Interference Management In Smart Home Networks

With the rapid development of information technology,such as radio,TV,computer,smart phones and smart appliances,each kind of the emergence of new things bring us comfort and convenience.Smart home network has become a new direction of the development of the household.With the progress of information technology,a variety of household devices which are connected to each other through the network has come true.Wireless network communication become an integral part of the Smart Home.Because the wireless channel access environment is a shared medium,parallel transmission link will disturb each other and cause the transmission quality of the link deeply reduced or failed,which leads to deteriorating the performance of the network.Serious interference will make the communication process frequently interrupted,which is an enormous waste of energy and spectrum resources.Therefore,the effective interference management and efficient transmission strategy is of great significance for the future development of Smart Home wireless technology.In this thesis,first of all,we need design appropriate interference management scheme for multi-user MIMO interference channel of the Smart Home network.Interference alignment is an interference management which can greatly improve the system capacity.In this paper,we study several interference alignment algorithms by comparing their performance of sum rate,convergence and complexity.From the simulation analysis,we can coclude that the performance of Max-SLNR algorithm is more balance than others.Then we study the interference of relay network of Smart Home.Relay coordination strategy can provide multiple communication link,which help to curb the loss of performance due to fading.According to the different ways of information processing in relay,we study the performance of the amplify-forward and decode-forward scheme.The simulation results show that when the quality of source to relay channel is higher,the decode-forward algorithm has better performance.Finally based on the half-duplex relay network,we study a quantize-map-forward scheme.In this scheme,the relay will quantize the observed signal,and let the quantized bits randomly map to the Gaussian random codewords.Then,the destination node will receive the signal from the source and side information from the relay which can be jointly decoded.The joint decoding procedure at the destination is formulated as a belief propagation algorithm over a factor graph.This graph contains the original channel code(LDPC)and relay mapping functions(LDGM)as subgraphs connected via probabilistic constraints that model the QMF relay operation.Through comparison,quantize-mapforward cooperative scheme can achieve better performance.