A Single Feedback Based Interference Alignment for Three-User MIMO Interference Channels with Limited Feedback

Chae, Hyukjin; Kim, Ki-Yeon; Ran, Rong; Kim, Dong Ku

doi:10.3837/tiis.2013.04.005

Cited by 5 publications

(8 citation statements)

References 2 publications

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“…Since the size of the matrix [ ] Then, as shown in Fig. 4, each of Txs 1, 2 and 3 transmits precoded pilot symbols using its precoder of size 4d d × , while Tx 4 and Tx 5 send precoded pilot symbols using (1) 4 v and (1) 5 v respectively. After channel estimation, all interferences caused by Txs 1, 2 and 3 can be eliminated at the Rx side as shown in Fig.…”

Section: Proposed Feedback Topology Formentioning

confidence: 99%

“…Zero-forcing IA discard (K-3)d interference dimensions and d additional dimensions, only reserve d dimensions for desired signals ( 1) C , {1, 2, , ( 2) K − , leading to the determination of the receive filters (or auxiliary receive filters) as shown in Fig. 6.…”

Section: Txsmentioning

confidence: 99%

“…Interference alignment (IA) is an advanced technique for multi-node coordination as it is optimal in terms of degrees of freedom (DoF) at high signal-to-noise ratio regime, and thus IA can be exploited in interference channel [1], relay based wireless networks [2][3], heterogeneous networks [4], etc. In fact, the DoF gains of IA are obtained by designing IA precoders whose computations require sufficient channel state information (CSI) at the transmitters (Txs).…”

Section: Introductionmentioning

confidence: 99%

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Low-Overhead Feedback Topology Design for the K-User MIMO Interference Alignment

2018

TIIS

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Since designing a feedback topology is a practical way to implement interference alignment at reduced cost of channel state information (CSI) feedback, six feedback topologies have been presented in prior works for a K-user multiple-input multiple-output interference channel. To fully reveal the potential benefits of the feedback topology in terms of the saving of CSI overhead, we propose a new feedback topology in this paper. By efficiently performing dimensionality-decreasing at the transmitter side and aligning interference signals at a subset of receivers, we show that the proposed feedback topology obtains substantial reduction of feedback cost over the existing six feedback designs under the same antenna configuration. . He has several papers published in journal and conferences, has authored several patents and he has worked on several funded research projects on the wireless communications areas. His research interests include MIMO communication, cooperative communication, hardware constrained communication, non-orthogonal multiple access (NOMA), physical layer security, FSO communications, and performance analysis of fading channels.

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Section: Proposed Feedback Topology Formentioning

confidence: 99%

Section: Txsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Low-Overhead Feedback Topology Design for the K-User MIMO Interference Alignment

2018

TIIS

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“…IA is pioneered in multi-user multiple input multiple output (MU-MIMO) interference channel [5][6][7][8]. It concluded that each user can use half of the channel resources to make an interference-free communication regardless of user number.…”

Section: Introductionmentioning

confidence: 99%

“…According to the process of solving precoding matrices, IA can be devided into two branches. One is the linear IA algorithms in closed-form expressions [5,6], and the other is the iterative IA algorithms utilizing the reciprocity of wireless channel in cellular networks [7,8]. Recently, IA has been employed to manage the interference in conventional single-tier cellular networks [9,10] and two-tier HetNets [3][4], [11][12][13][14][15][16][17][18][19][20].…”

Section: Introductionmentioning

confidence: 99%

Interference Alignment Based Transceiver Design in OSG mode of HetNets

2015

KSII TIIS

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This paper focuses on solving co-channel interference (CCI) issues arising in the open subscriber group (OSG) mode of heterogeneous networks (HetNets). Considering a general framework consisting of arbitrary number of picocells within a macro cell, where the inter-user interference (IUI) is the main CCI to macro user equipments (UEs), while the the inter-cell interference (ICI) is the major CCI to pico UEs. In this paper, three IA based transceiver design schemes are proposed. For macro cell, we uniformly use block diagonalization (BD) scheme to eliminate the IUI. And for picocells, three IA schemes are proposed to mitigate the ICI. The first scheme, named as zero forcing IA (ZF-IA) scheme, aligns the inter picocell interference onto an arbitrary sub-space of the cross-tier interference using ZF scheme. Considering the channel state information (CSI) of the desired channel of pico UEs, the second scheme, named as optimal desired sub-channel selected IA (ODC-IA) scheme, aligns the inter picocell interference onto a certain sub-space of the cross-tier interference, which guarantees the largest channel gain of the desired signal of pico UEs. The third IA scheme, named as maximum cross-tier interference selected IA (MI-IA) scheme, is designed for the system with less receive antennas. The inter picocell interference is aligned onto the space of the strongest cross-tier interference and only the interference on this space is nullified. The complexity analysis and simulations show that the proposed transceiver design schemes outperform the existing IA schemes in the OSG mode of HetNets, and the MI-IA scheme reduces the requirement of the receive antennas number with lower complexity.

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Massive MIMO: survey and future research topics

Araújo¹,

Maksymyuk²,

Almeida³

et al. 2016

IET Communications

167

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Massive multiple-input multiple-output technology has been considered a breakthrough in wireless communication systems. It consists of equipping a base station with a large number of antennas to serve many active users in the same time-frequency block. Among its underlying advantages is the possibility to focus transmitted signal energy into very short-range areas, which will provide huge improvements in terms of system capacity. However, while this new concept renders many interesting benefits, it brings up new challenges that have called the attention of both industry and academia: channel state information acquisition, channel feedback, instantaneous reciprocity, statistical reciprocity, architectures, and hardware impairments, just to mention a few. This paper presents an overview of the basic concepts of massive multiple-input multiple-output, with a focus on the challenges and opportunities, based on contemporary research.

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A Single Feedback Based Interference Alignment for Three-User MIMO Interference Channels with Limited Feedback

Cited by 5 publications

References 2 publications

Low-Overhead Feedback Topology Design for the K-User MIMO Interference Alignment

Low-Overhead Feedback Topology Design for the K-User MIMO Interference Alignment

Interference Alignment Based Transceiver Design in OSG mode of HetNets

Massive MIMO: survey and future research topics

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