The Experts below are selected from a list of 714 Experts worldwide ranked by ideXlab platform
Xianchao Wang - One of the best experts on this subject based on the ideXlab platform.
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Resource allocation and Dynamic Power Control for D2D communication underlaying uplink multi-cell networks
Wireless Networks, 2018Co-Authors: Fan Jiang, Ben Chao Wang, Chang-yin Sun, Yao Liu, Xianchao WangAbstract:© 2016 Springer Science+Business Media New York Underlaying device-to-device (D2D) communication is suggested as a promising technology for the next generation cellular networks (5G), where users in close proximity can transmit directly to one another bypassing the base station. However, when D2D communications underlay cellular networks, the potential gain from resource sharing is highly determined by how the interference is managed. In order to mitigate the resource reuse interference between D2D user equipment and cellular user equipment in a multi-cell environment, we propose a resource allocation scheme and Dynamic Power Control for D2D communication underlaying uplink cellular network. Specifically, by introducing the fractional frequency reuse (FFR) principle into the multi-cell architecture, we divide the cellular network into inner region and outer region. Combined with resource partition method, we then formulate the optimization problem so as to maximize the total throughput. However, due to the coupled relationship between resource allocation and Power Control scheme, the optimization problem is NP-hard and combinational. In order to minimize the interference caused by D2D spectrum reuse, we solve the overall throughput optimization problem by dividing the original problem into two sub-problems. We first propose a heuristic resource pairing algorithm based on overall interference minimization. Then with reference to uplink fractional Power Control (FPC), a Dynamic Power Control method is proposed. By introducing the interference constraint, we use a lower bound of throughput as a cost function and solve the optimal Power allocation problem based on dual Lagrangian decomposition method. Simulation results demonstrate that the proposed algorithm achieves efficient performance compared with existing methods.
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WCSP - Dynamic Power Control based on FFR for D2D communication underlaying cellular networks
2016 8th International Conference on Wireless Communications & Signal Processing (WCSP), 2016Co-Authors: Fan Jiang, Xianchao Wang, Chen-bi Li, Bin-yan ShenAbstract:By reuse the resource of existing cellular users, D2D (Device-to-Device) communication underlaying cellular network can improve the spectrum utilization rate and reduce the Power consumption of mobile terminals. However, it will also bring interference to the existing cellular network. How to effectively restrain the interference caused by resource reuse has become the most important factor that affects the performance of multi-cell networks. In order to ensure the quality of service of D2D users and cellular users, this paper studies the Power Control and resource allocation scheme for D2D communication underlaying cellular communications. Specifically, based on multi-cell cellular network architecture, fractional frequency reuse is introduced to achieve resource partitioning and resource reuse between cellular users and D2D users. Based on the principle of maximizing the throughput of the whole system, the optimization objective is then established. Combined with the fractional Power Control and with the introduction of interference limits, we use the Lagrangian dual decomposition to solve the optimization objectives, and propose a Dynamic Power Control strategy. Simulation results show that compared with the existing algorithms, the proposed scheme improves the performance of the overall system.
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Resource allocation and Dynamic Power Control for D2D communication underlaying uplink multi-cell networks
Wireless Networks, 2016Co-Authors: Fan Jiang, Ben Chao Wang, Xianchao WangAbstract:Underlaying device-to-device (D2D) communication is suggested as a promising technology for the next generation cellular networks (5G), where users in close proximity can transmit directly to one another bypassing the base station. However, when D2D communications underlay cellular networks, the potential gain from resource sharing is highly determined by how the interference is managed. In order to mitigate the resource reuse interference between D2D user equipment and cellular user equipment in a multi-cell environment, we propose a resource allocation scheme and Dynamic Power Control for D2D communication underlaying uplink cellular network. Specifically, by introducing the fractional frequency reuse (FFR) principle into the multi-cell architecture, we divide the cellular network into inner region and outer region. Combined with resource partition method, we then formulate the optimization problem so as to maximize the total throughput. However, due to the coupled relationship between resource allocation and Power Control scheme, the optimization problem is NP-hard and combinational. In order to minimize the interference caused by D2D spectrum reuse, we solve the overall throughput optimization problem by dividing the original problem into two sub-problems. We first propose a heuristic resource pairing algorithm based on overall interference minimization. Then with reference to uplink fractional Power Control (FPC), a Dynamic Power Control method is proposed. By introducing the interference constraint, we use a lower bound of throughput as a cost function and solve the optimal Power allocation problem based on dual Lagrangian decomposition method. Simulation results demonstrate that the proposed algorithm achieves efficient performance compared with existing methods.
