Filtered orthogonal frequency-division multiplexing (F-OFDM) is a new technology for next generation mobile communication system.F-OFDM can maintain the advantages such as strong anti-interference ability in OFDM system,and is adaptive for different flexible service configuration in the future.However,it’s more sensitive to phase noise than OFDM,which will cause sub-band common phase error (SCPE) and sub-band inter-carrier interference (SICI),thus seriously decreasing the performance of the system.This paper proposed a self-adaptive EM phase noise suppression algorithm (AEM-PNS) to reduce the phase noise in F-OFDM.It includes two sub-algorithms:EM-SCPE and EM-SICI.AEM-PNS can choose suitable phase noise suppression sub-algorithm automatically according to the inserted phase noise instruction symbol (PNIS) and pilot instruction symbol (PIS) in symbol frame.Simulation results show that the proposed algorithm can track phase noise adaptively,reduce the influence caused by phase noise effectively,and keep low complexity and high spectral efficiency simultaneously.

The reduction of network energy consumption and the building of green network have become key scientific problems in academic and industrial research.All the existing energy efficiency schemes carry out researches on the premise of knowing the traffic matrix,but it’s not easy to get real-time traffic data.Therefore,this paper studied how to reduce the network energy consumption without knowing real-time traffic matrix,and presented an intra-domain energy efficiency routing scheme based on network entropy.This scheme achieves energy efficiency by turning off the links in network.Firstly,the link criticality model and the network entropy model are proposed.Then,the importance of all links in the network is calculated according to the link criticality.Finally,the links in the network are turned off in turn according to the importance of link and the network entropy model.The experimental results show that the proposed algorithm does not introduce larger path stretch when reducing the energy consumption of network.

Through studying the effect of a variety of context information on the mobility patterns in mobile social networks,this paper proposed a multidimensional context matching forwarding (MCMF) algorithm.In this novel algorithm,three dimension contexts,which are physical adjacency,social similarity and social interactivity,are used to make routing decisions dynamically.Firstly,message carrier obtains its neighbor node sets by using physical adjacency matching at the present moment.Then social similarity matching is used to search relay candidate subset of neighbor node sets,and the discrete-time semi-Markov prediction model is used to determine the best relay node.At last,the efficient data forwarding algorithm is designed.Simulation experiments based on real traces show that the proposed MCMF algorithm is more efficient in terms of maximizing the delivery ratio and minimizing the overhead ratio than other three state-of-the-art algorithms.

Wireless vehicle network (WVN) has important research and application value.At present,there are few researches on network coding TCP protocol in wireless vehicle network.At the same time,cross-layer optimization has not beenpaid attention seriously.This paper first addressed different causes of packet loss in wireless vehicle networks,and gave a cross-layer joint optimization method VC-TPC／NC based on stochastic linear network coding.Aiming at different reasons for packet loss,different treatment were given.Further,the sending strategy of network coding layer sender was redesigned,and theadvantages of VC-TCP／NC in the delay and network throughput were illustrated through theoretical analysis.Finally,simulation results in different scenarios show thatthe performance of VC-TCP／NC is greatly improved compared to the performance of traditional TCP and TCP／NC.