Research On Wireless Channel Resource Allocation Mechanism Based On Grab-money Game

With the development of modern technology, more and more wireless communication technologiesand devices have been carried out. Although wireless channel resources possess the characteristics offiniteness, renewability, vulnerability, the original channel resources became scarce along with a growingnumber of wireless communication users, thus leading to an increase in the cost of wireless communicationwhich includes the increase of transmission delay time and transmission energy consumption of wirelessmessage. It has become an important research field that how to efficient allocate the wireless channelresources. In this paper, we mainly emulated and analyzed the allocation of he wireless channel resourcesby using the strategy of grab-the-dollar game. The main contents of this paper are as follows:Firstly, we introduced and analyzed the characteristics of the wireless channel and the correspondingwireless network. And then we introduced the current achievements in details in the field of allocation ofwireless channel resources combination by combination of their characteristics. These contents includespectrum sharing mechanism, private resource allocation scheme, priority auction mechanism as well ascompetitive multi-user MIMO system and so on. Our focus was to introduce the application ofgrab-the-dollar game in the allocation of resources. Because the grab-the-dollar game itself is proposed asan intelligent resources allocation scheme, it will be very appropriate by applying to the study of wirelesschannel resources allocation.Secondly, grab-the-dollar game is a kind of realization way of sequential game, and application it towireless channel resources allocation scheme is the focus of this study. We emulated and analyzed the sceneof the two wireless users using one wireless channel. We mainly analyzed the influence of differentoccupancy values on the gain of wireless system and the utilization of wireless channel. Our emulation results demonstrated that the system entered a relatively stable state with the increase of occupancy valuesof users. The stable state was a lose-lose result, because the channel utilization of two users was adjacentzero. Only when the probability value was small, would the wireless channel be random used by two users.Finally, we emulated and analyzed the scene of multiple users sharing multiple channels based on thecompetition between two users. We analyzed the probability value from1,1/3,1/4,1/5,1/6to1/10,1/20,1/30,1/50,1/100and so on, and we further emulated and analyzed the scene of the probability value1/4.256in details. In a multi-user multi-channel scenario, the overall gain of the system showed anincreasing phenomenon with the reduction of the probability value. This indicated that the frequency ofcooperation between groups of "modest" wireless communication users could exceed groups of competitiveusers. It was more obvious increase in the system. Our results indicated that grab-the-dollar game couldeffectively improve the utilization of the wireless channel.