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Dynamic Power Control based on FFR for D2D communication underlaying cellular networks
2016 8th International Conference on Wireless Communications & Signal Processing (WCSP), 2016Co-Authors: Fan Jiang, Xianchao Wang, Chen-bi Li, Bin-yan ShenAbstract:By reuse the resource of existing cellular users, D2D (Device-to-Device) communication underlaying cellular network can improve the spectrum utilization rate and reduce the Power consumption of mobile terminals. However, it will also bring interference to the existing cellular network. How to effectively restrain the interference caused by resource reuse has become the most important factor that affects the performance of multi-cell networks. In order to ensure the quality of service of D2D users and cellular users, this paper studies the Power Control and resource allocation scheme for D2D communication underlaying cellular communications. Specifically, based on multi-cell cellular network architecture, fractional frequency reuse is introduced to achieve resource partitioning and resource reuse between cellular users and D2D users. Based on the principle of maximizing the throughput of the whole system, the optimization objective is then established. Combined with the fractional Power Control and with the introduction of interference limits, we use the Lagrangian dual decomposition to solve the optimization objectives, and propose a Dynamic Power Control strategy. Simulation results show that compared with the existing algorithms, the proposed scheme improves the performance of the overall system.
Fan Jiang - One of the best experts on this subject based on the ideXlab platform.
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Resource allocation and Dynamic Power Control for D2D communication underlaying uplink multi-cell networks
Wireless Networks, 2018Co-Authors: Fan Jiang, Ben Chao Wang, Chang-yin Sun, Yao Liu, Xianchao WangAbstract:© 2016 Springer Science+Business Media New York Underlaying device-to-device (D2D) communication is suggested as a promising technology for the next generation cellular networks (5G), where users in close proximity can transmit directly to one another bypassing the base station. However, when D2D communications underlay cellular networks, the potential gain from resource sharing is highly determined by how the interference is managed. In order to mitigate the resource reuse interference between D2D user equipment and cellular user equipment in a multi-cell environment, we propose a resource allocation scheme and Dynamic Power Control for D2D communication underlaying uplink cellular network. Specifically, by introducing the fractional frequency reuse (FFR) principle into the multi-cell architecture, we divide the cellular network into inner region and outer region. Combined with resource partition method, we then formulate the optimization problem so as to maximize the total throughput. However, due to the coupled relationship between resource allocation and Power Control scheme, the optimization problem is NP-hard and combinational. In order to minimize the interference caused by D2D spectrum reuse, we solve the overall throughput optimization problem by dividing the original problem into two sub-problems. We first propose a heuristic resource pairing algorithm based on overall interference minimization. Then with reference to uplink fractional Power Control (FPC), a Dynamic Power Control method is proposed. By introducing the interference constraint, we use a lower bound of throughput as a cost function and solve the optimal Power allocation problem based on dual Lagrangian decomposition method. Simulation results demonstrate that the proposed algorithm achieves efficient performance compared with existing methods.
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WCSP - Dynamic Power Control based on FFR for D2D communication underlaying cellular networks
2016 8th International Conference on Wireless Communications & Signal Processing (WCSP), 2016Co-Authors: Fan Jiang, Xianchao Wang, Chen-bi Li, Bin-yan ShenAbstract:By reuse the resource of existing cellular users, D2D (Device-to-Device) communication underlaying cellular network can improve the spectrum utilization rate and reduce the Power consumption of mobile terminals. However, it will also bring interference to the existing cellular network. How to effectively restrain the interference caused by resource reuse has become the most important factor that affects the performance of multi-cell networks. In order to ensure the quality of service of D2D users and cellular users, this paper studies the Power Control and resource allocation scheme for D2D communication underlaying cellular communications. Specifically, based on multi-cell cellular network architecture, fractional frequency reuse is introduced to achieve resource partitioning and resource reuse between cellular users and D2D users. Based on the principle of maximizing the throughput of the whole system, the optimization objective is then established. Combined with the fractional Power Control and with the introduction of interference limits, we use the Lagrangian dual decomposition to solve the optimization objectives, and propose a Dynamic Power Control strategy. Simulation results show that compared with the existing algorithms, the proposed scheme improves the performance of the overall system.
