scholarly journals Optimization of Joint Power and Bandwidth Allocation in Multi-Spot-Beam Satellite Communication Systems

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Heng Wang ◽  
Aijun Liu ◽  
Xiaofei Pan
Keyword(s):  
Bandwidth Allocation ◽  
Communication Systems ◽  
Optimization Problem ◽  
Satellite Communication ◽  
Optimal Allocation ◽  
Optimal Solution ◽  
System Capacity ◽  
Total System ◽  
Joint Power ◽  
Spot Beam

Multi-spot-beam technique has been widely applied in modern satellite communication systems. However, the satellite power and bandwidth resources in a multi-spot-beam satellite communication system are scarce and expensive; it is urgent to utilize the resources efficiently. To this end, dynamically allocating the power and bandwidth is an available way. This paper initially formulates the problem of resource joint allocation as a convex optimization problem, taking into account a compromise between the maximum total system capacity and the fairness among the spot beams. A joint bandwidth and power allocation iterative algorithm based on duality theory is then proposed to obtain the optimal solution of this optimization problem. Compared with the existing separate bandwidth or power optimal allocation algorithms, it is shown that the joint allocation algorithm improves both the total system capacity and the fairness among spot beams. Moreover, it is easy to be implemented in practice, as the computational complexity of the proposed algorithm is linear with the number of spot beams.

scholarly journals Optimization of Power Allocation for Multiusers in Multi-Spot-Beam Satellite Communication Systems

2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
Heng Wang ◽  
Aijun Liu ◽  
Xiaofei Pan ◽  
Jianfei Yang
Keyword(s):  
Resource Allocation ◽  
Power Allocation ◽  
Communication Systems ◽  
Satellite Communication ◽  
Utilization Efficiency ◽  
System Capacity ◽  
Total System ◽  
Allocation Algorithm ◽  
Satellite Platform ◽  
Spot Beam

In recent years, multi-spot-beam satellite communication systems have played a key role in global seamless communication. However, satellite power resources are scarce and expensive, due to the limitations of satellite platform. Therefore, this paper proposes optimizing the power allocation of each user in order to improve the power utilization efficiency. Initially the capacity allocated to each user is calculated according to the satellite link budget equations, which can be achieved in the practical satellite communication systems. The problem of power allocation is then formulated as a convex optimization, taking account of a trade-off between the maximization of the total system capacity and the fairness of power allocation amongst the users. Finally, an iterative algorithm based on the duality theory is proposed to obtain the optimal solution to the optimization. Compared with the traditional uniform resource allocation or proportional resource allocation algorithms, the proposed optimal power allocation algorithm improves the fairness of power allocation amongst the users. Moreover, the computational complexity of the proposed algorithm is linear with both the numbers of the spot beams and users. As a result, the proposed power allocation algorithm is easy to be implemented in practice.

scholarly journals Optimization of Power Allocation for a Multibeam Satellite Communication System with Interbeam Interference

2014 ◽  
Vol 2014 ◽  
pp. 1-8 ◽  
Author(s):  
Heng Wang ◽  
Aijun Liu ◽  
Xiaofei Pan ◽  
Jiong Li
Keyword(s):  
Power Allocation ◽  
Communication Systems ◽  
Satellite Communication ◽  
Utilization Efficiency ◽  
System Capacity ◽  
Total System ◽  
Allocation Algorithm ◽  
Dynamic Power ◽  
Power Resources ◽  
Multibeam Satellite Communication

In multibeam satellite communication systems it is important to improve the utilization efficiency of the power resources, due to the scarcity of satellite power resources. The interbeam interference between the beams must be considered in the power allocation; therefore, it is important to optimize the power allocated to each beam in order to improve the total system performance. Initially the power allocation problem is formulated as a nonlinear optimization, considering a compromise between the maximization of total system capacity and the fairness of the power allocation amongst the beams. A dynamic power allocation algorithm based on duality theory is then proposed to obtain a locally optimal solution for the optimization problem. Compared with traditional power allocation algorithms, this proposed dynamic power allocation algorithm improves the fairness of the power allocation amongst the beams, and, in addition, the proposed algorithm also increases the total system capacity in certain scenarios.

