Pricing and distributing method for wireless network bandwidth

Abstract

The invention discloses a pricing and distributing method for wireless network bandwidth. The pricing method comprises the following steps that SA1, a wireless access point issues the unit bandwidth price of this round to a user to access the network; SA2, the wireless access point receives a bandwidth requirement of the user to access the network for the unit bandwidth price of the round; SA3, the wireless access point calculates and determines the unit bandwidth price of the next round according to the unit bandwidth price and bandwidth requirement of the round and the unit bandwidth price and bandwidth requirement of the previous round; SA4, when the difference between the unit bandwidth price of the next round and the unit bandwidth price of the current round is smaller than a preset threshold value, the unit bandwidth price of the current round is taken as the price of the wireless access point, and the bandwidth requirement of the current round is taken as the request bandwidth of the user to access the network; otherwise, skipping to the step SA1 to enter the next round of inquiry. The method has the advantages of wider applicability, higher efficiency, high two-way earningsof the network access point and the user and the like.

Description

technical field [0001] The invention relates to the technical field of wireless networks, in particular to a method for pricing and allocating wireless network bandwidth. Background technique [0002] The rapid growth of mobile data services has brought great challenges to existing cellular networks. In order to expand network capacity and reduce network deployment costs, a wireless community network (Wi-Fi Crowdsourcing Network, WCN) emerges as the times require. The existing private Wi-Fi access point (Access Point, AP) of the WCN organization provides network services to paid users. Among them, effective pricing and bandwidth allocation methods can not only improve the operational utility of WCN, but also provide better Internet services to users. [0003] The WCN model diagram is as follows figure 1 As shown, WCN achieves high network coverage with low construction cost by organizing existing Wi-Fi hotspots (including public Wi-Fi business hotspots and individual priv...

AI Technical Summary

Problems solved by technology

In this case, WCN can only reduce the calculation delay by reducing the accuracy of the algorithm and sacrificing utility.

[0007] 2. The existing technology only studies the scenario where there is no overlapping coverage area between Wi-Fi APs, and does not consider the pricing and resource allocation issues in the scenario where coverage areas overlap between multiple APs

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