This study concentrates on the study of a downlink cooperative cellular (DCC) network in which an access point is located in the centre of each cell and two relay stations are installed in the border between both sectors of a cell to obtain higher cell-edge throughput. To optimise the network efficiency, a joint optimal subcarrier and power allocation scheme is proposed which initially derives the highest achievable rate for a single-legacy user (LU), then, through further evaluation and analysis, this is generalised to the case of a multiple-LU environment. Next, to maximise the overall throughput and ensure fairness, a multi-objective lexicographical optimisation problem (MLOP) is formulated to maximise the minimum LUs rate while improving the overall throughput. As the proposed MLOP is a mixed-integer non-linear problem, finding optimal solutions is impractical and in general, there is no standard method for optimally obtaining a solution. Hence, two efficient algorithms are introduced in this study. Simulation results confirm that the proposed algorithms achieve a fair and near-optimal performance for the multi-LU DCC network based on two relay channels, which makes them desirable in practice compared to some of the sub-optimal well-known algorithms investigated in this study.

中文翻译：

---

正交频分复用载波上的下行协作蜂窝网络联合最优资源分配方案

这项研究集中于下行链路协作蜂窝（DCC）网络的研究，其中接入点位于每个小区的中心，并且两个中继站安装在小区的两个扇区之间的边界，以获得更高的小区边缘吞吐量。为了优化网络效率，提出了一种联合最优子载波和功率分配方案，该方案最初会得出单传统用户（LU）的最高可实现速率，然后通过进一步的评估和分析，将其推广到多种情况。 -LU环境。接下来，为了最大化总体吞吐量并确保公平性，制定了多目标词典优化问题（MLOP），以最大程度提高最小LU率，同时提高总体吞吐量。由于拟议的MLOP是一个混合整数非线性问题，寻找最优解是不切实际的，并且通常，没有用于最优地获得解的标准方法。因此，本研究引入了两种有效的算法。仿真结果证实，所提出的算法在基于两个中继信道的多路DCC网络上实现了公平和接近最佳的性能，与本研究中研究的一些次优的知名算法相比，它们在实践中是理想的。