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On the Complexity of Joint Subcarrier and Power Allocation for Multi-User OFDMA Systems

机译:多用户OFDMA系统联合子载波的复杂性和功率分配

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Consider a multi-user orthogonal frequency division multiple access (OFDMA) system where multiple users share multiple discrete subcarriers, but at most one user is allowed to transmit power on each subcarrier. To adapt fast traffic and channel fluctuations and improve the spectrum efficiency, the system should have the ability to dynamically allocate subcarriers and power resources to users. Assuming perfect channel knowledge, two formulations for the joint subcarrier and power allocation problem are considered in this paper: the first is to minimize the total transmission power subject to the quality of service constraints and the OFDMA constraint, and the second is to maximize some system utility function subject to the total transmission power constraint per user and the OFDMA constraint. In spite of the existence of various heuristics approaches, little is known about the computational complexity status of the above problem. This paper aims at filling this theoretical gap, i.e., characterizing the complexity of the joint subcarrier and power allocation problem for the multi-user OFDMA system. It is shown in this paper that both formulations of the joint subcarrier and power allocation problem are strongly NP-hard. Several subclasses of the problem which can be solved efficiently in polynomial time are also identified. These complexity results suggest that there are not polynomial time algorithms that are able to solve the general joint subcarrier and power allocation problem to global optimality (unless ${rm P}={rm NP}$ ), and determining an approximately optimal subcarrier and power allocation strategy is more realistic in practice.
机译:考虑一种多用户正交频分多址(OFDMA)系统,其中多个用户共享多个离散子载波,但最多允许一个用户在每个子载波上传输功率。为了适应快速的业务量和信道波动并提高频谱效率,系统应具有向用户动态分配子载波和功率资源的能力。假设有完善的信道知识,本文考虑了两种联合子载波和功率分配问题的公式:一种是在服务质量约束和OFDMA约束下使总传输功率最小,第二种是使某些系统最大化效用函数受每个用户的总传输功率约束和OFDMA约束的约束。尽管存在各种启发式方法,但对于上述问题的计算复杂性状况知之甚少。本文旨在填补这一理论空白,即表征多用户OFDMA系统联合子载波的复杂性和功率分配问题。本文表明,联合副载波和功率分配问题的公式都具有很强的NP难性。还确定了可以在多项式时间内有效解决的问题的几个子类。这些复杂性结果表明,没有多项式时间算法能够将通用联合子载波和功率分配问题求解为全局最优性(除非$ {rm P} = {rm NP} $),并确定近似最优的子载波和功率分配策略在实践中更为现实。

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