【摘要】：無線異構(gòu)網(wǎng)絡由于其組網(wǎng)方便,覆蓋全面以及較高的頻譜利用率等眾多優(yōu)勢近年來受到越來越多的關(guān)注,成為5G的關(guān)鍵技術(shù)之一。無線異構(gòu)網(wǎng)絡主要是指在宏基站的覆蓋范圍內(nèi),部署微基站、微微基站、中繼基站等小型基站加強針對性覆蓋,通過縮短用戶與基站間的距離增加用戶接收信號的強度。同時,異構(gòu)網(wǎng)絡采用同頻組網(wǎng)的方式有效緩解頻譜資源稀缺帶來的壓力。然而,在宏基站的覆蓋范圍內(nèi)部署小型基站導致網(wǎng)絡拓撲結(jié)構(gòu)變的更加復雜,宏蜂窩和微蜂窩之間的跨階層小區(qū)間干擾成為了異構(gòu)網(wǎng)絡性能提高的瓶頸。因此對異構(gòu)無線網(wǎng)絡中的干擾進行抑制是目前的研究熱點之一。本文針對無線異構(gòu)網(wǎng)絡中存在的跨階層干擾,提出了幾種在不同網(wǎng)絡模型下的用戶選擇算法,充分利用多用戶分集增益,降低跨層干擾對異構(gòu)網(wǎng)絡性能的影響,提升用戶體驗。首先,針對基站端配置多根收發(fā)天線、用戶單天線接收的無線異構(gòu)網(wǎng)絡中的跨層干擾問題,提出了一種基于分組的用戶選擇算法。該算法保證了用戶在任意分布情況下,基站都可以選出受跨層干擾最小的用戶,獲取用戶的分集增益,降低系統(tǒng)的跨層干擾;其次,針對基站端與用戶端同時配置多根收發(fā)天線情況下的無線異構(gòu)網(wǎng)絡中的跨層干擾問題,提出了綜合考慮信道的方向信息與信道質(zhì)量信息的用戶選擇算法,此部分算法分別以弦距離、弦距離與信道范數(shù)的平衡以及加權(quán)函數(shù)作為衡量指標,并對三種不同指標算法做了詳細分析。最后,針對基站端有限反饋量化誤差和跨層干擾殘留誤差問題,提出了一種基于有限反饋的跨層干擾消除用戶選擇算法,算法將量化誤差對用戶選擇與干擾消除的影響降到最低,有效提升了異構(gòu)網(wǎng)絡的系統(tǒng)性能。仿真結(jié)果表明,本課題所提出的用戶選擇算法能夠在相應系統(tǒng)模型下有效降低異構(gòu)網(wǎng)絡中跨階層干擾,提升系統(tǒng)性能。
[Abstract]:Wireless heterogeneous networks have attracted more and more attention in recent years due to their advantages of convenient networking, comprehensive coverage and high spectral efficiency, and have become one of the key technologies of 5G. Wireless heterogeneous network mainly refers to the deployment of micro-base station, pico-base station, relay base station and other small base stations to strengthen targeted coverage, and increase the intensity of received signals by shortening the distance between users and base stations. At the same time, the heterogeneous networks use the same frequency network to effectively relieve the pressure caused by the scarcity of spectrum resources. However, the deployment of small base stations within the base station coverage makes the topology of the network more complex, and the cross-layer intercellular interference between macro cell and microcellular becomes the bottleneck of improving the performance of heterogeneous networks. Therefore, the suppression of interference in heterogeneous wireless networks is one of the research hotspots. In this paper, several user selection algorithms based on different network models are proposed to reduce the influence of cross-layer interference on heterogeneous network performance and improve user experience by making full use of multi-user diversity gain. Firstly, a packet based user selection algorithm is proposed to solve the cross-layer interference problem in heterogeneous wireless networks with multiple transceiver antennas and single user antennas at the base station. The algorithm ensures that the base station can select the user with the least cross-layer interference under arbitrary distribution, obtain the diversity gain of the user, and reduce the cross-layer interference of the system. Secondly, In order to solve the problem of cross-layer interference in heterogeneous wireless networks with multiple transceiver antennas at the base station and the client side at the same time, a user selection algorithm considering both the channel direction information and the channel quality information is proposed. In this part, the chord distance, the balance between chord distance and channel norm and the weighting function are taken as the measurement indexes, respectively, and three different index algorithms are analyzed in detail. Finally, aiming at the problem of quantization error of finite feedback and residual error of cross-layer interference at base station, a cross-layer interference cancellation user selection algorithm based on finite feedback is proposed. The algorithm minimizes the impact of quantization errors on user selection and interference cancellation, and effectively improves the performance of heterogeneous networks. Simulation results show that the proposed user selection algorithm can effectively reduce cross-class interference in heterogeneous networks and improve system performance under the corresponding system model.
【學位授予單位】：華北電力大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：TN929.5

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