Research On Joint Resource And Interference Management In D2D Underlaying Cellular Networks

Recently,wireless communication technologies have obtained fast development.Device to Device(D2D)communication has received increasingly attention since it has the merits of improving network spectrum efficiency,reducing power consumption and lowering latency.However,the introducing of D2D communication can bring new and sever interference problem for the hybrid D2D and cellular communication networks.If the interference between D2D and cellular communication cannot be managed effectively,the advantages of D2D communication may disappear completely.Since interference is generated by the conflict use of resource between D2D and cellular communication links,joint resource and interference management become the key problem in D2D communication underlaying cellular networks.This dissertation first investigates resource management for hybrid D2D and cellular communication networks and proposes the joint power and resource block allocation algorithm.Then the joint partial interference alignment and power optimization algorithm is proposed to effectively mitigate the interference between D2D and cellular communication links.Further,in order to be more suitable for practical application,a topology based joint partial interference alignment and power optimization algorithm is proposed,which is expected to effectively reduce the feedback overhead with less performance loss.The main results and contributions are listed as below:1.The group-sparse-based joint power and resource block allocation algorithm for hybrid D2D and cellular communication networks is studied.We first introduce the definition of Power Optimization and Resource-block Allocation Vector(PORAV)and finds the PORAVs set has the structure of group sparsity.Based on this,a group sparse based sum rate maximization problem is established,and the joint power and resource block allocation problem is turned into the sparsity of PORAVs set.Moreover,by solving the equivalent group sparse weighted minimum mean square error(WMMSE)problem,the optimal PORAVs set is obtained.The PORAVs can be used as preprocessing vectors,and indicate the allocated resource blocks as well as the transmit power for each selected resource block for D2D transmitters.The proposed algorithm can simultaneously conducting power and resource block allocation for D2D links,and it can be implemented distributedly in practical networks with low complexity.Simulation results show that the proposed algorithm can effectively improve the throughput of the hybrid network.2.The joint partial interference alignment and power optimization algorithm for hybrid D2D and cellular communication networks is studied.In order to effectively mitigate the interference between D2D and cellular communication links,we establish the joint partial interference alignment and power optimization problem.For the relative strong interference,it can be eliminated by partial interference alignment.For the residual weak interference,it can be managed by power optimization.To solve this problem,a three-step scheme is proposed.First,to select relative strong interference,we propose an interference links selection algorithm,which can also guarantee the established partially connected interference network being interference alignment feasible.Then,for the partially connected interference network,a minimum interference leakage based iterative partial interference alignment scheme is designed.At last,a convex approximation based power optimization algorithm is provided to further manage the residual interference.Analysis and simulation results show that the proposed scheme can effectively improve the degree of freedoms and throughput of the D2D communications underlaying cellular networks.3.The topology based joint partial interference alignment and power optimization algorithm for hybrid D2D and cellular communication networks is studied.First,to construct proper network topology,we investigate the network topology structure features for different numbers of alignment sets when each link can obtain the maximum symmetric degree of freedoms.According to the network topology structure features,a topology matrix formation algorithm is proposed,which can design network topology matrix for different numbers of alignment sets and guarantee each link achieves the maximum degree of freedom with maximum number of aligned interference links.Base on the obtained network topology,the topology based interference alignment technique is designed,which can eliminate the interference that has greater influence on achievable rate with less feedback bits.Finally,power optimization can further alleviate the residual interference and improve sum rate.Analysis and simulation results show that the proposed algorithm can effectively reduce feedback bits with limited performance loss.