignment (IA) scheme is developed for $K$-user single-input single-output frequency selective fading interference channels. The main idea is to steer the transmit beamforming matrices such that at each receiver…

Information Theory · Computer Science 2009-06-23 Sang Won Choi , Syed A. Jafar , Sae-Young Chung

We develop an interference alignment (IA) technique for a downlink cellular system. In the uplink, IA schemes need channel-state-information exchange across base-stations of different cells, but our downlink IA technique requires feedback…

Information Theory · Computer Science 2015-03-13 Changho Suh , Minnie Ho , David Tse

Feedback of quantized channel state information (CSI), called limited feedback, enables transmit beamforming in multiple-input-multiple-output (MIMO) wireless systems with a small amount of overhead. Due to its efficiency, beamforming with…

Information Theory · Computer Science 2008-05-05 Kaibin Huang , Robert W. Heath , Jeffrey G. Andrews

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…

Information Theory · Computer Science 2016-06-08 Zainalabedin Samadi , Vahid Tabataba Vakily , Farzan Haddadi

In this paper, we consider a primary and a cognitive user transmitting over a wireless fading interference channel. The primary user transmits with a constant power and utilizes an adaptive modulation and coding (AMC) scheme satisfying a…

Information Theory · Computer Science 2009-09-30 Mehrdad Taki , Farshad Lahouti

This paper proposes an adaptive multi-mode transmission strategy to improve the spectral efficiency achieved in the multiple-input multiple-output (MIMO) broadcast channel with delayed and quantized channel state information. The adaptive…

Information Theory · Computer Science 2016-11-17 Jun Zhang , Marios Kountouris , Jeffrey G. Andrews , Robert W. Heath

In theory coordinated multi-point transmission (CoMP) promises vast gains in spectral efficiency. But industrial field trials show rather disappointing throughput gains, whereby the major limiting factor is proper sharing of channel state…

Information Theory · Computer Science 2016-11-18 Jan Schreck , Gerhard Wunder , Peter Jung

Interference alignment (IA) adjusts signaling scheme such that all interfering signals are squeezed in interference subspace. IA mostly achieves its performance via infinite extension of the channel, which is a major challenge for IA in…

Information Theory · Computer Science 2018-07-16 Zainalabedin Samadi , Vahid Tabatabavakili , Farzan Haddadi