scholarly journals Performance of Resource Allocation in Device-to-Device Communication Systems Based on Evolutionally Optimization Algorithms

2018 ◽  
Author(s):  
Hsu-Tan Tan ◽  
Bor-An Chen ◽  
Yung-Fa Huang
Keyword(s):  
Particle Swarm Optimization ◽  
Evolutionary Algorithms ◽  
Communication Systems ◽  
Particle Swarm ◽  
Optimal Solution ◽  
System Capacity ◽  
Swarm Optimization ◽  
Device To Device ◽  
Simulation Results ◽  
Capacity Performance

In this study, the resource blocks (RB) are allocated to user equipment (UE) according to the evolutional algorithms for long term evolution (LTE) systems. Particle Swarm Optimization (PSO) algorithm is one of the evolutionary algorithms, based on the imitation of a flock of birds foraging behavior through learning and grouping the best experience. In previous work, the Simple Particle Swarm Optimization (SPSO) algorithm was proposed for RB allocation to enhance the throughput of Device-to-Device (D2D) communications and improve the system capacity performance. In simulation results, with less population size of M = 10, the SPSO can perform quickly convergence to sub-optimal solution in the 100th generation and obtained sub-optimum performance with more 2 UEs than the Rand method. Genetic algorithm (GA) is one of the evolutionary algorithms, based on Darwinian models of natural selection and evolution. Therefore, we further proposed a Refined PSO (RPSO) and a novel GA to enhance the throughput of UEs and to improve the system capacity performance. Simulation results show that the proposed GA with 100 populations, in 200 generations can converge to suboptimal solutions. Therefore, with comparing with the SPSO algorithm the proposed GA and RPSO can improve system capacity performance with 1.8 and 0.4 UEs, respectively.

Improved Amplify-and-Forward Cooperative Scheme for Satellite Communication Systems

2012 ◽  
Vol 198-199 ◽  
pp. 1707-1711
Author(s):  
Min Jia ◽  
Xue Mai Gu ◽  
Qun Wu
Keyword(s):  
Communication Systems ◽  
Satellite Communication ◽  
Cooperative Diversity ◽  
System Capacity ◽  
Wireless Communication Systems ◽  
Conventional System ◽  
Amplify And Forward ◽  
Cooperative Scheme ◽  
Simulation Results ◽  
Ber Performance

The technology of Amplify-and-forward cooperative diversity is popular for the cooperative communication system. And it can be applied when a communication terminal can’t communicate with other communication terminal directly. Moreover, this kind of scheme has been studied by the researchers for the application of terrestrial wireless communication systems. The conventional system presents that the power are equally distributed among all nodes. However, this algorithm can not be applied to satellites communication systems directly. Therefore, an improved Amplify-and-Forward cooperative scheme is presented in this paper, and the simulation results show that it can obtain the larger system capacity and better BER performance.

Application of BP Neural Network to Optimize the Allocation of Art Teaching Resources

2021 ◽  
Vol 7 (5) ◽  
pp. 4122-4132
Author(s):  
Xu Yingjie
Keyword(s):  
Resource Allocation ◽  
Optimization Problem ◽  
Optimal Allocation ◽  
Transmission Rate ◽  
Optimal Solution ◽  
Delay Model ◽  
Network Resource ◽  
Teaching Resources ◽  
Art Teaching ◽  
Network Resource Allocation

Reasonable allocation of art teaching resources can improve the management efficiency of art teaching resources. There is a large delay in the allocation of art teaching resources, which leads to the long occupation time of network resource allocation channel. The traditional method of network experiment resource allocation is to assign resource tasks for different channels to complete the resource allocation. When the network resource allocation channel occupies a long time, the allocation efficiency is reduced. This paper proposes an optimal allocation method of art teaching resources based on multi rate cognition. From the point of view that there are a pair of primary users and a pair of secondary users in the network, this method constructs a resource allocation delay model, obtains the resource allocation delay under different modes, and dynamically adjusts the transmission rate on the allocation resource block. The art teaching resource allocation scheduling problem is modeled as a nonlinear optimization problem, and the constraints of the optimization problem are given, which are integrated into greedy computing. The global optimal solution of the problem is carried out by using the method, and the allocation of art teaching resources is completed. Simulation results show that the proposed algorithm greatly improves the efficiency and effect of teaching network resource allocation.