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Resource allocation and Dynamic Power Control for D2D communication underlaying uplink multi-cell networks
Wireless Networks, 2016Co-Authors: Fan Jiang, Ben Chao Wang, Xianchao WangAbstract:Underlaying device-to-device (D2D) communication is suggested as a promising technology for the next generation cellular networks (5G), where users in close proximity can transmit directly to one another bypassing the base station. However, when D2D communications underlay cellular networks, the potential gain from resource sharing is highly determined by how the interference is managed. In order to mitigate the resource reuse interference between D2D user equipment and cellular user equipment in a multi-cell environment, we propose a resource allocation scheme and Dynamic Power Control for D2D communication underlaying uplink cellular network. Specifically, by introducing the fractional frequency reuse (FFR) principle into the multi-cell architecture, we divide the cellular network into inner region and outer region. Combined with resource partition method, we then formulate the optimization problem so as to maximize the total throughput. However, due to the coupled relationship between resource allocation and Power Control scheme, the optimization problem is NP-hard and combinational. In order to minimize the interference caused by D2D spectrum reuse, we solve the overall throughput optimization problem by dividing the original problem into two sub-problems. We first propose a heuristic resource pairing algorithm based on overall interference minimization. Then with reference to uplink fractional Power Control (FPC), a Dynamic Power Control method is proposed. By introducing the interference constraint, we use a lower bound of throughput as a cost function and solve the optimal Power allocation problem based on dual Lagrangian decomposition method. Simulation results demonstrate that the proposed algorithm achieves efficient performance compared with existing methods.
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Dynamic Power Control based on FFR for D2D communication underlaying cellular networks
2016 8th International Conference on Wireless Communications & Signal Processing (WCSP), 2016Co-Authors: Fan Jiang, Xianchao Wang, Chen-bi Li, Bin-yan ShenAbstract:By reuse the resource of existing cellular users, D2D (Device-to-Device) communication underlaying cellular network can improve the spectrum utilization rate and reduce the Power consumption of mobile terminals. However, it will also bring interference to the existing cellular network. How to effectively restrain the interference caused by resource reuse has become the most important factor that affects the performance of multi-cell networks. In order to ensure the quality of service of D2D users and cellular users, this paper studies the Power Control and resource allocation scheme for D2D communication underlaying cellular communications. Specifically, based on multi-cell cellular network architecture, fractional frequency reuse is introduced to achieve resource partitioning and resource reuse between cellular users and D2D users. Based on the principle of maximizing the throughput of the whole system, the optimization objective is then established. Combined with the fractional Power Control and with the introduction of interference limits, we use the Lagrangian dual decomposition to solve the optimization objectives, and propose a Dynamic Power Control strategy. Simulation results show that compared with the existing algorithms, the proposed scheme improves the performance of the overall system.
Hailin Zhang - One of the best experts on this subject based on the ideXlab platform.
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Optimal Dynamic Power Control for full-duplex bidirectional-channel based wireless networks
2013 Proceedings IEEE INFOCOM, 2013Co-Authors: Wenchi Cheng, Xi Zhang, Hailin ZhangAbstract:We consider the full-duplex transmission over bidirectional channels with imperfect self-interference cancelation in wireless networks. In particular, together using propagation-domain interference suppression, analog-domain interference cancellation, and digital-domain interference cancellation, we develop the optimal Dynamic Power allocation schemes for the wireless full-duplex sum-rate optimization problem which aims at maximizing the sum-rate of wireless full-duplex bidirectional transmissions. In the high signal-to-interference-plus-noise ratio (SINR) region, the full-duplex sum-rate maximization problem is a convex optimization problem. For interference-dominated wireless full-duplex transmission in the high SINR region, we derive the closed-form expression for the optimal Dynamic Power allocation scheme. For non-interference-dominated wireless full-duplex transmission in the high SINR region, we obtain the optimal Dynamic Power allocation scheme by numerically solving the corresponding Karush-Kuhn-Tucker (KKT) conditions. While the full-duplex sum-rate maximization problem is usually not a convex optimization problem, by developing the tightest lower-bound function and using the logarithmic change of variables technique, we convert the full-duplex sum-rate maximization problem to a convex optimization problem. Then, using our proposed iteration algorithm, we can numerically derive the optimal Dynamic Power allocation scheme for the more generic scenario. Also presented are the numerical results which validate our developed optimal Dynamic Power allocation schemes.
