Scheduling method applied to heterogeneous network enhancement mode interference coordination and optimization method thereof

Abstract

The invention discloses a scheduling method applied to heterogeneous network enhancement mode interference coordination and an optimization method thereof. The scheduling method comprises the steps of adjusting an area expansion and throughput target of a micro-base station through a [eta] parameter; and introducing an expansion factor [zeta]m,tn of a user to improve a proportional fairness scheduling algorithm during an approximate blank sub-frame period. Therefore, the proportional fairness scheduling algorithm in which the area expansion and throughput target of the micro-base station is adjusted through the [eta] parameter is proposed; a problem of distinguishing a central trap, which the proportional fairness scheduling algorithm faces, can be avoided through the improved proportional fairness scheduling algorithm; and a capacity and load balance optimization method is provided based on the algorithm. The result shows that the algorithm can increase resource utilization rate of base stations and can realize load balance among the base stations.

Description

technical field [0001] The invention relates to the field of wireless mobile communication, in particular to a scheduling method and an optimization method applied in heterogeneous network enhanced interference coordination. Background technique [0002] The traditional ICIC (Intercell Interference Coordination, interference coordination) scheme can no longer solve the interference in the LTE-A heterogeneous network interference scenario, so Rel-10 mainly coordinates the interference between the macro base station and the low-power node in the heterogeneous network, and proposes Enhanced inter-cell interference coordination. Enhanced interference coordination focuses on two techniques of cell area expansion and approximate blank subframe. The expansion of the cell area expands the coverage of the PeNB (PicoeNodeB, micro base station), offloads the users of the macro base station to the Pico node, and balances the load of the system; and the approximate blank subframe does n...

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Problems solved by technology

Generally, the signal-to-noise ratio (SNR) obtained by the user at the approximate blank subframe time is much higher than that obtained at the normal subframe time, and the edge users in the central area are only scheduled on the normal subframe. The signal-to-noise ratio is very small, and the rate obtained by users at the edge of the central area is very low, especially proportional fair scheduling, so that its QoS (Quality of Service, service quality) requirements cannot be guaranteed, while the rate obtained by users in adjacent extended areas However, it is very high, which leads to the "starvation" phenomenon of central users, which is called "central trap". In this case, it is necessary to propose a corresponding scheduling algorithm for this specific situation

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