基于OFDM的无线系统资源分配算法

S. Rostami, K. Arshad, P. Rapajic
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引用次数: 6

摘要

载波聚合(CA)是下一代无线通信系统的一项关键功能,它使运营商能够通过聚合可用的组件载波(cc)为数据饥渴型应用创建更大的虚拟载波带宽。本文研究了基于正交频分复用(OFDM)的无线系统中的资源分配(RA)优化问题。我们表明,在发射功率和每个用户可用的cc数量有限的实际约束下,具有CA的资源分配可以表述为复杂的混合整数规划优化问题。提出了一种分两步解决方案,第一步:CC分配以满足用户CA约束并消除优化问题中难以处理的整数约束,第二步:功率和子载波(SC)分配算法以次优方式在用户之间分配资源。在此基础上,我们提出了两种复杂度较低的高效RA算法,即两步RA算法(two-step RA Algorithm, TSRAA)和高效RA算法(efficient RA Algorithm, ERAA)。将TSRAA和ERAA的性能与作为最优解的高度复杂组合算法(COA)进行了比较。仿真结果验证了TSRAA达到了最优解,并充分利用了无线系统的多cc分集。此外,数值结果表明,ERAA以极低的复杂度获得了令人满意的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Resource allocation algorithms for OFDM based wireless systems
Carrier Aggregation (CA) is a key functionality for next generation wireless communication systems that enables operators to create larger virtual carrier bandwidths for data hungry applications by aggregating available Component Carriers (CCs). In this paper, the Resource Allocation (RA) optimisation problem in Orthogonal Frequency Division Multiplexing (OFDM) based wireless systems is studied with CA. We show that RA with CA can be formulated as a complex mixed integer programming optimisation problem under the practical constraints of transmit power and limited number of CCs available for each user. A two-step solution is proposed, Step 1: CC allocation is performed to satisfy users CA constraints and remove the intractable integer constraints of the optimisation problem, Step 2: power and SubCarrier (SC) allocation algorithm assigns resources among users sub-optimally. We propose two efficient methods based on our two-step solution with reasonably low complexity refer as Two-Step RA Algorithm (TSRAA) and Efficient RA Algorithm (ERAA). The performance of TSRAA and ERAA are compared with the highly complex Combinatorial Algorithm (COA) introduced as an optimal solution. Simulation results verify that TSRAA reaches to optimum solution and exploits the multi-CC diversity of wireless systems. Furthermore, numerical results show that ERAA achieves satisfying performance with very low complexity.
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