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Resource Allocation and Partner Selection for Cooperative Multicarrier Systems

机译:协作多载波系统的资源分配和合作伙伴选择

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摘要

Subcarrier allocation, power allocation, and partner selection (PS) algorithms are examined for amplify-and-forward (AF) cooperative multicarrier systems. Consider a network that consists of multiple cooperative pairs that employ a two-phase cooperation scheme, where the users first transmit their own messages on each of their subcarriers in phase I and either retransmit their own messages or relay the messages of their partners in phase II. In general, subcarrier allocation and partner selection problems are known to be intractable for systems with large number of users and subcarriers. In this paper, we propose a suboptimal but mathematically tractable approach to address these issues and show its effectiveness compared with existing algorithms. This approach is done by considering the power allocation over a relaxed problem formulation, where each subcarrier is allowed to retransmit or relay for all other subcarriers in phase II over virtually orthogonal channels. The power allocation in this case is a convex optimization problem and, thus, can efficiently be solved. Based on the results of the relaxed power allocation problem, an efficient subcarrier allocation algorithm for the original problem can then be derived by allowing subcarriers to forward the data that are allocated the most power. The results also yield a necessary and sufficient condition on when cooperation is helpful among two users. A partner selection algorithm is then devised based on the criterion given in the condition. With the proposed subcarrier allocation scheme, an iterative procedure is then adopted for resource allocation in the two phases. The complexity of the proposed algorithm is discussed, and its efficacy is demonstrated through numerical simulations.
机译:针对放大转发(AF)协作多载波系统,检查了子载波分配,功率分配和伙伴选择(PS)算法。考虑一个网络,该网络由采用两阶段合作方案的多个合作对组成,其中用户在阶段I中首先在自己的每个子载波上发送自己的消息,然后在阶段II中重发自己的消息或中继其伙伴的消息。通常,已知子载波分配和伙伴选择问题对于具有大量用户和子载波的系统来说是棘手的。在本文中,我们提出了一种次优但在数学上易于处理的方法来解决这些问题,并与现有算法相比证明了其有效性。通过考虑宽松问题公式上的功率分配来完成此方法,在该问题公式中,每个子载波都可以在实际上正交的信道上针对相位II中的所有其他子载波重传或中继。在这种情况下,功率分配是凸优化问题,因此可以有效地解决。基于松弛功率分配问题的结果,然后可以通过允许子载波转发分配了最大功率的数据,来得出针对原始问题的有效子载波分配算法。结果还为两个用户何时进行协作提供了必要和充分的条件。然后根据条件中给出的标准设计伙伴选择算法。利用所提出的子载波分配方案,然后在两个阶段中采用迭代过程进行资源分配。讨论了所提算法的复杂性,并通过数值仿真证明了其有效性。

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