Research On Energy Efficient Transmission Scheme For Relay Cooperative Networks Based On Network Coding

As one of the key technologies of the future wireless communications,relay cooperative technologies are widely used to improve network capacity,but the corresponding energy issues are also increasingly prominent.How to improve the energy efficiency of a relay cooperative network becomes a hot topic.By jointly processing multiply data,network coding technology can effectively improve the energy efficiency.However,the existence of network coding noise makes the network coding transmission strategy more complex.Relay deployment environment is so complicated that how to charge the relay leads a widespread discussion.Relay cooperative technology is so widely applied in various scenarios that how to effectively charge the relay,and design efficient data streaming transmission schemes to improve energy efficiency of relay cooperative networks are worthy of further study.This work was supported by National Natural Science Foundation,"Research on network capacity optimization and power saving scheme of multi-hop relay networks based on complex network evolution".This paper focuses on energy efficiency of relay cooperative networks.By analyzing the energy efficiency with different session grouping ways,an energy-efficient session grouping transmission scheme is designed in a single-relay cooperative network scenario.Then,energy harvesting technology is applied in a multi-relay cooperative network.The energy efficiency problem is decomposed into energy allocation problem and energy efficiency optimization problem of session grouping.An energy allocation algorithm in time domain and a joint transmission scheme of relay selection and session grouping are proposed to improve network energy efficiency.Firstly,the research reviews the energy efficiency optimization techniques in relay cooperative network,and analyzing the existing research on energy efficiency optimization.In the single-relay cooperative network scenario,due to the network coding noise with different session grouping schemes,the network throughput and network power are analyzed.The energy efficiency optimization model is established as the ratio of network throughput to network power,and an energy-efficient session grouping transmission scheme is proposed based on discrete quantum particle swarm algorithm.Simulation results show that the proposed scheme can effectively improve network energy efficiency.In a multi-relay cooperative network scenario,energy harvesting technology is introduced to solve the energy supply issue for relay.The energy efficiency problem is analyzed from energy allocation and transmission scheme.Based on directional water-filling algorithm,an energy allocation algorithm in time domain is proposed.According to the allocated energy,a joint transmission scheme of relay selection and session grouping are proposed to improve network energy efficiency.Simulation results show that the proposed algorithm and scheme can effectively enhance the network energy efficiency.