Research On Power Allocation In 5G Ultra-dense Heterogeneous Networks

Nowadays,with the increasing needs for the mobile communications networks,the 5G technology is pushing forward as fast as possible.5G is visualized as heterogeneous networks which provide access to a range of wireless networks such as LTE and Wi-Fi.The 5G heterogeneous networks consist of different tiers,including macro cell,micro cell,femto cell and so on.In ultra-dense heterogeneous networks,the resource allocation schemes are required in different tiers at the same time.The systems not only should allocate the resource in every single cell,but also satisfy the total capacity,power and loads constraints in order to maintain the performance of user equipment.The high transmission rate from different multimedia is explosively increasing during the decade.Meanwhile,the networking resource is facing the big challenge due to the scarcity.Resource management which is the key point to fix the problem becomes the hot topic in mobile communications networks field.The quality of service(QoS)is diversified to different requirements which lead to the huge energy consumption of the systems.In this paper,we focus on the power allocation in ultra-dense heterogeneous networks to minimize the total transmission power and maximize the capacity of systems respectively.We propose the scenario which consists of two types of networks including LTE and Wi-Fi based on the 5G heterogeneous networks standards.The whole paper mainly includes two sections which present different power allocation schemes with different targets in the same scenario.(1)Because of the 5G mobile communications networks aiming at green networking,we propose a power allocation scheme based on minimizing energy consumption.First,we design the scenario and define the parameters.In order to improve the efficiency of networks,we classify the user requirements in different levels.And different types of networks can serve the users to satisfy the specific requirements.The rule is that every user is allowed to select one base station which provides the highest transmission rate.Then,we present the algorithms to figure out how to allocate the subchannels to users and how much power should be given to.Finally,we get the optimal result which shows great performance on minimizing the energy consumption.This scheme is not the joint optimization.We first should get user-base station-subchannel index.And then we work on the power allocation.(2)Increasing the system capacity is always the one of the key targets in communications networks.We propose a power allocation scheme based on improving system capacity.In the same scenario we present before,we change some rules and parameters so as to increase the total user rates.At this time,we allow some users to select two different types of networks,which improves the resource efficiency.This scheme is not the joint optimization too.We use almost the same way to solve base station selection and subchannels allocation.And then,we present a new algorithm to work on the power allocation.Finally,we get the optimal result which shows great performance on maximizing the system capacity.The power allocation schemes we present in this paper are good at performance in their own ways.They optimize energy consumption and system capacity respectively.They have a profound effect on practical significance of 5G mobile communications networks.