Cellular cell wireless network source distribution method with automatic energy acquisition base stations

Abstract

The invention discloses a cellular cell wireless network source distribution method with automatic energy acquisition base stations. The method comprises the following steps: setting that two base stations are BS1 and BS2 and that K users are within the coverage of the two base stations, and respectively generating base station selection sets beta 1= {eta 1, eta2, ... , eta K} and beta 2= {1-eta 1, 1-eta2, ... , 1-eta K} for the two base stations; comparing the signal gains from the corresponding BS1 and BS2 to the K users, wherein if G1,k is greater than G2,k, eta K is equal to 1, otherwise eta K is equal to 0, and generating the selection sets beta 1 and beta 2 of all users; determining the user selection sets beta 1 and beta 2 as final selection; and repeating step S1 until the user selection sets beta 1 and beta 2 are determined; and finding out the optimal energy source and spectrum allocation by matching the generalized Stackelberggame method. Compared with the prior art, resource allocation and network optimization are carried out on the cellular cell property having the automatic energy acquisition base stations, the energy source of the cellular cell network is used reasonably and effectively, and the user experience is optimized.

Description

technical field [0001] The invention relates to a wireless communication cellular network optimization and resource management technology, in particular to a cellular cell wireless network resource allocation method with an automatic energy acquisition base station. Background technique [0002] In places with abundant green renewable energy resources such as solar and wind energy, base stations with automatic energy harvesting are gradually and increasingly deployed. For example, in Tibet, China, the world's largest solar base station group has been established by China Mobile in Tibet. Therefore, it is necessary to perform resource allocation and network optimization according to the characteristics of the cellular network with automatic energy harvesting base stations, to use the energy of the cellular network reasonably and efficiently, and to optimize the user experience. [0003] The paper "Autonomous Energy Harvesting Base Stations with Minimum Storage Requirements" ...

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Problems solved by technology

[0004] However, the above papers and existing technologies only perform resource allocation in the case of one base station, and do not consider the resource allocation in the case of adjacent base station edge users

For adjacent base stations, there are signal overlapping coverage areas between adjacent base stations, so there are edge users, and it is uncertain which base station the edge user chooses to allocate resources, and how the edge user chooses the base station will affect the association The user's utility function and base station revenue, so it is not appropriate to use only one base station for resource allocation

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