LTE-A中载波聚合下的资源分配算法研究
发布时间：2019-07-03 20:21
【摘要】：随着无线通信技术的发展,系统对带宽的需求日益旺盛。为了满足用户的需求,ITU(International Telecommunication Union,国际电信联盟)提出了载波聚合等关键技术来扩充带宽,但是这一应用使得资源分配变得复杂,本文重点研究LTE-A(Long Term Evolution Advanced)系统中载波聚合下的资源分配优化问题。针对窄带用户的资源分配,若以系统吞吐量为优化目标,可以得到最优的系统吞吐量,但是用户之间存在严重的不公平性;而若以用户公平性为优化目标,会因为信道质量差的用户占用大量资源而导致吞吐量下降。本文设计了一种基于统一效用函数的交叉熵资源分配算法,该算法根据用户的需求对资源进行分配,平衡了吞吐量和公平性两大指标,从而得到最大的用户满意度。另外,针对窄带用户和宽带用户共存时的资源分配问题,本文研究了BF(Brute Force)算法和MSU(Maximum System Utility)算法。BF算法通过组合所有的资源分配方式,对比分析性能来获取解决方案,所以求得的方法是最优的,但是它的时间复杂度和系统开销很大;MSU算法使用效用函数达到最大的用户满意度,在用户公平性前提下尽可能最大化系统的吞吐量,但是其计算时间较大。本文设计了一种改进型的基于交叉熵的资源分配方案,在保证性能与BF算法和MSU算法非常接近的前提下,有效缩短了计算时间。并且仿真结果也验证了该算法的有效性和优越性。
[Abstract]:With the development of wireless communication technology, the demand for bandwidth is becoming more and more exuberant. In order to meet the needs of users, ITU (International Telecommunication Union, (International Telecom Union) proposed carrier aggregation and other key technologies to expand bandwidth, but this application makes resource allocation complex. This paper focuses on the optimization of resource allocation under carrier aggregation in LTE-A (Long Term Evolution Advanced) systems. For the resource allocation of narrowband users, if the system throughput is taken as the optimization goal, the optimal system throughput can be obtained, but there is a serious unfairness among the users, and if the user fairness is taken as the optimization goal, the throughput will decrease because the users with poor channel quality occupy a lot of resources. In this paper, a cross entropy resource allocation algorithm based on unified utility function is designed. The algorithm allocates resources according to the needs of users, balances throughput and fairness, and obtains the maximum user satisfaction. In addition, in order to solve the problem of resource allocation when narrowband users and broadband users coexist, this paper studies BF (Brute Force) algorithm and MSU (Maximum System Utility) algorithm. BF algorithm obtains the solution by combining all the resource allocation methods and comparing and analyzing the performance, so the method is optimal, but its time complexity and system overhead are very large. MSU algorithm uses utility function to achieve maximum user satisfaction and maximizes the throughput of the system under the premise of user fairness, but its computing time is large. In this paper, an improved resource allocation scheme based on cross entropy is designed, which effectively shortens the computing time on the premise that the performance is very close to that of BF algorithm and MSU algorithm. The simulation results also verify the effectiveness and superiority of the algorithm.
【学位授予单位】：西安电子科技大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TN929.5
本文编号：2509640
[Abstract]:With the development of wireless communication technology, the demand for bandwidth is becoming more and more exuberant. In order to meet the needs of users, ITU (International Telecommunication Union, (International Telecom Union) proposed carrier aggregation and other key technologies to expand bandwidth, but this application makes resource allocation complex. This paper focuses on the optimization of resource allocation under carrier aggregation in LTE-A (Long Term Evolution Advanced) systems. For the resource allocation of narrowband users, if the system throughput is taken as the optimization goal, the optimal system throughput can be obtained, but there is a serious unfairness among the users, and if the user fairness is taken as the optimization goal, the throughput will decrease because the users with poor channel quality occupy a lot of resources. In this paper, a cross entropy resource allocation algorithm based on unified utility function is designed. The algorithm allocates resources according to the needs of users, balances throughput and fairness, and obtains the maximum user satisfaction. In addition, in order to solve the problem of resource allocation when narrowband users and broadband users coexist, this paper studies BF (Brute Force) algorithm and MSU (Maximum System Utility) algorithm. BF algorithm obtains the solution by combining all the resource allocation methods and comparing and analyzing the performance, so the method is optimal, but its time complexity and system overhead are very large. MSU algorithm uses utility function to achieve maximum user satisfaction and maximizes the throughput of the system under the premise of user fairness, but its computing time is large. In this paper, an improved resource allocation scheme based on cross entropy is designed, which effectively shortens the computing time on the premise that the performance is very close to that of BF algorithm and MSU algorithm. The simulation results also verify the effectiveness and superiority of the algorithm.
【学位授予单位】：西安电子科技大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TN929.5
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3 万彭;杜志敏;;LTE和LTE-Advanced关键技术综述[J];现代电信科技;2009年09期
，本文编号：2509640
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