The Experts below are selected from a list of 2478 Experts worldwide ranked by ideXlab platform

Martin Haardt - One of the best experts on this subject based on the ideXlab platform.

  • Sum-Rate Maximization With Minimum Power Consumption for MIMO DF Two-Way Relaying— Part I: Relay Optimization
    IEEE Transactions on Signal Processing, 2020
    Co-Authors: Sergiy A. Vorobyov, Hai Jiang, Jianshu Zhang, Martin Haardt
    Abstract:

    The problem of Power allocation is studied for a multiple-input multiple-output (MIMO) decode-and-forward (DF) two-way relaying system consisting of two source nodes and one relay. It is shown that achieving maximum sum-rate in such a system does not necessarily demand the Consumption of all available Power at the relay. Instead, the maximum sum-rate can be achieved through efficient Power allocation with Minimum Power Consumption. Deriving such Power allocation, however, is nontrivial due to the fact that it generally leads to a nonconvex problem. In Part I of this two-part paper, a sum-rate maximizing Power allocation with Minimum Power Consumption is found for MIMO DF two-way relaying, in which the relay optimizes its own Power allocation strategy given the Power allocation strategies of the source nodes. An algorithm is proposed for efficiently finding the optimal Power allocation of the relay based on the proposed idea of relative water-levels. The considered scenario features low complexity due to the fact that the relay optimizes its Power allocation without coordinating the source nodes. As a trade-off for the low complexity, it is shown that there can be waste of Power at the source nodes because of no coordination between the relay and the source nodes. Simulation results demonstrate the performance of the proposed algorithm and the effect of asymmetry on the considered system.Comment: 24 pages, 4 figures, Submitted to the IEEE Trans. Signal Processing in August 201

  • Sum-Rate Maximization With Minimum Power Consumption for MIMO DF Two-Way Relaying— Part I: Relay Optimization
    IEEE Transactions on Signal Processing, 2013
    Co-Authors: Sergiy A. Vorobyov, Hai Jiang, Jianshu Zhang, Martin Haardt
    Abstract:

    The problem of Power allocation is studied for a multiple-input multiple-output (MIMO) decode-and-forward (DF) two-way relaying (TWR) system consisting of two source nodes and one relay. It is shown that achieving maximum sum-rate in such a system does not necessarily demand the Consumption of all available Power at the relay. Instead, the maximum sum-rate can be achieved through efficient Power allocation with Minimum Power Consumption. Deriving such Power allocation, however, is nontrivial due to the fact that it generally leads to a nonconvex problem. In Part I of this two-part paper, a sum-rate maximizing Power allocation with Minimum Power Consumption is found for MIMO DF TWR in which the relay optimizes its own Power allocation strategy given the Power allocation strategies of the source nodes. An algorithm is proposed for efficiently finding the optimal Power allocation of the relay based on the proposed idea of relative water-levels. The considered scenario features low complexity due to the fact that the relay optimizes its Power allocation without coordinating the source nodes. As a tradeoff for the low complexity, it is shown that there can be waste of Power at the source nodes due to the lack of coordination between the relay and the source nodes. Simulation results demonstrate the performance of the proposed algorithm and the effect of asymmetry on the considered system.

  • Sum-Rate Maximization With Minimum Power Consumption for MIMO DF Two-Way Relaying— Part II: Network Optimization
    IEEE Transactions on Signal Processing, 2013
    Co-Authors: Sergiy A. Vorobyov, Hai Jiang, Jianshu Zhang, Martin Haardt
    Abstract:

    In Part II of this two-part paper, a sum-rate-maximizing Power allocation with Minimum Power Consumption is derived for multiple-input multiple-output (MIMO) decode-and-forward (DF) two-way relaying (TWR) in a network optimization scenario. In this scenario, the relay and the source nodes jointly optimize their Power allocation strategies to achieve network optimality. Unlike the relay optimization scenario considered in Part I, which features low complexity but does not achieve network optimality, the network-level optimal Power allocation can be achieved in the network optimization scenario at the cost of higher complexity. The network optimization problem is considered in two cases each with several subcases. It is shown that the considered problem, which is originally nonconvex, can be transferred into different convex problems for all but two subcases. For the remaining two subcases, one for each case, it is proved that the optimal strategies for the source nodes and the relay must satisfy certain properties. Based on these properties, an algorithm is proposed for finding the optimal solution. The effect of asymmetry in the Power limits, number of antennas, and channels is also considered. Such asymmetry is shown to have a negative effect on both the achievable sum-rate and the Power allocation efficiency in MIMO DF TWR. Simulation results demonstrate the performance of the proposed algorithm and the effect of asymmetry in the system.

