本文選題：資源分配 + 吞吐量　； 參考：《北京郵電大學(xué)》2014年博士論文

【摘要】：隨著無(wú)線通信技術(shù)的迅猛發(fā)展,移動(dòng)用戶數(shù)日益增多,服務(wù)質(zhì)量要求越來(lái)越高,無(wú)線資源很難滿足用戶的通信需求。為了提高資源利用率,無(wú)線廣播/多播技術(shù)(BMS)使用相同的時(shí)頻資源給多個(gè)用戶傳輸相同的業(yè)務(wù),成為下一代移動(dòng)蜂窩網(wǎng)絡(luò)(IMT-Advanced)標(biāo)準(zhǔn)中的一項(xiàng)關(guān)鍵技術(shù)。為了改善現(xiàn)有資源分配算法中存在的問(wèn)題,進(jìn)一步增強(qiáng)多播傳輸?shù)男阅?本論文從增大多播系統(tǒng)吞吐量、保證多播用戶間公平性、減小多播系統(tǒng)反饋量和實(shí)現(xiàn)多播傳輸時(shí)間與能量消耗均衡四個(gè)目標(biāo)展開(kāi),研究了不同準(zhǔn)則下多播系統(tǒng)的用戶調(diào)度、用戶間的子載波分配、功率分配和比特加載算法,主要研究?jī)?nèi)容如下： (1)研究了基于吞吐量最大化的機(jī)會(huì)多播調(diào)度問(wèn)題,提出了一種基于自適應(yīng)用戶選擇的多播調(diào)度方案。首先,闡述了機(jī)會(huì)多播調(diào)度原理；其次,建立了系統(tǒng)吞吐量矩陣,并用該矩陣模擬了機(jī)會(huì)多播調(diào)度過(guò)程；再次,根據(jù)用戶的信道概率分布函數(shù),推導(dǎo)了系統(tǒng)吞吐量矩陣中每個(gè)元素的值；最后,為了減低全搜索解法的運(yùn)算復(fù)雜度,提出了一種次優(yōu)化的啟發(fā)式搜索方法；仿真結(jié)果顯示,所提的自適應(yīng)用戶選擇方案可以顯著地提高系統(tǒng)的吞吐量。 (2)研究了保證用戶間公平性的多播資源分配問(wèn)題,提出了一種基于子載波協(xié)作和用戶分組的多播資源分配算法。目標(biāo)是在保證用戶間完全公平的基礎(chǔ)上最大化系統(tǒng)吞吐量。建立了多播系統(tǒng)中功率和帶寬受限條件下的最優(yōu)化函數(shù)。為了降低最優(yōu)化算法的運(yùn)算復(fù)雜度,提出了一種兩階段的次優(yōu)化算法。在第一階段,闡述了子載波協(xié)作方案,根據(jù)該方案設(shè)計(jì)了子載波協(xié)作及用戶分組傳輸算法來(lái)增大多播系統(tǒng)傳輸效率,為了進(jìn)一步降低運(yùn)算復(fù)雜度,又提出了簡(jiǎn)化算法；在第二階段,利用注水算法在子載波間進(jìn)行了功率調(diào)整,進(jìn)一步增大系統(tǒng)容量。仿真結(jié)果顯示,所提算法不但能夠保證用戶接受完全相同質(zhì)量的服務(wù),而且具有較好的吞吐量性能。 (3)研究了較少反饋下的多播資源分配問(wèn)題,針對(duì)用戶信道概率分布函數(shù)未知與已知兩種場(chǎng)景,分別提出了基于機(jī)會(huì)反饋的多播資源分配算法和基于編碼的無(wú)反饋多播資源分配算法。 在基于機(jī)會(huì)反饋的多播資源分配算法中,首先,理論證明了影響系統(tǒng)吞吐量性能的關(guān)鍵信道信息以較大概率屬于一個(gè)信道增益區(qū)間；其次,采用概率統(tǒng)計(jì)方法估計(jì)了該區(qū)間；最后,提出了多播系統(tǒng)中的機(jī)會(huì)反饋方案,并在該反饋機(jī)制下完成了資源分配。較之已有的部分反饋方案,所提機(jī)會(huì)反饋方案能夠顯著的降低系統(tǒng)的反饋量。 在基于編碼的無(wú)反饋多播資源分配算法中,首先,提出了數(shù)據(jù)的可修正編碼和分層編碼聯(lián)合編碼方案；其次,根據(jù)信道增益概率密度函數(shù)推導(dǎo)了基本層和增強(qiáng)層的傳輸速率；最后,根據(jù)基本層和增強(qiáng)層數(shù)據(jù)的特征,分別提出了基礎(chǔ)層算法和增強(qiáng)層算法。較之已有的無(wú)反饋方案,所提聯(lián)合編碼方案能夠取得更好的吞吐量性能。 (4)研究了多播系統(tǒng)中的傳輸時(shí)間與能量消耗均衡問(wèn)題,提出了一種基于自適應(yīng)解調(diào)映射的均衡方案。首先,為了提高系統(tǒng)傳輸效率,將自適應(yīng)解調(diào)映射方案引入到多播傳輸系統(tǒng)中；其次,理論推導(dǎo)了自適應(yīng)解調(diào)映射方案下的多播傳輸時(shí)間和能量消耗的表達(dá)式；最后,建立了一個(gè)基于衰減因子的距離最小化問(wèn)題來(lái)實(shí)現(xiàn)傳輸時(shí)間與能量消耗之間的均衡。所提均衡方案適用范圍較廣：對(duì)于時(shí)延敏感系統(tǒng),可以實(shí)現(xiàn)傳輸時(shí)間最小化；對(duì)于能量敏感系統(tǒng),可以實(shí)現(xiàn)能量消耗最小化；對(duì)于普通系統(tǒng),可以實(shí)現(xiàn)傳輸時(shí)間和能量消耗的均衡。
[Abstract]:With the rapid development of wireless communication technology , the number of mobile users is increasing and the quality of service is more and more demanding . In order to improve the resource utilization rate , the wireless broadcast / multicast technology ( BMS ) uses the same time - frequency resources to transmit the same service to multiple users , and it becomes a key technology in the next generation mobile cellular network ( IMT - Advanced ) standard . In order to improve the throughput of the multicast system , to ensure the fairness among the multicast users , reduce the feedback amount of the multicast system and realize the equilibrium of the multicast transmission time and energy consumption , the paper studies the user scheduling of the multicast system , the subcarrier allocation , the power allocation and the bit loading algorithm among users , and the main research contents are as follows :

