Energy efficiency optimization based cooperative communication system resource allocation method
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A technology of cooperative communication and system resources, which is applied in the field of resource allocation of cooperative communication systems based on optimal energy efficiency, and can solve problems such as reducing algorithm complexity
Inactive Publication Date: 2016-11-16
辛建芳
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[0007] The energy efficiency optimization method for relay cooperation in existing cellular networks does not fully consider the optimal system energy efficiency under time averaging, ensuring the fairness of system resource allocation, joint subcarrier allocation and power allocation, real-time requirements, and low-complexity algorithms For problems such as practical application, the present invention proposes a resource allocation method for a cooperative communication system based on optimal energy efficiency. Through subcarrier allocation and power allocation, the maximum number of bits transmitted per joule of energy in the entire cooperative network is realized, and at the same time Consider system proportional fairness
The optimization problem is divided into two sub-problems to solve, and the power allocation on the subcarriers is obtained through cyclic iterations. In the process of subcarrier allocation, not only the current channel state information, but also the previous channel state are considered, and the complexity of the algorithm of the present invention is reduced through ingenious conversion.
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Embodiment 1
[0061] A resource allocation method for a cooperative communication system based on energy efficiency optimization, including
[0062] Step 1: Build a system model;
[0063] The present invention is aimed at a special application scene, comes from practical application, and the scene setting is meticulous and reasonable, and has practical guiding significance. Such as figure 1 As shown, the multi-relay multi-user OFDM downlink network, the system consists of base station S, M users (D 1 ,...,D M ) and N relays (R 1 ,...,R N )composition. Users are freely distributed in the ring outside the relay in the cell. Assuming that the user is far away from the base station, the user cannot directly receive the signal transmitted by the base station. The system is in TDD mode, that is, signal transmission is divided into two time slots. In the first time slot, the base station sends a signal to the relay through the subcarrier. In the next time slot, the relay receives the signa...
Embodiment 2
[0089] On the basis of the first embodiment, using the Lagrange multiplier algorithm, we can use the subgradient method in the process of each iteration of the loop, and choose a gradual step length, so that the optimization is more accurate. Specifically, the Lagrangian factor β in the Lagrangian form of the optimization problem P1 k ,β s ,β r,n The iterative update method of the method adopts a subgradient algorithm, which has lower complexity and is more efficient. The iterative update equation of the subgradient algorithm is:
[0090] β k ( τ + 1 ) = [ β k ( τ ) - δ k ( τ ) ...
Embodiment 3
[0097] This embodiment provides a detailed method to solve the most optimization problem P1, specifically:
[0098] It can be seen from the optimization problem P1 that the optimization model of the energy efficiency is a nonlinear mixed integer programming problem, which cannot be solved by the current conventional method. In order to reduce the complexity of the problem, the present invention first uses the Dinkelbach method to optimize the model It becomes a linear convex programming, and then solves the simplified linear programming problem based on the dual programming. At the same time, the optimization problem is divided into two sub-problems to complete: subcarrier allocation and power allocation.
[0099] First, consider the subcarrier allocation;
[0100] Although the exhaustive algorithm as a carrier allocation algorithm can greatly improve the performance of the system, its computational complexity is very high. The present invention adopts a low-complexity carrie...
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Abstract
The invention discloses an energy efficiency optimization based cooperative communication system resource allocation method, and belongs to the technical field of cooperative communication. The energy efficiency optimization based cooperative communication system resource allocation method comprises the steps of establishing a system model, analyzing a system scene, summarizing problems and solving an optimization problem by using a convex optimization method. The energy efficiency optimization based cooperative communication system resource allocation method gives consideration to system energy efficiency in the presence of time average; a time average based energy efficiency algorithm not only considers the performance of a current system, but also gives consideration to the system performance at the moments before the current moment, so that the fairness of system resource allocation is ensured, a mathematical expression of user fairness is provided; meanwhile, a simpler power sub-carrier adaptive allocation formula can be obtained tactfully through operation. According to the energy efficiency optimization based cooperative communication system resource allocation method, the optimization problem is divided into two sub-problems to be solved, power allocation on the sub-carrier is obtained through cyclical iteration, not only the current channel state information but also the former channel state are considered in the sub-carrier allocation process, the algorithm complexity of the energy efficiency optimization based cooperative communication system resource allocation method is reduced through tactful conversion, and the mathematical expression of the complexity is provided. The energy efficiency optimization based cooperative communication system resource allocation method is rational in algorithm design and easy to implement.
Description
technical field [0001] The invention belongs to the technical field of cooperative communication, and more specifically relates to a resource allocation method of a cooperative communication system based on optimal energy efficiency. Background technique [0002] Future wireless communication networks will provide users with broadband services such as the Internet. Those broadband services require reliable and high-speed communication in harsh mobile environments with limited spectrum and intersymbol interference caused by multipath fading. Orthogonal Frequency Division Multiplexing (OFDM) is one of the most promising solutions to this kind of intersymbol interference. [0003] The concept of OFDM was put forward very early, and its basic idea is to use overlapping and independent sub-carriers to transmit in parallel using frequency division multiplexing technology. The early OFDM system structure is quite complicated, and the cost is very high, so the application range is...
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