  • GLOBECOM - Power allocation/beamforming for DF MIMO two-way relaying: Relay and network optimization
    2012 IEEE Global Communications Conference (GLOBECOM), 2012
    Co-Authors: Jianshu Zhang, Sergiy A. Vorobyov, Hai Jiang, Martin Haardt
    Abstract:

    The problem of sum-rate maximization with Minimum Power Consumption is studied for a decode-and-forward (DF) multiple-input multiple-output (MIMO) two-way relaying system consisting of two sources and one relay. Two scenarios are investigated. In the first scenario, the relay optimizes its own Power allocation/beamforming strategy given that the strategies of the sources maximize the sum-rate of the multiple-access channel (MAC) phase. In the second scenario, the relay and the sources jointly optimize their Power allocation/beamforming strategies over both the MAC and broadcasting (BC) phases. The considered problem of sum-rate maximization with Minimum Power Consumption is shown to be nonconvex in both scenarios. For the first scenario, an algorithm is proposed to find the optimal strategy of the relay. For the second scenario, the sources and the relay find their strategies either through transferring the original nonconvex problem into corresponding convex problems or using a proposed low-complexity algorithm. Simulation results demonstrate the performance of proposed algorithms.

  • Power allocation/beamforming for DF MIMO two-way relaying: Relay and network optimization
    2012 IEEE Global Communications Conference (GLOBECOM), 2012
    Co-Authors: Jianshu Zhang, Sergiy A. Vorobyov, Hai Jiang, Martin Haardt
    Abstract:

    The problem of sum-rate maximization with Minimum Power Consumption is studied for a decode-and-forward (DF) multiple-input multiple-output (MIMO) two-way relaying system consisting of two sources and one relay. Two scenarios are investigated. In the first scenario, the relay optimizes its own Power allocation/beamforming strategy given that the strategies of the sources maximize the sum-rate of the multiple-access channel (MAC) phase. In the second scenario, the relay and the sources jointly optimize their Power allocation/beamforming strategies over both the MAC and broadcasting (BC) phases. The considered problem of sum-rate maximization with Minimum Power Consumption is shown to be nonconvex in both scenarios. For the first scenario, an algorithm is proposed to find the optimal strategy of the relay. For the second scenario, the sources and the relay find their strategies either through transferring the original nonconvex problem into corresponding convex problems or using a proposed low-complexity algorithm. Simulation results demonstrate the performance of proposed algorithms.

Sergiy A. Vorobyov - One of the best experts on this subject based on the ideXlab platform.

  • Sum-Rate Maximization With Minimum Power Consumption for MIMO DF Two-Way Relaying— Part I: Relay Optimization
    IEEE Transactions on Signal Processing, 2020
    Co-Authors: Sergiy A. Vorobyov, Hai Jiang, Jianshu Zhang, Martin Haardt
    Abstract:

    The problem of Power allocation is studied for a multiple-input multiple-output (MIMO) decode-and-forward (DF) two-way relaying system consisting of two source nodes and one relay. It is shown that achieving maximum sum-rate in such a system does not necessarily demand the Consumption of all available Power at the relay. Instead, the maximum sum-rate can be achieved through efficient Power allocation with Minimum Power Consumption. Deriving such Power allocation, however, is nontrivial due to the fact that it generally leads to a nonconvex problem. In Part I of this two-part paper, a sum-rate maximizing Power allocation with Minimum Power Consumption is found for MIMO DF two-way relaying, in which the relay optimizes its own Power allocation strategy given the Power allocation strategies of the source nodes. An algorithm is proposed for efficiently finding the optimal Power allocation of the relay based on the proposed idea of relative water-levels. The considered scenario features low complexity due to the fact that the relay optimizes its Power allocation without coordinating the source nodes. As a trade-off for the low complexity, it is shown that there can be waste of Power at the source nodes because of no coordination between the relay and the source nodes. Simulation results demonstrate the performance of the proposed algorithm and the effect of asymmetry on the considered system.Comment: 24 pages, 4 figures, Submitted to the IEEE Trans. Signal Processing in August 201

