A scheduling algorithm for price-aware users based on multi-slope online games

Abstract

The invention discloses a scheduling algorithm for a price perceived user based on a multi-slope online game. The scheduling algorithm comprises the following steps: firstly, setting the initial base station distribution, and a macro base station is located at the center of a cellular network; at the initial stage of a period T, randomly distributing user equipment in the cellular network and connecting the user equipment to the nearest base station; transmitting energy storage information of a storage battery of the base station, energy consumption information of a base station connected to a user and transmission rate information of the connected base station to a central controller; controlling the base station connection by the central controller according to a transfer probability function P (t) of the user, and performing the switch scheduling of the base station based on the connection situation of the user equipment; and repeating the above steps, and continuously performing user connection scheduling and base station switch scheduling through an online game algorithm based on multi-slope. The scheduling algorithm for the price perceived user based on the multi-slope online game provided by the invention can judge the connection of the user equipment online when the energy arrival situation is unknown through the online game of the cost of the base station connected to the user equipment, and can perform the switch scheduling of the base station through the connection situation of the user.

Description

technical field [0001] The invention relates to a scheduling algorithm for price-aware users based on multi-slope online game in a heterogeneous cellular network. Background technique [0002] In recent years, with the rapid growth of mobile network data volume, the processing power and energy consumption of mobile terminals have been greatly tested. The application of switch control technology enables the base station to turn off the base station when it is idle, thus greatly reducing the energy consumption of the base station. Most of the existing literature proposes switch scheduling strategies for two-layer cellular networks, but for the scenario of multi-layer cellular networks, it does not propose to use the idea of ​​online game to solve the switch scheduling problem of base stations. For price-aware users, through the price game generated by connecting base stations, the switch scheduling of base stations can be flexibly performed, thereby reducing energy consumptio...

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Problems solved by technology

[0004] Another search found that Tao Han et al. published a paper titled "Green-energy aware and latency aware user associations in heterogeneous cellular networks" on "IEEE Global Communications Conference (GLOBECOM), pp.4946-4951, 2013", which proposed that the In the green energy network, the user connection strategy minimizes the average transmission delay and maximizes the use of green energy, but does not consider the uncertainty of the arrival of green energy

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