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Zhu, Zhengyu,Wang, Zhongyong,Lee, Kyoung-Jae,Chu, Zheng,Lee, Inkyu The Korea Institute of Information and Commucation 2016 Journal of communications and networks Vol.18 No.2
In this paper, we address a new robust optimization problem in a multiuser multiple-input single-output broadcasting system with simultaneous wireless information and power transmission, where a multi-antenna base station (BS) sends energy and information simultaneously to multiple users equipped with a single antenna. Assuming that perfect channel-state information (CSI) for all channels is not available at the BS, the uncertainty of the CSI is modeled by an Euclidean ball-shaped uncertainty set. To optimally design transmit beamforming weights and receive power splitting, an average total transmit power minimization problem is investigated subject to the individual harvested power constraint and the received signal-to-interference-plus-noise ratio constraint at each user. Due to the channel uncertainty, the original problem becomes a homogeneous quadratically constrained quadratic problem, which is NP-hard. The original design problem is reformulated to a relaxed semidefinite program, and then two different approaches based on convex programming are proposed, which can be solved efficiently by the interior point algorithm. Numerical results are provided to validate the robustness of the proposed algorithms.
Robust Precoding and Postcoding for Multicell Multiuser Transmission using Imperfect CSI
Nguyen-Le, Hung,Nguyen-Duy-Nhat, Vien,Tang-Tan, Chien,Bao, Vo Nguyen Quoc The Korea Institute of Information and Commucation 2016 Journal of communications and networks Vol.18 No.5
This paper studies the problem of precoding and post-coding design for multicell multiuser downlink transmissions in the absence of perfect channel state information (CSI). Using statistical information of imperfect CSI, an iterative multiuser multicell transceiver design is formulated by minimizing the mean squared error (MSE) cost function of signal and leakage interference under per-base station power constraint (PBPC). The convergence of the iterative precoding and postcoding algorithm is verified by analytical and empirical results. The proposed precoding and postcoding algorithm offers a low computational complexity and robustness against CSI imperfection.
Transceiver Optimization for the Multi-Antenna Downlink in MIMO Cognitive System
( Wentao Zhu ),( Jingbo Yang ),( Tingting Jia ),( Xu Liu ) 한국인터넷정보학회 2015 KSII Transactions on Internet and Information Syst Vol.9 No.12
Transceiver optimization in multiple input multiple output (MIMO) cognitive systems is studied in this paper. The joint transceiver beamformer design is introduced to minimize the transmit power at secondary base station (SBS) while simultaneously controlling the interference to primary users (PUs) and satisfying the secondary users (SUs) signal-to-interference-plus-noise ratio (SINR) based on the convex optimization method. Due to the limited cooperation between SBS and PUs, the channel state information (CSI) usually cannot be obtained perfectly at the SBS in cognitive system. In this study, both perfect and imperfect CSI scenarios are considered in the beamformer design, and the proposed method is robust to CSI error. Numerical results validate the effectiveness of the proposed algorithm.
Zhengyu Zhu,ZhongyongWang,이경재,Zheng Chu,이인규 한국통신학회 2016 Journal of communications and networks Vol.18 No.2
In this paper, we address a new robust optimization problemin a multiuser multiple-input single-output broadcasting systemwith simultaneous wireless information and power transmission,where a multi-antenna base station (BS) sends energy and informationsimultaneously to multiple users equipped with a singleantenna. Assuming that perfect channel-state information (CSI)for all channels is not available at the BS, the uncertainty of theCSI is modeled by an Euclidean ball-shaped uncertainty set. Tooptimally design transmit beamforming weights and receive powersplitting, an average total transmit power minimization problem isinvestigated subject to the individual harvested power constraintand the received signal-to-interference-plus-noise ratio constraintat each user. Due to the channel uncertainty, the original problembecomes a homogeneous quadratically constrained quadraticproblem, which is NP-hard. The original design problem is reformulatedto a relaxed semidefinite program, and then two differentapproaches based on convex programming are proposed, whichcan be solved efficiently by the interior point algorithm. Numericalresults are provided to validate the robustness of the proposedalgorithms.
Robust Precoding and Postcoding for Multicell Multiuser Transmission using Imperfect CSI
Hung Nguyen-Le,Vien Nguyen-Duy-Nhat,Chien Tang-Tan,Vo Nguyen Quoc Bao 한국통신학회 2016 Journal of communications and networks Vol.18 No.5
This paper studies the problem of precoding and post-coding design for multicellmultiuser downlink transmissions in theabsence of perfect channel state information (CSI). Using statisti-cal information of imperfect CSI, an iterative multiuser multicelltransceiver design is formulated by minimizing the mean squarederror (MSE) cost function of signal and leakage interference underper-base station power constraint (PBPC). The convergence of theiterative precoding and postcoding algorithm is verified by analyt-ical and empirical results. The proposed precoding and postcodingalgorithm offers a low computational complexity and robustnessagainst CSI imperfection.