  • Sum-Rate Maximization With Minimum Power Consumption for MIMO DF Two-Way Relaying— Part I: Relay Optimization
    IEEE Transactions on Signal Processing, 2013
    Co-Authors: Sergiy A. Vorobyov, Hai Jiang, Jianshu Zhang, Martin Haardt
    Abstract:

    The problem of Power allocation is studied for a multiple-input multiple-output (MIMO) decode-and-forward (DF) two-way relaying (TWR) system consisting of two source nodes and one relay. It is shown that achieving maximum sum-rate in such a system does not necessarily demand the Consumption of all available Power at the relay. Instead, the maximum sum-rate can be achieved through efficient Power allocation with Minimum Power Consumption. Deriving such Power allocation, however, is nontrivial due to the fact that it generally leads to a nonconvex problem. In Part I of this two-part paper, a sum-rate maximizing Power allocation with Minimum Power Consumption is found for MIMO DF TWR in which the relay optimizes its own Power allocation strategy given the Power allocation strategies of the source nodes. An algorithm is proposed for efficiently finding the optimal Power allocation of the relay based on the proposed idea of relative water-levels. The considered scenario features low complexity due to the fact that the relay optimizes its Power allocation without coordinating the source nodes. As a tradeoff for the low complexity, it is shown that there can be waste of Power at the source nodes due to the lack of coordination between the relay and the source nodes. Simulation results demonstrate the performance of the proposed algorithm and the effect of asymmetry on the considered system.

  • Sum-Rate Maximization With Minimum Power Consumption for MIMO DF Two-Way Relaying— Part II: Network Optimization
    IEEE Transactions on Signal Processing, 2013
    Co-Authors: Sergiy A. Vorobyov, Hai Jiang, Jianshu Zhang, Martin Haardt
    Abstract:

    In Part II of this two-part paper, a sum-rate-maximizing Power allocation with Minimum Power Consumption is derived for multiple-input multiple-output (MIMO) decode-and-forward (DF) two-way relaying (TWR) in a network optimization scenario. In this scenario, the relay and the source nodes jointly optimize their Power allocation strategies to achieve network optimality. Unlike the relay optimization scenario considered in Part I, which features low complexity but does not achieve network optimality, the network-level optimal Power allocation can be achieved in the network optimization scenario at the cost of higher complexity. The network optimization problem is considered in two cases each with several subcases. It is shown that the considered problem, which is originally nonconvex, can be transferred into different convex problems for all but two subcases. For the remaining two subcases, one for each case, it is proved that the optimal strategies for the source nodes and the relay must satisfy certain properties. Based on these properties, an algorithm is proposed for finding the optimal solution. The effect of asymmetry in the Power limits, number of antennas, and channels is also considered. Such asymmetry is shown to have a negative effect on both the achievable sum-rate and the Power allocation efficiency in MIMO DF TWR. Simulation results demonstrate the performance of the proposed algorithm and the effect of asymmetry in the system.

  • GLOBECOM - Power allocation/beamforming for DF MIMO two-way relaying: Relay and network optimization
    2012 IEEE Global Communications Conference (GLOBECOM), 2012
    Co-Authors: Jianshu Zhang, Sergiy A. Vorobyov, Hai Jiang, Martin Haardt
    Abstract:

    The problem of sum-rate maximization with Minimum Power Consumption is studied for a decode-and-forward (DF) multiple-input multiple-output (MIMO) two-way relaying system consisting of two sources and one relay. Two scenarios are investigated. In the first scenario, the relay optimizes its own Power allocation/beamforming strategy given that the strategies of the sources maximize the sum-rate of the multiple-access channel (MAC) phase. In the second scenario, the relay and the sources jointly optimize their Power allocation/beamforming strategies over both the MAC and broadcasting (BC) phases. The considered problem of sum-rate maximization with Minimum Power Consumption is shown to be nonconvex in both scenarios. For the first scenario, an algorithm is proposed to find the optimal strategy of the relay. For the second scenario, the sources and the relay find their strategies either through transferring the original nonconvex problem into corresponding convex problems or using a proposed low-complexity algorithm. Simulation results demonstrate the performance of proposed algorithms.