( 1 ) The problem of opportunistic multicast scheduling based on maximum throughput is studied , and a multicast scheduling scheme based on adaptive user selection is proposed . Firstly , the principle of opportunistic multicast scheduling is described .
Secondly , the system throughput matrix is established and the opportunity multicast scheduling process is simulated with the matrix .
thirdly , according to the channel probability distribution function of the user , the value of each element in the system throughput matrix is deduced ;
Finally , in order to reduce the computational complexity of the full search method , a heuristic search method is proposed .
Simulation results show that the proposed adaptive user selection scheme can significantly improve the throughput of the system .

( 2 ) A multicast resource allocation algorithm based on sub - carrier coordination and user grouping is proposed . The goal is to maximize the system throughput on the basis of guaranteeing the perfect fairness among users . The objective is to maximize the system throughput on the basis of ensuring the full fairness among users . In the first stage , a two - stage optimization algorithm is proposed . In the first stage , the sub - carrier cooperation and the user packet transmission algorithm are designed to increase the transmission efficiency of the multicast system . In order to further reduce the operation complexity , a simplified algorithm is proposed .
Simulation results show that the proposed algorithm not only can guarantee users to accept the same quality of service , but also has better throughput performance .

( 3 ) The multicast resource allocation problem with less feedback is studied , and the multicast resource allocation algorithm based on the opportunity feedback and the non - feedback multicast resource allocation algorithm based on the coding are proposed for the unknown and the known two scenarios of the probability distribution function of the user channel .

In the multicast resource allocation algorithm based on opportunity feedback , firstly , the theory proves that the key channel information affecting the system throughput performance belongs to a channel gain interval with larger probability ;
Secondly , the interval is estimated by probability statistics method .
Finally , an opportunity feedback scheme in the multicast system is proposed and the resource allocation is completed under the feedback mechanism . Compared with the existing partial feedback scheme , the proposed feedback scheme can significantly reduce the feedback amount of the system .

In the coding - based non - feedback multicast resource allocation algorithm , firstly , a scalable coding and hierarchical coding scheme of data is proposed .
secondly , the transmission rate of the base layer and the enhancement layer is deduced according to the channel gain probability density function ;
Finally , based on the characteristics of the base layer and the enhancement layer data , the base layer algorithm and the enhancement layer algorithm are proposed . Compared with the existing feedback scheme , the proposed joint coding scheme can achieve better throughput performance .

In order to improve the transmission efficiency of the system , the adaptive demodulation mapping scheme is introduced into the multicast transmission system .
Secondly , the expression of multicast transmission time and energy consumption under adaptive demodulation mapping scheme is deduced .
Finally , a distance minimization problem based on the attenuation factor is established to realize the equalization between transmission time and energy consumption . The proposed equalization scheme has a wide application range : for time delay sensitive system , the transmission time can be minimized ;
For energy sensitive systems , energy consumption can be minimized ;
For a conventional system , equalization of transmission time and energy consumption can be achieved .
【學(xué)位授予單位】：北京郵電大學(xué)
【學(xué)位級(jí)別】：博士
【學(xué)位授予年份】：2014
【分類號(hào)】：TN929.5

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本文編號(hào)：2084625