Abstract
Appropriate resource allocation has great significance to enhance the energy efficiency (EE) for cooperative communication system. The objective is to allocate the resource to maximize the energy efficiency in single-cell multiuser cooperative communication system. We formulate this problem as subcarrier-based resource allocation and solve it with path planning in graph theory. A two-level neural network model is designed, in which the users and subcarrier are defined as network nodes. And then we propose an improved intelligent water drops algorithm combined with Genetic Algorithm; boundary condition and initialization rules of path soil quantity are put forward. The simulation results demonstrate that the proposed resource allocation scheme can effectively improve the energy efficiency and enhance QoS performance.
Highlights
The rapid energy consumption due to the demands of mobile communication services has become a subject of global interests from environment perspective
Because of its slow development and limited capacity, battery technology becomes the bottleneck of limiting the development of the portable terminals [1]; on the other hand, enormous energy consumption of the communication industry indirectly leads to the greenhouse gas emission and increases the operators’ operating costs
To meet the demands of QoS performance, a two-level neural network model based on intelligent water drops (IWDs) algorithm is proposed to solve the problem of resource allocation with optimal energy efficiency
Summary
The rapid energy consumption due to the demands of mobile communication services has become a subject of global interests from environment perspective. Designing a high energy-efficient communication system has become a consensus of the communication industry. A reasonable resource allocation scheme has great significance in improving the spectral efficiency and reducing the energy consumption. The traditional design of cooperative communication system mainly focuses on the improvement of system capacity, outage probability, spectral efficiency, and other performances. Wong et al [8] studied the network-level resource scheduling scheme in cooperative communication system and proposed a cooperative concept to obtain the higher energy efficiency; at the same time they designed high energy-efficient network architecture. A resource allocation scheme on game theory is established; it is proven that the cooperation between users can effectively improve the energy efficiency of the system [9]. In [10], Wireless Communications and Mobile Computing
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