  • Power allocation/beamforming for DF MIMO two-way relaying: Relay and network optimization
    2012 IEEE Global Communications Conference (GLOBECOM), 2012
    Co-Authors: Jianshu Zhang, Sergiy A. Vorobyov, Hai Jiang, Martin Haardt
    Abstract:

    The problem of sum-rate maximization with Minimum Power Consumption is studied for a decode-and-forward (DF) multiple-input multiple-output (MIMO) two-way relaying system consisting of two sources and one relay. Two scenarios are investigated. In the first scenario, the relay optimizes its own Power allocation/beamforming strategy given that the strategies of the sources maximize the sum-rate of the multiple-access channel (MAC) phase. In the second scenario, the relay and the sources jointly optimize their Power allocation/beamforming strategies over both the MAC and broadcasting (BC) phases. The considered problem of sum-rate maximization with Minimum Power Consumption is shown to be nonconvex in both scenarios. For the first scenario, an algorithm is proposed to find the optimal strategy of the relay. For the second scenario, the sources and the relay find their strategies either through transferring the original nonconvex problem into corresponding convex problems or using a proposed low-complexity algorithm. Simulation results demonstrate the performance of proposed algorithms.

Jianshu Zhang - One of the best experts on this subject based on the ideXlab platform.

  • Sum-Rate Maximization With Minimum Power Consumption for MIMO DF Two-Way Relaying— Part I: Relay Optimization
    IEEE Transactions on Signal Processing, 2020
    Co-Authors: Sergiy A. Vorobyov, Hai Jiang, Jianshu Zhang, Martin Haardt
    Abstract:

    The problem of Power allocation is studied for a multiple-input multiple-output (MIMO) decode-and-forward (DF) two-way relaying system consisting of two source nodes and one relay. It is shown that achieving maximum sum-rate in such a system does not necessarily demand the Consumption of all available Power at the relay. Instead, the maximum sum-rate can be achieved through efficient Power allocation with Minimum Power Consumption. Deriving such Power allocation, however, is nontrivial due to the fact that it generally leads to a nonconvex problem. In Part I of this two-part paper, a sum-rate maximizing Power allocation with Minimum Power Consumption is found for MIMO DF two-way relaying, in which the relay optimizes its own Power allocation strategy given the Power allocation strategies of the source nodes. An algorithm is proposed for efficiently finding the optimal Power allocation of the relay based on the proposed idea of relative water-levels. The considered scenario features low complexity due to the fact that the relay optimizes its Power allocation without coordinating the source nodes. As a trade-off for the low complexity, it is shown that there can be waste of Power at the source nodes because of no coordination between the relay and the source nodes. Simulation results demonstrate the performance of the proposed algorithm and the effect of asymmetry on the considered system.Comment: 24 pages, 4 figures, Submitted to the IEEE Trans. Signal Processing in August 201

  • Sum-Rate Maximization With Minimum Power Consumption for MIMO DF Two-Way Relaying— Part I: Relay Optimization
    IEEE Transactions on Signal Processing, 2013
    Co-Authors: Sergiy A. Vorobyov, Hai Jiang, Jianshu Zhang, Martin Haardt
    Abstract:

    The problem of Power allocation is studied for a multiple-input multiple-output (MIMO) decode-and-forward (DF) two-way relaying (TWR) system consisting of two source nodes and one relay. It is shown that achieving maximum sum-rate in such a system does not necessarily demand the Consumption of all available Power at the relay. Instead, the maximum sum-rate can be achieved through efficient Power allocation with Minimum Power Consumption. Deriving such Power allocation, however, is nontrivial due to the fact that it generally leads to a nonconvex problem. In Part I of this two-part paper, a sum-rate maximizing Power allocation with Minimum Power Consumption is found for MIMO DF TWR in which the relay optimizes its own Power allocation strategy given the Power allocation strategies of the source nodes. An algorithm is proposed for efficiently finding the optimal Power allocation of the relay based on the proposed idea of relative water-levels. The considered scenario features low complexity due to the fact that the relay optimizes its Power allocation without coordinating the source nodes. As a tradeoff for the low complexity, it is shown that there can be waste of Power at the source nodes due to the lack of coordination between the relay and the source nodes. Simulation results demonstrate the performance of the proposed algorithm and the effect of asymmetry on the considered system.