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INFOCOM - Optimal Dynamic Power Control for full-duplex bidirectional-channel based wireless networks
2013 Proceedings IEEE INFOCOM, 2013Co-Authors: Wenchi Cheng, Xi Zhang, Hailin ZhangAbstract:We consider the full-duplex transmission over bidirectional channels with imperfect self-interference cancelation in wireless networks. In particular, together using propagation-domain interference suppression, analog-domain interference cancellation, and digital-domain interference cancellation, we develop the optimal Dynamic Power allocation schemes for the wireless full-duplex sum-rate optimization problem which aims at maximizing the sum-rate of wireless full-duplex bidirectional transmissions. In the high signal-to-interference-plus-noise ratio (SINR) region, the full-duplex sum-rate maximization problem is a convex optimization problem. For interference-dominated wireless full-duplex transmission in the high SINR region, we derive the closed-form expression for the optimal Dynamic Power allocation scheme. For non-interference-dominated wireless full-duplex transmission in the high SINR region, we obtain the optimal Dynamic Power allocation scheme by numerically solving the corresponding Karush-Kuhn-Tucker (KKT) conditions. While the full-duplex sum-rate maximization problem is usually not a convex optimization problem, by developing the tightest lower-bound function and using the logarithmic change of variables technique, we convert the full-duplex sum-rate maximization problem to a convex optimization problem. Then, using our proposed iteration algorithm, we can numerically derive the optimal Dynamic Power allocation scheme for the more generic scenario. Also presented are the numerical results which validate our developed optimal Dynamic Power allocation schemes.
Wenchi Cheng - One of the best experts on this subject based on the ideXlab platform.
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Optimal Dynamic Power Control for full-duplex bidirectional-channel based wireless networks
2013 Proceedings IEEE INFOCOM, 2013Co-Authors: Wenchi Cheng, Xi Zhang, Hailin ZhangAbstract:We consider the full-duplex transmission over bidirectional channels with imperfect self-interference cancelation in wireless networks. In particular, together using propagation-domain interference suppression, analog-domain interference cancellation, and digital-domain interference cancellation, we develop the optimal Dynamic Power allocation schemes for the wireless full-duplex sum-rate optimization problem which aims at maximizing the sum-rate of wireless full-duplex bidirectional transmissions. In the high signal-to-interference-plus-noise ratio (SINR) region, the full-duplex sum-rate maximization problem is a convex optimization problem. For interference-dominated wireless full-duplex transmission in the high SINR region, we derive the closed-form expression for the optimal Dynamic Power allocation scheme. For non-interference-dominated wireless full-duplex transmission in the high SINR region, we obtain the optimal Dynamic Power allocation scheme by numerically solving the corresponding Karush-Kuhn-Tucker (KKT) conditions. While the full-duplex sum-rate maximization problem is usually not a convex optimization problem, by developing the tightest lower-bound function and using the logarithmic change of variables technique, we convert the full-duplex sum-rate maximization problem to a convex optimization problem. Then, using our proposed iteration algorithm, we can numerically derive the optimal Dynamic Power allocation scheme for the more generic scenario. Also presented are the numerical results which validate our developed optimal Dynamic Power allocation schemes.
