A dynamic spectrum allocation scheme based on a matching theory in a heterogeneous network

Abstract

The invention relates to a dynamic spectrum allocation scheme applied to a heterogeneous network, which is allocated to user spectrum resources through multi-scale adjustment, and maximizes the effectiveness of a system under the condition of meeting the requirements of users. based on research on a matching theory and a feedback mechanism, an effective multi-scale dynamic spectrum allocation scheme is provided. The multi-scale DSA scheme provided by the invention is mainly divided into two steps, in the first stage, a pricing-based matching theory is provided, and spectrum resources in a cellare reasonably distributed. A preference value of each user for a resource block is calculated and sequenced to form a preference list, and the process of proposing a preferred item target and improving the matching cost is iteratively executed, so that stable matching is obtained. In the second stage, the difference between the average transmission rate and the ideal transmission rate actually obtained by each cell user is fed back to the large base station, so that the spectrum bandwidth allocated to each cell is adjusted iteratively, and the utilization rate of resources is improved.

Description

technical field [0001] The invention belongs to the field of wireless communication, and specifically relates to a dynamic spectrum allocation scheme applied in a heterogeneous network, which reflects the allocation of spectrum resources to a large base station through each cell, and the large base station readjusts the allocated spectrum resources. First, the matching theory is used to solve the allocation problem of spectrum resources and user needs in the cell, and then the large base station adjusts the spectrum resources allocated to each cell to effectively improve resource utilization efficiency under the condition of meeting user needs. Background technique: [0002] With the development of mobile Internet and the emergence of multimedia applications, the demand for traffic will continue to grow, and wireless service providers are experiencing severe spectrum shortage. The widening gap between rapidly growing data traffic demands and limited spectrum resources is for...

AI Technical Summary

Problems solved by technology

Without proper incentives, some SUs may cheat on their spectrum needs by providing misleading information in order to obtain a larger spectrum resource, thereby starving other honest SUs of spectrum

Another dilemma faced in interference management is the well-known Prisoner’s Dilemma, that is, selfish SUs choose to increase transmission power in order to obtain higher transmission rates, leading to an increase in the cumulative interference level of the entire network, thereby reducing the maximum Achievable rate

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