Research On Resource Allocation Algorithm In Ultra-dense Network

With the continuous development of mobile communications and the emergence of various intelligent terminals,mobile data traffic is exploding as a flood.As one of the 5G important technologies,the Ultra Dense Network(UDN)will bring a series of problems with the high-density deployment of transmission nodes,the small coverage area of small cells,and the serious overlapping of coverage areas.Therefore,when network access points(APs)are densely deployed and spectrum resources are scarce,how to effectively allocate resources to APs will be an important issue.With the dense deployment of a large number of small cells,the power consumption brought by these small cell base stations has become a problem that cannot be ignored in ultra-dense networks.In view of the above mentioned problems,the main purpose of this topic is to allocate resources to users in ultra-dense networks.This study effectively completes resource allocation under the premise of ensuring user communication performance,and performs cell sleep on this basis.Research to reduce the energy consumption of the system.The main work of this thesis can be summed up as follows:1.Aiming at the resource allocation of ultra-dense networks(Macrocell,Femtocells),an interference factor-based resource allocation algorithm in ultra-dense networks is proposed.Firstly,according to the interference situation in the ultra-dense network,a coloring clustering algorithm based on the interference factor is proposed.Then,the macrocell and the femtocell are allocated to each cluster,and the subchannels are allocated to each cluster by the priority of the cluster,and then The interference factor of the user and subchannel in the cluster is used to determine the order of user resource allocation,thereby completing the allocation of subchannels within the cluster.Under the premise of ensuring the system capacity,the power allocation of the system is completed by mathematical transformation using convex optimization.Through simulation verification,system throughput,spectrum efficiency and other performance are improved.When the number of users in the unit femtocell is 4,the throughput of the system is increased by 18% compared with the similar comparison algorithm,and the call drop rate is reduced by 10%.2.Green communication is one of the 5G goals.Therefore,this thesis studies the cell dormancy in ultra-dense networks,analyzes the characteristics and laws of low-speed users(pedestrians),and combines the mobility of users' current cycles to estimate the next cycle.The femtocell load situation can further accurately set the state of the small cell in the next cycle(sleep,work).For load users that are lower or higher than the normal working of the cell,they are offloaded to the macrocell.Through simulation comparison,compared with the network without cell sleep,the proposed cell sleep strategy can reduce the system energy consumption while ensuring the user communication quality.