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🏛️國立陽明交通大學機構典藏

Author: search.filters.author.Gau, Rung-HungSubject: search.filters.subject.power control

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Now showing 1 - 4 of 4
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    A Geometric Approach for Optimal Power Control and Relay Selection in NOMA Wireless Relay Networks
    (2020-04-01)
    Gau, Rung-Hung
    ;
    Chiu, Hsiao-Ting
    ;
    Liao, Chien-Hsun
    ;
    電信工程研究所
    ;
    Institute of Communications Engineering
    In this paper, we propose a geometric approach for optimal power control and relay selection in NOMA wireless relay networks. First, for each pair of relays, to derive an optimal vector of transmission power that maximizes the network throughput, we formulate a non-convex optimization problem. To obtain a closed-form solution for the non-convex optimization problem, we adopt ellipses and hyperbolas for classification of transmission power vectors. In addition, the proposed geometric approach could be used to select an optimal pair of relays and an optimal vector of transmission power in polynomial time. Furthermore, we observe that allocating all transmission power of the BS to send data to the stronger relay is not necessarily optimal in a NOMA wireless relay network. Simulation results show that the proposed geometric approach could significantly increase the end-to-end sum rate and reduce the power consumption of wireless communications for NOMA wireless relay networks with low computational complexity.
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    Optimal Power Control and Beamforming for Full-Duplex Small Cell Wireless Networks
    (2017-01-01)
    Gau, Rung-Hung
    ;
    Xiao, Zh-Hong
    ;
    Yuan, Tseng-Lung
    ;
    電信工程研究所
    ;
    Institute of Communications Engineering
    In this paper, we propose an optimization framework for selecting an optimal downlink beamforming vector and an optimal uplink transmission power level in full-duplex small cell wireless networks. We study the case in which the full-duplex base station is equipped with multiple antennas and each half-duplex UE is equipped with a single antenna. To benefit from recent progresses in all-digital self-interference cancellation, we formulate an optimization problem to achieve optimal beamforming and power control. Since the studied optimization problem is not convex, we first choose the optimal direction for the beamforming vector. Next, we adopt difference of concave programming to obtain the optimal magnitude of the beamforming vector and the optimal uplink transmission power level. Simulation results show that the proposed approach could significantly improve the performance of small cell wireless networks, especially when the residual self-interference is small.
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    Optimal Power Control for NOMA Wireless Networks With Relays
    (2018-02-01)
    Gau, Rung-Hung
    ;
    Chiu, Hsiao-Ting
    ;
    Liao, Chien-Hsun
    ;
    Wu, Chi-Lun
    ;
    電信工程研究所
    In this letter, we propose a novel approach for dynamically selecting an optimal relay mode and optimal transmission power levels in non-orthogonal multiple access wireless networks with relays. To maximize the network throughput, the proposed approach alternates between the one-relay mode and the two-relay mode based on channel state information. For the two-relay mode, we derive novel closed-form results on optimal power control. Unlike in a conventional one-hop network, it is not always optimal to allocate all power to the relay with the largest channel gain in the studied two-hop network. Based on the closed-form results, one could determine the optimal power levels quickly. Simulation results show that the proposed approach could significantly increase the network throughput.
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    User Assignment and Discrete Power Control for Scalable NOMA Multicast in Cellular Networks
    (2016)
    Gau, Rung-Hung
    ;
    Chiu, Hsiao-Ting
    ;
    電機工程學系
    ;
    Department of Electrical and Computer Engineering
    In this paper, we propose using non-orthogonal multiple access to increase the throughput of wireless multicast. To achieve optimal user assignment and discrete power control, we formulate a combinatorial optimization problem. In particular, we concentrate on the general case in which an user cluster consists of an arbitrary number of users. To enhance scalability, we propose novel and efficient algorithms for finding out an optimal pair of user assignment and transmission power vector for NOMA multicast. Simulation results show that the proposed approach could significantly improve the multicast throughput.