Resource distribution method in energy acquisition small cellular network
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A technology of energy collection and resource allocation, applied in the field of wireless communication
Inactive Publication Date: 2016-12-21
辛建芳
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[0011] Aiming at the problem that the existing small cell network does not fully consider the system optimization under the causal constraint of user energy, the energy saving scheme of renewable energy, and the auxiliary relay station, the present invention proposes a resource allocation method in the energy harvesting small cell network. Under the comprehensive consideration of user energy causal constraints, combined with renewable energy energy-saving solutions, assisting cooperative forwarding of energy harvesting relay stations, maximizing user network performance
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Embodiment 1
[0082] A resource allocation method in an energy harvesting small cell network, characterized in that it comprises:
[0083] Step 1: system scene analysis, problem analysis;
[0084] The present invention considers a classic three-node scenario in an energy-harvesting small-cell network, and aims at a special application scenario, sourced from practical applications, and the scenario setting is meticulous and reasonable, and has practical guiding significance. In the scene, there is an energy harvesting small cell Small Cell (abbreviated as S), an energy harvesting relay station Relay (abbreviated as R) and a target communication cellular user Destination (abbreviated as D). The invention fully considers the environmental protection scheme of renewable energy, combines the cooperative forwarding function of the relay station, adopts the cooperative forwarding data of the energy collection relay station, and maximizes the performance of the user network. Considering that there...
Embodiment 2
[0141] On the basis of Embodiment 1 of the present invention, we further improve, for solving the optimization problem, adopt convex optimization processing, transform the objective function of the optimization problem, without approximate calculation, do not affect the accuracy of the problem, and greatly reduce the Computational complexity, reducing the delay caused by system overhead.
[0142] Specifically, the step 2 may also include: convex optimization processing, using the Lagrangian theorem and KKT conditions in the convex optimization theory, the optimization problem can be subjected to convex optimization processing, and the optimization problem can be transformed into:
[0143] P2:
[0144] s . t . Σ i = 1 k P S ( i ) ≤ 1 ...
Embodiment 3
[0152] The solution of the second embodiment can adopt the classic interior point method, but the calculation complexity is high and the calculation time is long. On the basis of the second embodiment, the present invention is further improved, and the optimization adopts the Lagrange multiplier method, so the optimization speed is fast and the algorithm complexity is low.
[0153] Specifically, we can write the Lagrangian form of problem P2,
[0154] L ( P S ( i ) , P R ( i + 1 ) , ...
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Abstract
The invention discloses a resource distribution method in energy acquisition small cellular network, belonging to the technical field of wireless communication. The method comprises the steps of system scene analysis and problem resolution, system mathematics model establishment, and the obtainment of an optimal solution by an optimization method. The method is for a special application scene and is from practical application, the environmental protection scheme of renewable sources is fully considered, and combined with the cooperation forwarding function of a relay station, an energy acquisition relay station is used for the cooperation of data forwarding. For the solution of an optimization problem, the convex optimization processing is employed, the target function of an optimization problem is converted, without approximation calculating, while the problem precision is not influenced, the calculating complexity is reduced greatly, the time delay generated by system overhead is reduced, a Lagrange multiplier method is used in a searching optimization process, the searching optimization speed is fast, a subgradient method is employed in an algorithm iteration process, a progressive step length is employed, and the searching optimization is more accurate. The resource distribution method of the present invention has the advantages of reasonable algorithm design and easy realization.
Description
technical field [0001] The invention belongs to the technical field of wireless communication, and more specifically relates to a resource allocation method in an energy harvesting small cell network. Background technique [0002] Wireless communication has a profound impact on people's daily life and social and economic development, but people's demand for higher-performance communication services has never stopped. The rapid development of the mobile Internet and the Internet of Things will bring about a thousand-fold increase in the fifth-generation mobile communications (5G) traffic. Recent studies by relevant research institutions and organizations have shown that mobile data traffic is doubling every year. In the future, high-speed and diversified service requirements in indoor and hotspot areas will occupy the main part of wireless service data traffic, and the traditional communication technology design principles based on macro base station (Macro Base Station, MBS)...
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