Research On Spectrum Allocation And Energy Control In Heterogeneous Networks

With the rapid development of mobile Internet of Things and the widespread popularization of smart terminals,the future mobile communication network will infiltrate massive connected devices,and the traffic transmitted will also show an exponential growth.As a result,the energy consumption of industries and the operating costs also increase sharply.Under the dual factors of network traffic and power consumption,industry and academia will rethink the design,deployment and management of mobile communication networks.As heterogeneous networks can increase system capacity,lower carbon emission,reduce operating expenses and infrastructure expenses,it has become the new direction of future mobile communications in response to the trend of green sustainable development.Therefore,committed to the heterogeneous network model,improve the system spectrum efficiency and energy efficiency,reduce the system cost and energy consumption of unit bits,build a can provide ubiquitous high-speed data transmission services and more green mobile ecosystem is of great value in research.The research contents of this paper include:(1)In order to improve the available spectrum utilization and promote the integration of different standard radio access networks,the cognitive radio technology is utilized to solve the problem of spectrum allocation in heterogeneous wireless networks.Considering the spectrum requirements of each access network in heterogeneous wireless networks,overlapping coverage interference between access networks and multi-granularity overlapping channel interference corresponding to different access technologies,based on the quantum computing theory and intelligent algorithms,Two new methods of spectrum allocation are single-objective quantum harmony search algorithm with single-stranded coding and multi-objective quantum flower pollination algorithm with double-stranded coding.Compared with classical quantum genetic algorithm,clonal selection algorithm under different objective functions,the proposed algorithm is simple and efficient.(2)In order to cater for the development of green communications in the future,energy-efficient resource allocation techniques in heterogeneous cloud radio access networks with wireless information and power transfer is studied.To maximize energy efficiency as the goal of the system modeling,transmission of information at the same time to complete the energy acquisition,while reducing energy and cost per bit,extending mobile terminal life,to provide users with ubiquitous service and high-speed connections.First,to solve the proposed non-convex optimization problem,the objective function is transformed into an equivalent form according to Dinkelbach's idea of fractional programming.Then the duality problem is given,where the closed-form solution for the optimal power and resource block allocation are derived by Lagrange dual decomposition method in each iteration.The performance of maximizing system energy efficiency and spectrum efficiency is simulated.The proposed algorithm can converge to the optimal value with a small number of iterations,in which minimum required data rate,wireless power transfer,cross-tier interference constraints and practical power consumption model were satisfied.