  • Sum-Rate Maximization With Minimum Power Consumption for MIMO DF Two-Way Relaying— Part II: Network Optimization
    IEEE Transactions on Signal Processing, 2013
    Co-Authors: Sergiy A. Vorobyov, Hai Jiang, Jianshu Zhang, Martin Haardt
    Abstract:

    In Part II of this two-part paper, a sum-rate-maximizing Power allocation with Minimum Power Consumption is derived for multiple-input multiple-output (MIMO) decode-and-forward (DF) two-way relaying (TWR) in a network optimization scenario. In this scenario, the relay and the source nodes jointly optimize their Power allocation strategies to achieve network optimality. Unlike the relay optimization scenario considered in Part I, which features low complexity but does not achieve network optimality, the network-level optimal Power allocation can be achieved in the network optimization scenario at the cost of higher complexity. The network optimization problem is considered in two cases each with several subcases. It is shown that the considered problem, which is originally nonconvex, can be transferred into different convex problems for all but two subcases. For the remaining two subcases, one for each case, it is proved that the optimal strategies for the source nodes and the relay must satisfy certain properties. Based on these properties, an algorithm is proposed for finding the optimal solution. The effect of asymmetry in the Power limits, number of antennas, and channels is also considered. Such asymmetry is shown to have a negative effect on both the achievable sum-rate and the Power allocation efficiency in MIMO DF TWR. Simulation results demonstrate the performance of the proposed algorithm and the effect of asymmetry in the system.

  • GLOBECOM - Power allocation/beamforming for DF MIMO two-way relaying: Relay and network optimization
    2012 IEEE Global Communications Conference (GLOBECOM), 2012
    Co-Authors: Jianshu Zhang, Sergiy A. Vorobyov, Hai Jiang, Martin Haardt
    Abstract:

    The problem of sum-rate maximization with Minimum Power Consumption is studied for a decode-and-forward (DF) multiple-input multiple-output (MIMO) two-way relaying system consisting of two sources and one relay. Two scenarios are investigated. In the first scenario, the relay optimizes its own Power allocation/beamforming strategy given that the strategies of the sources maximize the sum-rate of the multiple-access channel (MAC) phase. In the second scenario, the relay and the sources jointly optimize their Power allocation/beamforming strategies over both the MAC and broadcasting (BC) phases. The considered problem of sum-rate maximization with Minimum Power Consumption is shown to be nonconvex in both scenarios. For the first scenario, an algorithm is proposed to find the optimal strategy of the relay. For the second scenario, the sources and the relay find their strategies either through transferring the original nonconvex problem into corresponding convex problems or using a proposed low-complexity algorithm. Simulation results demonstrate the performance of proposed algorithms.

  • Power allocation/beamforming for DF MIMO two-way relaying: Relay and network optimization
    2012 IEEE Global Communications Conference (GLOBECOM), 2012
    Co-Authors: Jianshu Zhang, Sergiy A. Vorobyov, Hai Jiang, Martin Haardt
    Abstract:

    The problem of sum-rate maximization with Minimum Power Consumption is studied for a decode-and-forward (DF) multiple-input multiple-output (MIMO) two-way relaying system consisting of two sources and one relay. Two scenarios are investigated. In the first scenario, the relay optimizes its own Power allocation/beamforming strategy given that the strategies of the sources maximize the sum-rate of the multiple-access channel (MAC) phase. In the second scenario, the relay and the sources jointly optimize their Power allocation/beamforming strategies over both the MAC and broadcasting (BC) phases. The considered problem of sum-rate maximization with Minimum Power Consumption is shown to be nonconvex in both scenarios. For the first scenario, an algorithm is proposed to find the optimal strategy of the relay. For the second scenario, the sources and the relay find their strategies either through transferring the original nonconvex problem into corresponding convex problems or using a proposed low-complexity algorithm. Simulation results demonstrate the performance of proposed algorithms.

