本文選題：異構(gòu)網(wǎng)絡 + 跨層干擾　； 參考：《哈爾濱工程大學學報》2017年05期

【摘要】：針對在無線異構(gòu)網(wǎng)絡中,跨階層干擾影響其性能提升的瓶頸問題,本文提出了一種基于分組的用戶選擇算法。該算法在宏基站選定基準用戶之前,先將微小區(qū)內(nèi)用戶所受干擾信號信道向量的方向信息作為基準,利用分組向量將所受干擾信號信道向量方向相近的用戶分為一組,完成用戶分組;再從各組中分別進行用戶選擇,使被選用戶所受跨層干擾信號信道向量的方向相近,最后確定使系統(tǒng)性能最好的一組用戶作為服務用戶。復雜度分析和系統(tǒng)仿真比較表明,相比已有算法,算法在犧牲有限復雜度的同時,有效提升了系統(tǒng)性能,在復雜度與系統(tǒng)性能間取得了很好的折中,適用于用戶分布不均勻的場景。
[Abstract]:A packet based user selection algorithm is proposed to solve the bottleneck problem that cross-class interference affects performance improvement in wireless heterogeneous networks. Before the base station selects the reference user, the direction information of the interference signal channel vector of the user in the microcell is used as the benchmark, and the users with the same direction of the interference signal channel vector are divided into a group by using the packet vector. Then the users are selected from each group to make the cross-layer interference signal channel vector of the selected user close to each other. Finally, the group of users who make the best performance of the system is determined as the service user. Compared with the existing algorithms, the complexity analysis and system simulation show that the proposed algorithm can improve the system performance at the same time of sacrificing the finite complexity, and achieves a good compromise between the complexity and the system performance. It is suitable for the scene where the user is not evenly distributed.
【作者單位】： 華北電力大學電氣與電子工程學院;
【基金】：國家自然科學基金項目(61601182,61302106) 河北省自然科學基金項目(F2017502059,F2014502029) 中央高�；究蒲袠I(yè)務費專項資金項目(2016MS98)
【分類號】：TN929.5

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