A Dynamic Spectrum Allocation Method Based on Matching Theory in Heterogeneous Networks

Abstract

The invention relates to a dynamic frequency spectrum allocation scheme applied in a heterogeneous network, which maximizes the utility of the system under the condition of meeting user requirements through multi-scale adjustment and allocation to user frequency spectrum resources. Through the study of matching theory and feedback mechanism, an effective multi-scale dynamic spectrum allocation scheme is proposed. The multi-scale DSA scheme proposed by the present invention is mainly divided into two steps. In the first stage, a pricing-based matching theory is proposed to rationally allocate spectrum resources in a cell. By calculating each user's preference value for resource blocks, and sorting to form a preference list, iteratively execute the process of proposing preference targets and increasing matching costs to obtain stable matching. In the second stage, the difference between the actual average transmission rate and the ideal transmission rate obtained by users in each cell is fed back to the large base station, so as to iteratively adjust the spectrum bandwidth allocated to each cell and improve resource utilization.

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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