Balanced-Switching-Oriented Blind Interference-Alignment Scheme for 2-User MISO Interference Channel

Wu, Jianjian; Liu, Xinyu; Qu, Chunxiao; Cheng, Chi‐Tsun; Zhou, Qingfeng

doi:10.1109/lcomm.2020.3002757

Cited by 3 publications

(4 citation statements)

References 14 publications

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“…The key idea of the proposed scheme is to generate relativity of alignment based on the variations in the structure of the channel matrix. Later, for a MISO IC with two users, the authors explained a balanced switching‐based BIA scheme 30 . The proposed scheme reduces and maintains a balance in the mode switching operations of the receiver reconfigurable antennas.…”

Section: Bia: Network Topologymentioning

confidence: 99%

“…Later, for a MISO IC with two users, the authors explained a balanced switching-based BIA F I G U R E 4 (A-F) Network topologies associated with BIA scheme. 30 The proposed scheme reduces and maintains a balance in the mode switching operations of the receiver reconfigurable antennas. This balanced antenna mode switching number is vital to enhance the system's throughput and lifetime.…”

Section: Interference Channelmentioning

confidence: 99%

“…Jiang Wu et al 30 2 user MISO IC For a MISO IC with 2 users explained a balanced switching-based BIA scheme. The proposed scheme reduces and maintains a balance in the mode switching operations of the receiver reconfigurable antennas.…”

Section: Pedram Kheikhahmentioning

confidence: 99%

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Blind interference alignment: A comprehensive survey

Selvaprabhu

2022

Int J Communication

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SummaryInterference is a crucial impairment for trustworthy wireless communication. To overcome this interference problem, many interference management strategies have been established. Interference alignment (IA) is one such significant interference management approach that handles the positioning of signals so that they form an overlapping shadow at the unintended receivers; the desired interference‐free signals remain separable at the intended receivers. However, the need for global channel state information at the transmitter (CSIT) acts as a practical limitation for IA in the real‐world wireless communication system. IA can mitigate this limitation associated with channel state information with no CSIT, also termed as blind IA (BIA). Therefore, BIA is an interference management strategy that utilizes the concept of IA with no knowledge of CSIT. Therefore, based on the plethora of prevailing significant works, the objective of our paper is to provide a comprehensive survey to draw a picture of BIA in terms of network topologies, applications in different networks, trending research areas, degrees of freedom (DoF), open‐research problems, and future research directions.

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Section: Bia: Network Topologymentioning

confidence: 99%

Section: Interference Channelmentioning

confidence: 99%

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Blind interference alignment: A comprehensive survey

Selvaprabhu

2022

Int J Communication

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“…The channel pattern of BIA could be implemented naturally or artificially. Over the years, different BIAs have been proposed, such as a naturally implemented BIA in a homogeneous block fading system [24], an artificial BIA implementation with reconfigurable antennas in K-user SISO interference channels [25], a hybrid BIA and NOMA approach for inter-cluster interference canceling [26], a reconfigurable-antenna-based BIA with minimized modeswitching overhead [27], and a BIA implementation to maintain mode-switching fairness among end users [28].…”

Section: Introductionmentioning

confidence: 99%

Fairness-Oriented Transmission Schemes for Multiuser MISO Broadcast Channels

Liu

et al. 2022

Wireless Communications and Mobile Computing

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With the increasing number of Internet of Things (IoT), Industry 4.0 (I4.0), and mobile devices, it can be expected that base stations will have to serve more and more clients with a limited number of antennas. For their broadcast channels, nonorthogonal multiple access (NOMA) and blind interference alignment (BIA) are two efficient and commonly adopted transmission schemes. This paper conducts a comparison study on these techniques on a 3-user 2 × 1 multiple-input single-output (MISO) broadcast channel with a limited number of transmit antennas. Specifically, space-time block coding based NOMA (STBC-NOMA) and NOMA-assisted beamforming (NOMA-BF) are compared with BIA. Both perfect and imperfect successive interference cancellation (SIC) have been considered for NOMA-based schemes, and the theoretical achievable rates of all schemes have been derived. Furthermore, with a given fairness constraint among end users, the power allocation (PA) problems have been solved for cases when accurate channel state information is available at the transmitter (CSIT) as well as when only path loss information is available. Numerical results show the following: (1) none of the schemes under this study can always outperform the others under different SNR regions. (2) With imperfect SIC, NOMA-BF, and STBC-NOMA both suffer from a significant performance loss under a high SNR condition. (3) Fairness PA with only path loss information provides similar performance as that with perfect CSIT, thus partial CSIT is adequate for system or scheme designs in practice.

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On the Synergistic Benefits of Reconfigurable Antennas and Partial Channel Knowledge for the MIMO Interference Channel

Yuan

Ismailoglu

Jafar

2022

IEEE Trans. Commun.

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Blind Interference Alignment (BIA) schemes create and exploit channel coherence patterns without the knowledge of channel realizations at transmitters, while beamforming schemes rely primarily on channel knowledge available to the transmitters without regard to channel coherence patterns. In order to explore the compatibility of these disparate ideas and the possibility of synergistic gains, this work studies the Degrees of Freedom (DoF) of the 2-userwhere Transmitter 1 is equipped with reconfigurable antennas and has no channel knowledge, while Transmitter 2 has partial channel knowledge but no reconfigurable antennas. Taking a fundamental dimensional analysis perspective, the main question is to identify which antenna configurations allow synergistic DoF gains. The main results of this work are two-fold. The first result identifies antenna configurations where both reconfigurable antennas and partial channel knowledge are individually beneficial, as those where 𝑀 1 < 𝑁 1 < min(𝑀 2 , 𝑁 2 ). The second result shows that synergistic gains exist in each of these settings, over the best known solutions that rely on either reconfigurable antennas or partial channel knowledge alone. Coding schemes that jointly exploit partial channel knowledge and reconfigurable antennas emerge as a byproduct of the analysis.

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Balanced-Switching-Oriented Blind Interference-Alignment Scheme for 2-User MISO Interference Channel

Cited by 3 publications

References 14 publications

Blind interference alignment: A comprehensive survey

Blind interference alignment: A comprehensive survey

Fairness-Oriented Transmission Schemes for Multiuser MISO Broadcast Channels

On the Synergistic Benefits of Reconfigurable Antennas and Partial Channel Knowledge for the MIMO Interference Channel

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