Interference Alignment Transceiver Design by Minimizing the Maximum Mean Square Error for MIMO Interfering Broadcast Channel

(2018) Caching UAV assisted secure transmission in hyper-dense networks based on interference alignment. IEEE Transactions on Communication. Permanent WRAP URL:http://wrap.warwick.ac.uk/98753 Copyright and reuse:The Warwick Research Archive Portal (WRAP) makes this work by researchers of the University of Warwick available open access under the following conditions. Copyright © and all moral rights to the version of the paper presented here belong to the individual author(s) and/or other copyright owners. To the extent reasonable and practicable the material made available in WRAP has been checked for eligibility before being made available.Copies of full items can be used for personal research or study, educational, or not-for profit purposes without prior permission or charge. Provided that the authors, title and full bibliographic details are credited, a hyperlink and/or URL is given for the original metadata page and the content is not changed in any way.Publisher's statement: "© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting /republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works." A note on versions:The version presented here may differ from the published version or, version of record, if you wish to cite this item you are advised to consult the publisher's version. Please see the 'permanent WRAP URL' above for details on accessing the published version and note that access may require a subscription. Abstract-Unmanned aerial vehicles (UAVs) can help smallcell base stations (SBSs) offload traffic via wireless backhaul to improve coverage and increase rate. However, the capacity of backhaul is limited. In this paper, UAV assisted secure transmission for scalable videos in hyper-dense networks via caching is studied. In the proposed scheme, UAVs can act as SBSs to provide videos to mobile users in some small cells. To reduce the pressure of wireless backhaul, UAVs and SBSs are both equipped with caches to store videos at off-peak time. To facilitate UAVs, a single antenna is equipped at each UAV and thus, only the precoding matrices of SBSs should be cooperatively designed to manage interference by exploiting the principle of interference alignment. On the other hand, the SBSs replaced by UAVs will be idle. Thus, in order to guarantee secure transmission, the idle SBSs can be further exploited to generate jamming signal to disrupt eavesdropping. The jamming signal is zero-forced at the legitimate users through the precoding of the idle SBSs, without affecting the legitimate transmission. The feasibility conditions of the proposed scheme are derived, and the secrecy performance is analyzed. Finally, simulation results are presented to verify the effectiveness of the proposed scheme.

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“…[i] to recover the desired signal, based on (4) and (5). Similarly, at the lth user, l = A + 1, A + 1, .…”

Section: A Interference Management In the Uav Assisted Networkmentioning

confidence: 99%

Caching UAV Assisted Secure Transmission in Hyper-Dense Networks Based on Interference Alignment

Zhao

Cheng

et al. 2018

IEEE Trans. Commun.

296

131

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“…With the development of the global mobile market, the popularity of smart terminals and the development of the Internet of Things business, mobile data traffic has grown rapidly [1][2][3]. In response to this situation, interference alignment was first proposed by S. Jafar [4].…”

Section: Introductionmentioning

confidence: 99%

LS Interference Alignment Algorithm Based on Symbol Detection Assistance

Jia¹,

Du²,

Zheng³

2019

MCS

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With the rapid growth of network users, how to increase the system capacity has become an urgent problem for the current communication system in the case of limited spectrum resources. The introduction of multiuser systems has increased system capacity, but it has also led to inter-user interference, which has further affected system capacity. To solve the multiuser interference problem, interference alignment is introduced. Interference Alignment (IA) is an interference cancellation technique that effectively eliminates the effects of interfering signals by compressing the interfering signal into a space independent of the desired signal and then forcing the interfering signal to zero at the receiving end. However, in practical applications, interference-aligned transceivers require a joint design, which is often difficult to achieve. The traditional approach is to mathematically expect it, but it also leads to some degree of irrationality in the transceiver design. In this paper, based on the traditional least square interference alignment (LS-IA) algorithm, a symbol-detection-assisted least square interference alignment (SDA-LS-IA) algorithm is proposed for its shortcomings in transceiver algorithm design. Firstly, based on the precoding matrix and the zero-forcing matrix of the transceiver designed by the traditional LS-IA, the symbol detection is performed, and then the transceiver is designed again according to the detection symbol, and then the symbol detection is performed. The computer simulation proves that the proposed algorithm has better anti-interference performance than the traditional LS-IA.

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“…At present, the applications of IA can be found widely in multiuser MIMO systems, such as MIMO IC networks [30][31][32][33][34][35], the MIMO interference broadcasting channel (IBC) [36,37], MIMO cognitive networks [38][39][40], etc. Among these works, the joint transceiver design is the key way to achieve the spacial IA.…”

Section: Introductionmentioning

confidence: 99%

“…In [31], a subspace-based alternative IA algorithm was derived. The IA schemes based on the mean-square error (MSE) criterion were investigated in [32,33] for MIMO IC networks and in [37] for MIMO IBC networks. In [34,35], the IA transceiver designs were recast into the rank-constrained minimization framework, and the re-weighted nuclear norm minimization algorithms for IA were developed.…”

Section: Introductionmentioning

confidence: 99%

Simultaneous Wireless Information and Power Transfer for MIMO Interference Channel Networks Based on Interference Alignment

Dong

Zhang

Shu

et al. 2017

Entropy

Self Cite

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This paper considers power splitting (PS)-based simultaneous wireless information and power transfer (SWIPT) for multiple-input multiple-output (MIMO) interference channel networks where multiple transceiver pairs share the same frequency spectrum. As the PS model is adopted, an individual receiver splits the received signal into two parts for information decoding (ID) and energy harvesting (EH), respectively. Aiming to minimize the total transmit power, transmit precoders, receive filters and PS ratios are jointly designed under a predefined signal-to-interference-plus-noise ratio (SINR) and EH constraints. The formulated joint transceiver design and power splitting problem is non-convex and thus difficult to solve directly. In order to effectively obtain its solution, the feasibility conditions of the formulated non-convex problem are first analyzed. Based on the analysis, an iterative algorithm is proposed by alternatively optimizing the transmitters together with the power splitting factors and the receivers based on semidefinite programming (SDP) relaxation. Moreover, considering the prohibitive computational cost of the SDP for practical applications, a low-complexity suboptimal scheme is proposed by separately designing interference-suppressing transceivers based on interference alignment (IA) and optimizing the transmit power allocation together with splitting factors. The transmit power allocation and receive power splitting problem is then recast as a convex optimization problem and solved efficiently. To further reduce the computational complexity, a low-complexity scheme is proposed by calculating the transmit power allocation and receive PS ratios in closed-form. Simulation results show the effectiveness of the proposed schemes in achieving SWIPT for MIMO interference channel (IC) networks.

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Interference Alignment Transceiver Design by Minimizing the Maximum Mean Square Error for MIMO Interfering Broadcast Channel

Cited by 29 publications

References 26 publications

Caching UAV Assisted Secure Transmission in Hyper-Dense Networks Based on Interference Alignment

Caching UAV Assisted Secure Transmission in Hyper-Dense Networks Based on Interference Alignment

LS Interference Alignment Algorithm Based on Symbol Detection Assistance

Simultaneous Wireless Information and Power Transfer for MIMO Interference Channel Networks Based on Interference Alignment

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