本文選題：異構(gòu)無線網(wǎng)絡 + 異構(gòu)網(wǎng)絡��； 參考：《西安電子科技大學》2014年博士論文

【摘要】：為了適應不同的通信環(huán)境和不斷增長的用戶業(yè)務需求，無線通信技術(shù)相繼經(jīng)歷了從第一代到第四代的演進，異構(gòu)無線網(wǎng)絡成為無線通信網(wǎng)絡發(fā)展的必然趨勢，其異構(gòu)性體現(xiàn)在：(1)多種接入技術(shù)和接入網(wǎng)共同部署，(2)多層低功率小基站與宏蜂窩基站重疊覆蓋，(3)業(yè)務類型逐漸多樣化，業(yè)務分布隨時間和空間而變化，(4)無線終端隨著認知技術(shù)的發(fā)展而呈現(xiàn)多頻多模的發(fā)展趨勢。然而，支持無線通信的頻譜資源是有限的，傳統(tǒng)的頻譜固定分配方法造成了資源“緊缺”和“浪費”的矛盾現(xiàn)象。因此在當前的異構(gòu)無線網(wǎng)絡環(huán)境下，按業(yè)務分布的變化周期進行頻譜資源動態(tài)分配的研究顯得尤為重要，本文對其中的頻譜分配算法以及與其息息相關的干擾管理和干擾控制進行了系統(tǒng)的研究。具體內(nèi)容如下： 1.研究了基于克隆選擇優(yōu)化的頻譜動態(tài)分配算法。首先，針對不同接入網(wǎng)的基站在重疊覆蓋區(qū)域造成的干擾，基于基站分布拓撲構(gòu)造了干擾圖和基站干擾矩陣。接著，針對不同接入網(wǎng)對應的不同粒度的信道之間的重疊關系，進一步構(gòu)造了信道圖和信道干擾矩陣�；诨靖蓴_矩陣和信道干擾矩陣，以相互干擾的基站不能被分配同頻信道為約束條件，將頻譜分配建模為非線性約束0-1整數(shù)規(guī)劃問題，進而提出了基于克隆選擇優(yōu)化的頻譜分配算法，包括在算法步驟中設計了適用于該問題的抗體編碼方式，并針對干擾約束條件而增加了抗體修正操作。仿真結(jié)果表明，所提算法相比于基于貪婪算法的頻譜分配，增加了網(wǎng)絡頻譜效益，提高了頻譜資源利用率。 2.針對每種接入網(wǎng)由六邊形小區(qū)無縫覆蓋的異構(gòu)無線網(wǎng)絡場景，研究了空域干擾約束下的頻譜動態(tài)分配算法。首先提出基于空域干擾約束的干擾控制模型：對位于小區(qū)內(nèi)某位置的用戶而言，將單一接入網(wǎng)中采用固定頻譜分配時該用戶受到的小區(qū)間干擾設置為該用戶的最大干擾門限，控制頻譜動態(tài)分配過程中該用戶接收到的干擾不超過此最大干擾門限；進一步限制小區(qū)內(nèi)滿足干擾約束的區(qū)域(i.e.用戶的潛在位置)比例達到基站的覆蓋率要求�；诖烁蓴_控制模型，建模并設計兩種啟發(fā)式算法求解頻譜分配優(yōu)化問題，提出了空域干擾約束下的頻譜動態(tài)分配算法。仿真顯示，該算法能在增加網(wǎng)絡頻譜效益的同時，提高基站的頻譜需求滿足率。 3.關注基站位置不規(guī)則分布的異構(gòu)無線網(wǎng)絡場景，提出了確保覆蓋概率的頻譜動態(tài)分配算法。在僅考慮平均路徑損耗的信道條件下，考慮小區(qū)內(nèi)用戶的空間分布及不同業(yè)務的比例，將用戶SINR(signal to interference plus noise ratio)性能巧妙地轉(zhuǎn)化為小區(qū)基站的覆蓋性能，提出基于覆蓋概率的干擾控制模型，從保證基站的覆蓋性能出發(fā)，達到保證小區(qū)內(nèi)任意位置的用戶SINR要求的目的�；诖烁蓴_控制模型，建模頻譜分配優(yōu)化問題，并基于圖著色理論提出確保覆蓋概率的頻譜動態(tài)分配算法。與已有算法相比，所提算法能夠有效控制基站間干擾，在滿足用戶SINR門限要求的前提下，增加頻譜復用，進而提高網(wǎng)絡頻譜效益。 4.研究了陰影衰落信道條件下的確保覆蓋概率的頻譜動態(tài)分配算法。忽略背景熱噪聲，考慮到陰影衰落因子服從對數(shù)正態(tài)分布，首先近似計算了干擾信號強度以及用戶SIR(signal to interference ratio)的概率密度函數(shù)，進而分析在陰影衰落信道條件下確保覆蓋概率的干擾控制模型，并基于此干擾控制模型，建模和求解頻譜分配問題。仿真顯示，該算法能夠增加頻譜復用，提高網(wǎng)絡頻譜效益，，并且在實際信道環(huán)境中能有效控制基站之間的干擾和滿足用戶的SIR要求。 5.在由宏蜂窩和家庭基站組成的雙層異構(gòu)網(wǎng)絡中，將頻譜資源劃分為若干資源塊，研究了基于隊列狀態(tài)的資源塊分配。首先考慮到基站端為每個下行鏈路的用戶業(yè)務設置獨立的有限長隊列緩存，以避免緩沖隊列長度無限增大、保持網(wǎng)絡系統(tǒng)穩(wěn)定為目標，依據(jù)李雅普諾夫穩(wěn)定性理論，建模資源塊分配優(yōu)化問題。接著根據(jù)用戶業(yè)務的緩沖隊列狀態(tài)和基站間干擾關系構(gòu)造加權(quán)干擾圖，在將資源塊分配優(yōu)化問題轉(zhuǎn)化為最大加權(quán)獨立集問題的基礎上，提出基于隊列狀態(tài)的資源塊分配算法。仿真結(jié)果表明，所提算法可以有效匹配資源塊和業(yè)務隊列，保證隊列系統(tǒng)穩(wěn)定，提高系統(tǒng)吞吐量。
[Abstract]:In order to adapt to different communication environment and growing user service requirements , wireless communication technology has experienced the evolution from the first to fourth generations . The heterogeneous wireless networks have become the inevitable trend of the development of wireless communication networks .