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INFOCOM - Optimal Dynamic Power Control for full-duplex bidirectional-channel based wireless networks
2013 Proceedings IEEE INFOCOM, 2013Co-Authors: Wenchi Cheng, Xi Zhang, Hailin ZhangAbstract:We consider the full-duplex transmission over bidirectional channels with imperfect self-interference cancelation in wireless networks. In particular, together using propagation-domain interference suppression, analog-domain interference cancellation, and digital-domain interference cancellation, we develop the optimal Dynamic Power allocation schemes for the wireless full-duplex sum-rate optimization problem which aims at maximizing the sum-rate of wireless full-duplex bidirectional transmissions. In the high signal-to-interference-plus-noise ratio (SINR) region, the full-duplex sum-rate maximization problem is a convex optimization problem. For interference-dominated wireless full-duplex transmission in the high SINR region, we derive the closed-form expression for the optimal Dynamic Power allocation scheme. For non-interference-dominated wireless full-duplex transmission in the high SINR region, we obtain the optimal Dynamic Power allocation scheme by numerically solving the corresponding Karush-Kuhn-Tucker (KKT) conditions. While the full-duplex sum-rate maximization problem is usually not a convex optimization problem, by developing the tightest lower-bound function and using the logarithmic change of variables technique, we convert the full-duplex sum-rate maximization problem to a convex optimization problem. Then, using our proposed iteration algorithm, we can numerically derive the optimal Dynamic Power allocation scheme for the more generic scenario. Also presented are the numerical results which validate our developed optimal Dynamic Power allocation schemes.
Ben Chao Wang - One of the best experts on this subject based on the ideXlab platform.
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Resource allocation and Dynamic Power Control for D2D communication underlaying uplink multi-cell networks
Wireless Networks, 2018Co-Authors: Fan Jiang, Ben Chao Wang, Chang-yin Sun, Yao Liu, Xianchao WangAbstract:© 2016 Springer Science+Business Media New York Underlaying device-to-device (D2D) communication is suggested as a promising technology for the next generation cellular networks (5G), where users in close proximity can transmit directly to one another bypassing the base station. However, when D2D communications underlay cellular networks, the potential gain from resource sharing is highly determined by how the interference is managed. In order to mitigate the resource reuse interference between D2D user equipment and cellular user equipment in a multi-cell environment, we propose a resource allocation scheme and Dynamic Power Control for D2D communication underlaying uplink cellular network. Specifically, by introducing the fractional frequency reuse (FFR) principle into the multi-cell architecture, we divide the cellular network into inner region and outer region. Combined with resource partition method, we then formulate the optimization problem so as to maximize the total throughput. However, due to the coupled relationship between resource allocation and Power Control scheme, the optimization problem is NP-hard and combinational. In order to minimize the interference caused by D2D spectrum reuse, we solve the overall throughput optimization problem by dividing the original problem into two sub-problems. We first propose a heuristic resource pairing algorithm based on overall interference minimization. Then with reference to uplink fractional Power Control (FPC), a Dynamic Power Control method is proposed. By introducing the interference constraint, we use a lower bound of throughput as a cost function and solve the optimal Power allocation problem based on dual Lagrangian decomposition method. Simulation results demonstrate that the proposed algorithm achieves efficient performance compared with existing methods.
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Resource allocation and Dynamic Power Control for D2D communication underlaying uplink multi-cell networks
Wireless Networks, 2016Co-Authors: Fan Jiang, Ben Chao Wang, Xianchao WangAbstract:Underlaying device-to-device (D2D) communication is suggested as a promising technology for the next generation cellular networks (5G), where users in close proximity can transmit directly to one another bypassing the base station. However, when D2D communications underlay cellular networks, the potential gain from resource sharing is highly determined by how the interference is managed. In order to mitigate the resource reuse interference between D2D user equipment and cellular user equipment in a multi-cell environment, we propose a resource allocation scheme and Dynamic Power Control for D2D communication underlaying uplink cellular network. Specifically, by introducing the fractional frequency reuse (FFR) principle into the multi-cell architecture, we divide the cellular network into inner region and outer region. Combined with resource partition method, we then formulate the optimization problem so as to maximize the total throughput. However, due to the coupled relationship between resource allocation and Power Control scheme, the optimization problem is NP-hard and combinational. In order to minimize the interference caused by D2D spectrum reuse, we solve the overall throughput optimization problem by dividing the original problem into two sub-problems. We first propose a heuristic resource pairing algorithm based on overall interference minimization. Then with reference to uplink fractional Power Control (FPC), a Dynamic Power Control method is proposed. By introducing the interference constraint, we use a lower bound of throughput as a cost function and solve the optimal Power allocation problem based on dual Lagrangian decomposition method. Simulation results demonstrate that the proposed algorithm achieves efficient performance compared with existing methods.
