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Multi-cell interference on the downlink MIMO communication system modeling and collaborative scheduling

Author: HuangKun
Tutor: GeXiaoHu
School: Huazhong University of Science and Technology
Course: Communication and Information System
Keywords: Multiple Input Multiple Output Interference modeling Capacity Outage probability Block error rate Collaborative Scheduling Wireless simulation platform
CLC: TN929.5
Type: Master's thesis
Year: 2011
Downloads: 59
Quote: 0
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Multiple-input multiple-output (MIMO) as B3G/LTE core technology in the physical layer , one of the point to point transmission link can effectively enhance the throughput and reduce the link error rate ; However, in a multi-cell multi-user wireless cellular network environment , MIMO systems interference limited inherent characteristics make the cell edge user QoS, transmission rate drastically reduced system performance , which is no doubt true MIMO technology in the commercialization of the system made ​​more severe challenges. In response to the urgent need to solve the difficulties, it is necessary for multi-cell MIMO scenarios terminal receives the superposition of interference modeling and seek multi-cell interference suppression strategy . On the other hand , it is necessary to transmit the multi- base station cooperative and collaborative scheduling algorithm research , seeking to extract multi-user diversity gain in transmission strategy . In this paper, co-channel interference station satisfies Poisson spatial distribution characteristics, signal through Generalized-K fading scenarios for MIMO multi-cell wireless cellular network terminal receives the interference of any cumulative power of the analysis and modeling of interference characteristics deduced function and the probability density function (PDF) of the closing ceremony. According to the above given scenario of interference model deduced cooperative transmission strategy point link MISO average capacity closed analytic , analytic closed outage probability , the average block error rate numeric expression ; Finally, an GPCUS (Greedy and Projection based Cooperative User Selection) multi-cell MISO cooperative scheduling algorithm. The algorithm for the selected user space orthogonal complement space , treat selected user channel vector fill space in the above projection , select the projection norm largest user of temporary election users, and greedy thinking on temporary display for final users select ruling. In addition, based on the above algorithm framework , developed a set of measurable performance indicators of cell clusters wireless simulation platform software . Platform Simulation results show that , GPCUS algorithm is more comprehensive consideration of the user channel conditions , the cell cluster via cooperative base stations completely , remove the cell cluster of co-channel interference , and traditional non-cooperative transmission , compared with a large performance gain .

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