Hybrid interference alignment and power allocation for multi-user interference MIMO channels

You, Xiaohu; Wang, Michael Mao; Han, Yubing; Li, Yang; Sheng, Weixing

doi:10.1007/s11432-012-4549-z

Cited by 15 publications

(11 citation statements)

References 18 publications

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“…Only a few research works have been concentrated on power allocation or control for IA-based wireless networks to improve the sum rate or guarantee the transmission rate of each user [27], [28], [29]. In this section, the PA problem in IA will be analyzed specifically, and two PA algorithms aiming at maximizing the spectrum efficiency of the network are proposed for the MinIL IA algorithm and Max-SINR algorithm, respectively [1], [4].…”

Section: Spectrum-efficient and Energy-efficient Power Allocatiomentioning

confidence: 99%

“…Recently, power allocation and control have also been applied to IA to improve its performance [27], [28], [29]. An improved blind IA was proposed in [27], which can increase the SINR by simply changing the power allocation in the transmitted signal.…”

Section: Introductionmentioning

confidence: 99%

“…The authors of [28] proposed a distributed power control algorithm for IA-based wireless networks, in order to guarantee the data transmission at a fixed data rate for each user. A PA scheme was proposed for IA in [29] through using grid search and game theory, and the sum rate of the network can be optimized. However, all of these PA algorithms for IA focus on optimizing the sum rate, i.e., spectrum efficiency, instead of energy efficiency.…”

Section: Introductionmentioning

confidence: 99%

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Adaptive Energy-Efficient Power Allocation in Green Interference-Alignment-Based Wireless Networks

Zhao

Sun

2015

IEEE Trans. Veh. Technol.

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Additional information: Use policyThe full-text may be used and/or reproduced, and given to third parties in any format or medium, without prior permission or charge, for personal research or study, educational, or not-for-prot purposes provided that:• a full bibliographic reference is made to the original source • a link is made to the metadata record in DRO • the full-text is not changed in any way The full-text must not be sold in any format or medium without the formal permission of the copyright holders.Please consult the full DRO policy for further details. Abstract-Interference alignment (IA) is a promising technique for interference management in wireless networks. However, the sum rate may fall short of the theoretical maximum especially at low signal-to-noise ratio (SNR) levels since IA mainly concentrates on mitigating the interference, instead of improving the quality of desired signal. Moreover, most of the previous works focused on improving spectrum efficiency, but the energy efficiency aspect is largely ignored. In this paper, an adaptive energy-efficient IA algorithm is proposed through power allocation and transmission-mode adaptation for green IAbased wireless networks. The power allocation problem for IA is first analyzed, then we propose a power allocation scheme that optimizes the energy efficiency of IA-based wireless networks. When SNR is low, the transmitted power of some users may become zero. Thus the users with low transmitted power are turned into the sleep mode in our scheme to save energy. The transmitted power and transmission mode of the remaining active users are adapted again to further improve the energy efficiency of the network. To guarantee the interests of all the users, fairness among users is also considered in the proposed scheme. Simulation results are presented to show the effectiveness of the proposed algorithm in improving the energy efficiency of IAbased wireless networks.

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Section: Spectrum-efficient and Energy-efficient Power Allocatiomentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Adaptive Energy-Efficient Power Allocation in Green Interference-Alignment-Based Wireless Networks

Zhao

Sun

2015

IEEE Trans. Veh. Technol.

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“…In most of the early research works, only the equal power allocation scheme was adopted. Recently, power allocation (PA) and control were adopted to IA to further improve its performance [19], [20]. Farhadi et al proposed a distributed power control algorithm for IA networks in [19], to ensure the data transmission at a fixed rate for each user.…”

Section: Introductionmentioning

confidence: 99%

“…Farhadi et al proposed a distributed power control algorithm for IA networks in [19], to ensure the data transmission at a fixed rate for each user. PA was introduced to IA by Shu et al, to optimize the throughput of IA networks in [20].…”

Section: Introductionmentioning

confidence: 99%

Adaptive Power Allocation Schemes for Spectrum Sharing in Interference-Alignment-Based Cognitive Radio Networks

Zhao

Sun

et al. 2016

IEEE Trans. Veh. Technol.

190

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Publisher's copyright statement: c 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, 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 components of this work in other works. Additional information:Use policyThe full-text may be used and/or reproduced, and given to third parties in any format or medium, without prior permission or charge, for personal research or study, educational, or not-for-prot purposes provided that:• a full bibliographic reference is made to the original source • a link is made to the metadata record in DRO • the full-text is not changed in any way The full-text must not be sold in any format or medium without the formal permission of the copyright holders.Please consult the full DRO policy for further details. Abstract-Interference alignment (IA) is a promising technique for interference management, and can be applied to spectrum sharing in cognitive radio (CR) networks. However, the sum rate may fall short of the theoretical maximum especially at low signal-to-noise ratio (SNR), and the quality of service (QoS) of the primary user (PU) may not be guaranteed. Besides, power allocation (PA) in IA-based CR networks is largely ignored, which can further improves its performance. Thus in this paper, PA in IA-based CR networks is studied. To guarantee the QoS requirement of the PU, its minimal transmitted power is derived. Then, we propose three PA algorithms to maximize the throughput of secondary users (SUs), the energy efficiency of the network, and the requirements of SUs, respectively, while guaranteeing the QoS of the PU. To reduce the complexity, the closed-form solutions of these algorithms are further studied in detail. The outage probability of the PU according to its rate threshold is also derived to analyze the performance of these algorithms. Moreover, we propose a transmission-mode adaptation scheme to further improve the PU's performance when its QoS requirement cannot be guaranteed at low SNR, and it can be easily combined with the proposed PA algorithms. Simulation results are presented to show the effectiveness of the proposed adaptive PA algorithms for IA-based CR networks.

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Transmission capacity maximization for LED array-assisted multiuser VLC systems

Kong

Shen

et al. 2015

Sci. China Inf. Sci.

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Robust secure transmission for multiuser MISO systems with probabilistic QoS constraints SCIENCE CHINA Information Sciences 59, 022309 (2016); An array-assisted deep learning approach to seismic phase-picking Chinese Science Bulletin 65, 1016 (2020); Capacity analysis and optimal power allocation for coordinated transmission in MIMO-OFDM systems SCIENCE CHINA Information Sciences 55, 1372 (2012); Compensation of image noise induced by difference in optical characteristics of array-LED chips of LED print head SCIENCE CHINA Technological Sciences 60, 1819 (2017);. RESEARCH PAPER. SCIENCE CHINA Information Sciences

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Hybrid interference alignment and power allocation for multi-user interference MIMO channels

Cited by 15 publications

References 18 publications

Adaptive Energy-Efficient Power Allocation in Green Interference-Alignment-Based Wireless Networks

Adaptive Energy-Efficient Power Allocation in Green Interference-Alignment-Based Wireless Networks

Adaptive Power Allocation Schemes for Spectrum Sharing in Interference-Alignment-Based Cognitive Radio Networks

Transmission capacity maximization for LED array-assisted multiuser VLC systems

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