Relay selection method of energy acquisition based multi-relay cooperative communication system
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A technology of energy harvesting and cooperative communication, applied in diversity/multi-antenna systems, wireless communication, location diversity, etc.
Inactive Publication Date: 2017-01-04
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[0011] Aiming at the problems that the existing cooperative communication system relay selection method does not fully consider the performance improvement brought about by energy harvesting factors, the joint relay selection under the condition of energy causal constraints, and the practical application of low-complexity algorithms, the present invention proposes an energy harvesting The relay selection method of multi-relay cooperative communication system, the joint relay selection under the comprehensive consideration of energy causal constraints, combined with the energy-saving solution brought by energy harvesting technology, assists low-complexity iterative algorithms, and maximizes the network performance between communication users
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Embodiment 1
[0088] The present invention is different from the previous multi-relay selection method, considers multi-relay cooperative communication based on energy collection, and derives the expression of throughput in this scenario, maximizes the throughput performance between communication nodes, and performs the optimal The solution of the optimization problem has practical guiding significance. Specifically, a relay selection method for an energy harvesting multi-relay cooperative communication system, including:
[0089] Step 1: System scenario analysis, problem resolution;
[0090] Step 1.1: Channel model establishment;
[0091] 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, consider a multi-relay cooperative communication scenario based on energy harvesting. In the scenario, there is a signal source Source (ab...
Embodiment 2
[0140] In an actual communication system, sometimes we cannot know the status of all channels in a timely and accurate manner. Even if we want to know the status of all channels in a timely and accurate manner, we have to pay a huge resource cost. In order to change this status quo, further improve the adaptability and robustness of the algorithm, and ensure that the relay selection algorithm of the present invention can be correctly executed even when all the states of the channel cannot be fully obtained. On the basis of Embodiment 1 of the present invention, we have the following improvements. Specifically:
[0141] Said step 2 includes, if the full state of the channel cannot be fully obtained, the objective function of the optimization problem is rewritten as:
[0142] R ¯ ( k ) = E [ 1 N - k + 1 ...
Embodiment 3
[0152] In the second embodiment above, we discussed a situation where the states of all channels cannot be obtained in a timely and accurate manner, and here we further consider a more general situation. If the state of energy collection cannot be known in time and accurately, on the basis of Embodiment 1 of the present invention, we have the following improvement scheme. Specifically:
[0153] The objective function of the optimization problem is rewritten as:
[0154] R ¯ ( k ) = E [ 1 N - k + 1 Σ i = 1 M Σ j = k N R i , j x i , j ...
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Abstract
The invention discloses a relay selection method of an energy acquisition based multi-relay cooperative communication system, and belongs to the technical field of cooperative communication. The relay selection method comprises steps of analyzing a system scene and summarizing problems; establishing a system mathematical model; and using an optimization method to solve an optimal solution. The relay selection method provided by the invention is practically applied in special application scenes, so compared with previous multi-relay selection methods, the relay selection method is characterized in that multi-relay cooperative communication based on energy acquisition is taken into consideration, and an expression of the throughput capacity is deduced, so the throughput capacity performance among communication nodes is maximized, solving of optimization problems is performed and the relay selection method has practical guidance meanings. Aiming at the solving of the optimization problem, convex optimization processing is adopted and a target function of an optimization problem is converted without approximate calculation, so precision of the problem is not affected, calculation complexity is greatly reduced, and time delays generated by expense of the system are reduced. During an optimization process, a lagrangian multiplier method is adopted, so optimization speed is fast. A subgradient method is adopted in an algorithm iteration process, and gradual step lengths are selected, so optimization is more accurate.
Description
technical field [0001] The invention belongs to the technical field of cooperative communication, and more specifically relates to a relay selection method of an energy harvesting multi-relay cooperative communication system. Background technique [0002] In 1979, Cover and Gamal mentioned the cooperative communication model for the first time in their research on relay channels. They studied the channel capacity of the AWFN relay communication network model composed of active, relay and destination nodes. All the nodes work in the same frequency band, thus dividing the system into a broadcast channel and a multiple access channel. Then the research on cooperative communication is basically based on this. Compared with direct communication, cooperative communication can provide space diversity gain and realize high-speed and high-reliability data transmission for target users. A key issue in cooperative communication is how to allocate and manage relay nodes. Although a si...
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