Yehea Ismail - One of the best experts on this subject based on the ideXlab platform.

  • ICEAC - Design methodology for square wave resonant clock generators
    2012 International Conference on Energy Aware Computing, 2012
    Co-Authors: Mohamed El W. Mahalawy, Yehea Ismail
    Abstract:

    Resonant clocking is a promising low Power alternative for conventional clocking method. In this work, a design methodology is presented for square wave resonant clocking technique to assure Minimum Power Consumption. These equations were verified by designing a differential clock generator which showed 55% Power savings compared to conventional clocking.

  • Design methodology for square wave resonant clock generators
    2012 International Conference on Energy Aware Computing, 2012
    Co-Authors: Mohamed El W. Mahalawy, Yehea Ismail
    Abstract:

    Resonant clocking is a promising low Power alternative for conventional clocking method. In this work, a design methodology is presented for square wave resonant clocking technique to assure Minimum Power Consumption. These equations were verified by designing a differential clock generator which showed 55% Power savings compared to conventional clocking.

Hai Jiang - One of the best experts on this subject based on the ideXlab platform.

  • Sum-Rate Maximization With Minimum Power Consumption for MIMO DF Two-Way Relaying— Part I: Relay Optimization
    IEEE Transactions on Signal Processing, 2020
    Co-Authors: Sergiy A. Vorobyov, Hai Jiang, Jianshu Zhang, Martin Haardt
    Abstract:

    The problem of Power allocation is studied for a multiple-input multiple-output (MIMO) decode-and-forward (DF) two-way relaying system consisting of two source nodes and one relay. It is shown that achieving maximum sum-rate in such a system does not necessarily demand the Consumption of all available Power at the relay. Instead, the maximum sum-rate can be achieved through efficient Power allocation with Minimum Power Consumption. Deriving such Power allocation, however, is nontrivial due to the fact that it generally leads to a nonconvex problem. In Part I of this two-part paper, a sum-rate maximizing Power allocation with Minimum Power Consumption is found for MIMO DF two-way relaying, in which the relay optimizes its own Power allocation strategy given the Power allocation strategies of the source nodes. An algorithm is proposed for efficiently finding the optimal Power allocation of the relay based on the proposed idea of relative water-levels. The considered scenario features low complexity due to the fact that the relay optimizes its Power allocation without coordinating the source nodes. As a trade-off for the low complexity, it is shown that there can be waste of Power at the source nodes because of no coordination between the relay and the source nodes. Simulation results demonstrate the performance of the proposed algorithm and the effect of asymmetry on the considered system.Comment: 24 pages, 4 figures, Submitted to the IEEE Trans. Signal Processing in August 201

  • Sum-Rate Maximization With Minimum Power Consumption for MIMO DF Two-Way Relaying— Part I: Relay Optimization
    IEEE Transactions on Signal Processing, 2013
    Co-Authors: Sergiy A. Vorobyov, Hai Jiang, Jianshu Zhang, Martin Haardt
    Abstract:

    The problem of Power allocation is studied for a multiple-input multiple-output (MIMO) decode-and-forward (DF) two-way relaying (TWR) system consisting of two source nodes and one relay. It is shown that achieving maximum sum-rate in such a system does not necessarily demand the Consumption of all available Power at the relay. Instead, the maximum sum-rate can be achieved through efficient Power allocation with Minimum Power Consumption. Deriving such Power allocation, however, is nontrivial due to the fact that it generally leads to a nonconvex problem. In Part I of this two-part paper, a sum-rate maximizing Power allocation with Minimum Power Consumption is found for MIMO DF TWR in which the relay optimizes its own Power allocation strategy given the Power allocation strategies of the source nodes. An algorithm is proposed for efficiently finding the optimal Power allocation of the relay based on the proposed idea of relative water-levels. The considered scenario features low complexity due to the fact that the relay optimizes its Power allocation without coordinating the source nodes. As a tradeoff for the low complexity, it is shown that there can be waste of Power at the source nodes due to the lack of coordination between the relay and the source nodes. Simulation results demonstrate the performance of the proposed algorithm and the effect of asymmetry on the considered system.

