TD-SCDMA系統(tǒng)中動態(tài)信道分配技術(shù)
發(fā)布時間:2018-04-27 17:27
本文選題:TD-SCDMA系統(tǒng) + 遺傳算法 ; 參考:《西安電子科技大學(xué)》2013年碩士論文
【摘要】:隨著移動通信技術(shù)的迅速發(fā)展,第三代移動通信系統(tǒng)已全面步入商用。TD-SCDMA移動通信系統(tǒng)作為我國第一個擁有自主知識產(chǎn)權(quán)的國際電信標(biāo)準(zhǔn),在我國已經(jīng)進(jìn)入大規(guī)模應(yīng)用階段。TD-SCDMA采用的TDD工作模式,適合動態(tài)信道分配(Dynamic Channel Allocation,DCA)技術(shù)的實施。優(yōu)秀的DCA算法可以充分發(fā)揮TD-SCDMA系統(tǒng)資源分配靈活的特點,使系統(tǒng)獲得最佳的資源利用率,從而提高系統(tǒng)的容量。 本文在國內(nèi)外DCA算法研究基礎(chǔ)上,首先提出了一種適用于TD-SCDMA系統(tǒng)的慢速動態(tài)信道分配算法。該算法把分布式遺傳算法(Distributed GeneticAlgorithm,DGA)應(yīng)用到TD-SCDMA中的上下行時隙分配中,利用遺傳算法高效的全局搜索能力,綜合考慮一個無線網(wǎng)絡(luò)管理器(Radio Network Controller,RNC)中的所有小區(qū)。算法首先把上下行時隙的分配比例作為基因的編碼,一個RNC中的小區(qū)數(shù)作為染色體長度,然后把初始種群劃分為四個子種群,每個子種群采用不同的交叉變異概率,同時各個子種群根據(jù)自身功能,選擇相似程度不同的兩個個體進(jìn)行交叉操作,以充分發(fā)揮各個子種群的探索和利用功能。仿真表明,該算法可以更好的保持種群多樣性,提高了TD-SCDMA系統(tǒng)的容量。 其次,本文在基于“年齡”選擇機(jī)制的分布式遺傳算法基礎(chǔ)上,改進(jìn)了遷移個體的選擇策略,,并把改進(jìn)后的算法應(yīng)用到TD-SCDMA系統(tǒng)的快速信道分配中。算法的主要思想是根據(jù)各個時隙的負(fù)載狀況確定需要進(jìn)行時隙切換的用戶,利用分布式遺傳算法快速、高效的計算能力為需要進(jìn)行時隙切換的用戶和新接入的用戶分配時隙,使各個時隙負(fù)載均衡,從而增加系統(tǒng)容量。
[Abstract]:With the rapid development of mobile communication technology, the third generation mobile communication system has entered the commercial. TD-SCDMA mobile communication system as the first international telecommunication standard with independent intellectual property rights. In China, the TDD mode adopted by TD-SCDMA has entered the stage of large-scale application, which is suitable for the implementation of dynamic Channel allocation (DCA) technology for dynamic channel allocation. Excellent DCA algorithm can give full play to the characteristics of flexible resource allocation in TD-SCDMA system, make the system obtain the best resource utilization, and improve the system capacity. Based on the research of DCA algorithm at home and abroad, a slow dynamic channel assignment algorithm for TD-SCDMA systems is proposed in this paper. This algorithm applies distributed genetic algorithm (DGA) to the uplink and downlink slot allocation in TD-SCDMA, and takes advantage of the efficient global search ability of genetic algorithm to consider all the cells in a wireless network manager, Radio Network Controller (RNCs). The algorithm first takes the allocation ratio of up-down time slot as gene coding, the number of cells in a RNC as chromosome length, and then divides the initial population into four sub-populations, each of which uses different crossover mutation probability. At the same time, according to their own functions, each sub-population selects two individuals with different similarity to carry out cross-operation, in order to give full play to the exploration and utilization function of each sub-population. Simulation results show that the algorithm can better maintain population diversity and improve the capacity of TD-SCDMA system. Secondly, on the basis of distributed genetic algorithm based on "age" selection mechanism, this paper improves the selection strategy of migrating individuals, and applies the improved algorithm to the fast channel allocation of TD-SCDMA system. The main idea of the algorithm is to determine the users who need slot switching according to the load condition of each slot, and to allocate time slots to users who need slot switching and new access users by using distributed genetic algorithm fast and efficient computing power. Load balance between time slots, thereby increasing system capacity.
【學(xué)位授予單位】:西安電子科技大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2013
【分類號】:TN929.5
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