1 . The frequency spectrum dynamic allocation algorithm based on clonal selection optimization is studied . Firstly , the interference pattern and the base station interference matrix are constructed on the basis of the base station distribution topology for the interference caused by the base stations in different access networks . Then , the spectrum allocation algorithm based on the base station interference matrix and the channel interference matrix can not be allocated to the non - linear constraint 0 - 1 integer programming problem . The simulation results show that the proposed algorithm increases the spectrum efficiency of the network and improves the utilization rate of the spectrum resources compared with the spectrum allocation based on the greedy algorithm .

2 . Aiming at the heterogeneous wireless network scenario seamlessly covered by hexagonal cells in each access network , the spectrum dynamic allocation algorithm under the constraint of space domain interference is studied . Firstly , an interference control model based on space interference constraint is put forward : for a user located at a certain location in the cell , the inter - cell interference of the user is set to the maximum interference threshold of the user , and the interference received by the user in the dynamic allocation process of the control spectrum does not exceed the maximum interference threshold ;
Based on the interference control model , two heuristic algorithms are modeled and designed to solve the spectrum allocation optimization problem , and a spectrum dynamic allocation algorithm under the constraint of space domain interference is proposed . Simulation shows that the algorithm can improve the spectrum efficiency of the network while increasing the spectrum demand satisfaction rate of the base station .

3 . Aiming at the heterogeneous wireless network scenario of irregular distribution of base station location , a spectrum dynamic allocation algorithm to ensure coverage probability is proposed . Based on the interference control model , the interference control model based on coverage probability is proposed .

4 . The spectrum dynamic allocation algorithm is studied under the condition of shadow fading channel to ensure coverage probability . The probability density function of interference signal intensity and signal to interference ratio is firstly approximate to calculate the probability density function of signal to interference ratio under the condition of shadow fading channel , and then the spectrum allocation problem is modeled and solved under the condition of shadow fading channel . Simulation shows that the algorithm can increase spectrum reuse , improve network spectrum benefit , and can effectively control interference between base stations and meet the SIR requirements of users in real channel environment .

5 . In a double - layer heterogeneous network composed of macro cell and home base station , the spectrum resources are divided into a plurality of resource blocks , and the resource block allocation based on the queue state is studied .

【學位授予單位】：西安電子科技大學
【學位級別】：博士
【學位授予年份】：2014
【分類號】：TN92

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