  • Sum-Rate Maximization With Minimum Power Consumption for MIMO DF Two-Way Relaying— Part II: Network Optimization
    IEEE Transactions on Signal Processing, 2013
    Co-Authors: Sergiy A. Vorobyov, Hai Jiang, Jianshu Zhang, Martin Haardt
    Abstract:

    In Part II of this two-part paper, a sum-rate-maximizing Power allocation with Minimum Power Consumption is derived for multiple-input multiple-output (MIMO) decode-and-forward (DF) two-way relaying (TWR) in a network optimization scenario. In this scenario, the relay and the source nodes jointly optimize their Power allocation strategies to achieve network optimality. Unlike the relay optimization scenario considered in Part I, which features low complexity but does not achieve network optimality, the network-level optimal Power allocation can be achieved in the network optimization scenario at the cost of higher complexity. The network optimization problem is considered in two cases each with several subcases. It is shown that the considered problem, which is originally nonconvex, can be transferred into different convex problems for all but two subcases. For the remaining two subcases, one for each case, it is proved that the optimal strategies for the source nodes and the relay must satisfy certain properties. Based on these properties, an algorithm is proposed for finding the optimal solution. The effect of asymmetry in the Power limits, number of antennas, and channels is also considered. Such asymmetry is shown to have a negative effect on both the achievable sum-rate and the Power allocation efficiency in MIMO DF TWR. Simulation results demonstrate the performance of the proposed algorithm and the effect of asymmetry in the system.

  • GLOBECOM - Power allocation/beamforming for DF MIMO two-way relaying: Relay and network optimization
    2012 IEEE Global Communications Conference (GLOBECOM), 2012
    Co-Authors: Jianshu Zhang, Sergiy A. Vorobyov, Hai Jiang, Martin Haardt
    Abstract:

    The problem of sum-rate maximization with Minimum Power Consumption is studied for a decode-and-forward (DF) multiple-input multiple-output (MIMO) two-way relaying system consisting of two sources and one relay. Two scenarios are investigated. In the first scenario, the relay optimizes its own Power allocation/beamforming strategy given that the strategies of the sources maximize the sum-rate of the multiple-access channel (MAC) phase. In the second scenario, the relay and the sources jointly optimize their Power allocation/beamforming strategies over both the MAC and broadcasting (BC) phases. The considered problem of sum-rate maximization with Minimum Power Consumption is shown to be nonconvex in both scenarios. For the first scenario, an algorithm is proposed to find the optimal strategy of the relay. For the second scenario, the sources and the relay find their strategies either through transferring the original nonconvex problem into corresponding convex problems or using a proposed low-complexity algorithm. Simulation results demonstrate the performance of proposed algorithms.

  • Power allocation/beamforming for DF MIMO two-way relaying: Relay and network optimization
    2012 IEEE Global Communications Conference (GLOBECOM), 2012
    Co-Authors: Jianshu Zhang, Sergiy A. Vorobyov, Hai Jiang, Martin Haardt
    Abstract:

    The problem of sum-rate maximization with Minimum Power Consumption is studied for a decode-and-forward (DF) multiple-input multiple-output (MIMO) two-way relaying system consisting of two sources and one relay. Two scenarios are investigated. In the first scenario, the relay optimizes its own Power allocation/beamforming strategy given that the strategies of the sources maximize the sum-rate of the multiple-access channel (MAC) phase. In the second scenario, the relay and the sources jointly optimize their Power allocation/beamforming strategies over both the MAC and broadcasting (BC) phases. The considered problem of sum-rate maximization with Minimum Power Consumption is shown to be nonconvex in both scenarios. For the first scenario, an algorithm is proposed to find the optimal strategy of the relay. For the second scenario, the sources and the relay find their strategies either through transferring the original nonconvex problem into corresponding convex problems or using a proposed low-complexity algorithm. Simulation results demonstrate the performance of proposed algorithms.