scholarly journals Joint User Scheduling, Relay Selection, and Power Allocation for Multi-Antenna Opportunistic Beamforming Systems

Entropy ◽  
2021 ◽  
Vol 23 (10) ◽  
pp. 1278
Author(s):  
Wen-Bin Sun ◽  
Ming-Liang Tao ◽  
Xin Yang ◽  
Tao Zhang ◽  
Chuang Han ◽  
...  
Keyword(s):  
Communication Systems ◽  
Relay Selection ◽  
Optimization Problem ◽  
Optimal Solution ◽  
Achievable Rate ◽  
User Scheduling ◽  
Feedback Information ◽  
Fifth Generation ◽  
Np Hard Problem ◽  
Opportunistic Beamforming

Opportunistic beamforming (OBF) is a potential technique in the fifth generation (5G) and beyond 5G (B5G) that can boost the performance of communication systems and encourage high user quality of service (QoS) through multi-user selection gain. However, the achievable rate tends to be saturated with the increased number of users, when the number of users is large. To further improve the achievable rate, we proposed a multi-antenna opportunistic beamforming-based relay (MOBR) system, which can achieve both multi-user and multi-relay selection gains. Then, an optimization problem is formulated to maximize the achievable rate. Nevertheless, the optimization problem is a non-deterministic polynomial (NP)-hard problem, and it is difficult to obtain an optimal solution. In order to solve the proposed optimization problem, we divide it into two suboptimal issues and apply a joint iterative algorithm to consider both the suboptimal issues. Our simulation results indicate that the proposed system achieved a higher achievable rate than the conventional OBF systems and outperformed other beamforming schemes with low feedback information.

System Modeling and Precoding Design for Multi-beam Dual-polarized Satellite MIMO System

2019 ◽  
Vol 13 (4) ◽  
pp. 374-381
Author(s):  
Tao Kai ◽  
Sun Xiaoyun ◽  
Wang Yang ◽  
Jingchun Li
Keyword(s):  
Communication Systems ◽  
Satellite Communication ◽  
Channel Model ◽  
Transmission Rate ◽  
Mimo System ◽  
System Modeling ◽  
Satellite Communications ◽  
Satellite System ◽  
System Capacity ◽  
Dual Polarized

Background: As the multimedia service develops and the transmission rate in terrestrial communication systems increases rapidly, satellite communication needs to improve the transmission rate and throughput. Multiple Input Multiple Output (MIMO) techniques can increase the system capacity significantly by introducing the space dimension, as the system bandwidth remains the same. Therefore, utilization of MIMO for satellite communications to increase the capacity is an important research topic. So MIMO techniques for multibeam satellite communications are researched in the dissertation. Objective: The goal of this work is improving the capacity of the satellite system. Multi-beam and dual-polarized technologies are applied to a satellite system to improve the capacity further. Methods: In this paper, we first introduce a multi-beam dual-polarized satellite multi-put and multiout (MBDP-S-MIMO) system which combines the full frequency multiplexing and dual-polarization technologies. Then the system model and channel model are first constructed. At last, to improve the capacity further, BD and BD-ZF precoding algorithms are applied to MBDP-S-MIMO and their performance is verified by simulation. Results: Simulation results show the performance of the BD precoding algorithm gets better with the growth of the XPD at the receiver and is almost not affected by the growth of the channel polarization correlation coefficient. In addition, with the growth of the users’ speed, the performance becomes worse. Conclusion: The multi-beam dual-polarized satellite MIMO system has high capacity, and it has certain application prospects for satellite communication.

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