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 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 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 An Efficient Resource Allocation Algorithm for Device-To-Device Communications

2019 ◽  
Vol 9 (18) ◽  
pp. 3816 ◽  
Author(s):  
Saraereh ◽  
Mohammed ◽  
Khan ◽  
Rabie ◽  
Affess
Keyword(s):  
Resource Allocation ◽  
Optimal Algorithm ◽  
Search Algorithm ◽  
Low Complexity ◽  
System Capacity ◽  
Total System ◽  
Resource Allocation Algorithm ◽  
Allocation Algorithm ◽  
Device To Device ◽  
Total Capacity

In order to solve the problem of interference and spectrum optimization caused by D2D (device-to-device) communication multiplexing uplink channel of heterogeneous cellular networks, the allocation algorithm based on the many-to-one Gale-Shapley (M21GS) algorithm proposed in this paper can effectively solve the resource allocation problem of D2D users multiplexed cellular user channels in heterogeneous cellular network environments. In order to improve the utilization of the wireless spectrum, the algorithm allows multiple D2D users to share the channel resources of one cellular user and maintains the communication service quality of the cellular users and D2D users by setting the signal to interference and noise ratio (SINR) threshold. A D2D user and channel preference list are established based on the implemented system’s capacity to maximize the system total capacity objective function. Finally, we use the Kuhn–Munkres (KM) algorithm to achieve the optimal matching between D2D clusters and cellular channel to maximize the total capacity of D2D users. The MATLAB simulation is used to compare and analyze the total system capacity of the proposed algorithm, the resource allocation algorithm based on the delay acceptance algorithm, the random resource allocation algorithm and the optimal exhaustive search algorithm, and the maximum allowable access for D2D users. The simulation results show that the proposed algorithm has fast convergence and low complexity, and the total capacity is close to the optimal algorithm.

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.

scholarly journals Power Allocation and User Clustering in Multicast NOMA based Satellite Communication Systems

2020 ◽  
Author(s):  
Sareh Majidi Ivari ◽  
Marius Caus ◽  
Miguel Angel Vazquez ◽  
M. Reza Soleymani ◽  
Yousef R. Shayan ◽  
...  
Keyword(s):  
Power Allocation ◽  
Communication Systems ◽  
Satellite Communication ◽  
User Clustering
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