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Robust Beamforming for NOMA-Based Cellular Massive IoT With SWIPT

Published on Jan 6, 2020in IEEE Transactions on Signal Processing5.23
路 DOI :10.1109/TSP.2019.2959246
Qiao Qi1
Estimated H-index: 1
(ZJU: Zhejiang University),
Xiaoming Chen24
Estimated H-index: 24
(ZJU: Zhejiang University),
Derrick Wing Kwan Ng38
Estimated H-index: 38
(UNSW: University of New South Wales)
Abstract
In this paper, we study the resource allocation design for non-orthogonal multiple access (NOMA)-based cellular massive Internet-of-Things (IoT) enabled with simultaneous wireless information and power transfer (SWIPT). The design is formulated as a non-convex optimization problem, which takes into account practical and adverse factors, e.g., the channel uncertainty during channel state information (CSI) acquisition, the non-linear receiver during energy harvesting (EH) and the imperfect successive information cancellation (SIC) during the information decoding (ID). The originally harmful co-channel interference in massive access is coordinated to strike a balance between efficient information transmission and efficient energy harvesting via spatial beamforming. Subsequently, two robust beamforming algorithms are designed from the aspects of the weighted sum rate maximization and the total power consumption minimization, respectively. It is found that overall performance can be improved by adding BS antennas due to more array gains. Moreover, it is proved that the proposed algorithms can effectively alleviate the influence of adverse practical conditions and achieve the best performance compared to the baseline ones, which demonstrates the effectiveness and robustness of proposed algorithms for cellular massive IoT.
  • References (20)
  • Citations (0)
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References20
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Aug 1, 2019 in ICC (International Conference on Communications)
#1Qiao Qi (ZJU: Zhejiang University)H-Index: 1
#2Xiaoming Chen (ZJU: Zhejiang University)H-Index: 24
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1 CitationsSource
#1Qiao Qi (ZJU: Zhejiang University)
#2Xiaoming Chen (ZJU: Zhejiang University)H-Index: 24
In this paper, we investigate the issue of simultaneous wireless information and power transfer in the cellular Internet of Things (IoT) with a massive number of different access devices, e.g., information decoding devices, energy harvesting (EH) devices, and hybrid devices. Especially, we consider a practical scenario of the cellular IoT, where the IoT devices have a nonlinear EH receiver and perform imperfect successive interference cancellation (SIC) due to a limited capability. The benefits ...
Source
May 1, 2018 in ICC (International Conference on Communications)
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#2Zhou Fuhui (USU: Utah State University)H-Index: 14
Last. Lajos Hanzo (University of Southampton)H-Index: 75
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This paper studies a multiple-input single-output non-orthogonal multiple access cognitive radio network relying on simultaneous wireless information and power transfer. A realistic non-linear energy harvesting model is applied and a power splitting architecture is adopted at each secondary user (SU). Since it is difficult to obtain perfect channel state information (CSI) in practice, instead either a bounded or Gaussian CSI error model is considered. Our robust beamforming and power splitting r...
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#1Yanqing Xu (Beijing Jiaotong University)H-Index: 4
#2Chao Shen (Beijing Jiaotong University)H-Index: 12
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This paper investigates the application of simultaneous wireless information and power transfer (SWIPT) to cooperative non-orthogonal multiple access (NOMA). A new cooperative multiple-input single-output (MISO) SWIPT NOMA protocol is proposed, where a user with a strong channel condition acts as an energy-harvesting (EH) relay by adopting power splitting (PS) scheme to help a user with a poor channel condition. By jointly optimizing the PS ratio and the beamforming vectors, we aim at maximizing...
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We propose a robust beamforming design for non-orthogonal multiple access-based multiple-input single-output downlink systems. In particular, the robust power minimization problem is studied with imperfect channel state information, where the beamformers are designed by incorporating norm-bounded channel uncertainties to provide the required quality of service at each user. This robust scheme is developed based on the worst-case performance optimization framework. In terms of beamforming vectors...
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#1Zhiyong Chen (USTC: University of Science and Technology of China)H-Index: 4
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In this paper, the design of non-orthogonal multiple access (NOMA) in a multiple-input-single-output (MISO) downlink scenario is investigated. The impact of the recently developed concept, quasi-degradation , on NOMA downlink transmission is first studied. Then, a Hybrid NOMA (H-NOMA) precoding algorithm, based on this concept, is proposed. By exploiting the properties of H-NOMA precoding, a low-complexity sequential user pairing algorithm is consequently developed, to further improve the overal...
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#2Bei Xie (USU: Utah State University)H-Index: 3
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Non-orthogonal multiple access (NOMA) is an emerging technology that can improve system spectral efficiency. In this paper, we propose a downlink multiple-input-multiple- output (MIMO) wireless system that incorporates NOMA. To make the system model more realistic, error propagation in successive interference cancellation (SIC) is considered during the decoding process. We formulate an optimization problem aiming at maximizing system throughput. The imposed error propagation increases the comple...
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#1Muhammad Fainan Hanif (Lancaster University)H-Index: 11
#2Zhiguo Ding (Lancaster University)H-Index: 54
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Non-orthogonal multiple access (NOMA) systems have the potential to deliver higher system throughput, compared with contemporary orthogonal multiple access techniques. For a linearly precoded multiple-input single-output (MISO) system, we study the downlink sum rate maximization problem, when the NOMA principle is applied. Being a non-convex and intractable optimization problem, we resort to approximate it with a minorization-maximization algorithm (MMA), which is a widely used tool in statistic...
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This article reviews an emerging wireless information and power transfer (WIPT) technique with an emphasis on its performance enhancement employing multi-antenna techniques. Compared to traditional wireless information transmission, WIPT faces numerous challenges. First, it is more susceptible to channel fading and path loss, resulting in a much shorter power transfer distance. Second, it gives rise to the issue of how to balance spectral efficiency for information transmission and energy effici...
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