Energy efficiency optimization under joint transmittion power and channel allocation for cellular network
In order to solve problem of low-energy efficiency caused by device-to-device(D2D)interference in hy-brid D2D cellular network,energy efficiency improvement based on joint power control and channel allocation(EEPC)algorithm was proposed to improve the energy efficiency.The optimization problem of maximizing energy efficiency was established with the constraint of ensuring the minimum rate of D2D users and cellular users.By using block coordinate descent method,the optimization problem was transformed into two sub-problems of channel allo-cation and power control,which were solved by Q-learning algorithm,Dinkelbach algorithm and majoriza-tion-minimization(MM)respectively.The greedy search factor in Q-learning algorithm was improved,and a dynamic search factor was used to balance the relationship between exploration and exploitation.Performance analysis shows that the proposed EEPC algorithm improves the energy efficiency of the system.
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