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Adaptive Subframe Partitioning And Efficient Packet Scheduling In Ofdma Cellular System With Fixed Decode-and-forward Relays

机译:具有固定解码转发中继的Ofdma蜂窝系统中的自适应子帧划分和高效分组调度

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The integration of multihop relays with orthogonal frequency-division multiple access (OFDMA) cellular infrastructures can meet the growing demands for better coverage and higher throughput. Resource allocation in the OFDMA two-hop relay system is more complex than that in the conventional single-hop OFDMA system. With time division between transmissions from the base station (BS) and those from relay stations (RSs), fixed partitioning of the BS subframe and RS subframes can not adapt to various traffic demands. Moreover, single-hop scheduling algorithms can not be used directly in the two-hop system. Therefore, we propose a semi-distributed algorithm called ASP to adjust the length of every subframe adaptively, and suggest two ways to extend single-hop scheduling algorithms into multihop scenarios: link-based and end-to-end approaches. Simulation results indicate that the ASP algorithm increases system utilization and fairness. The max carrier-to-interference ratio (Max C/I) and proportional fairness (PF) scheduling algorithms extended using the end-to-end approach obtain higher throughput than those using the link-based approach, but at the expense of more overhead for information exchange between the BS and RSs. The resource allocation scheme using ASP and end-to-end PF scheduling achieves a tradeoff between system throughput maximization and fairness.
机译:多跳中继与正交频分多址(OFDMA)蜂窝基础结构的集成可以满足对更好的覆盖范围和更高吞吐量的不断增长的需求。 OFDMA两跳中继系统中的资源分配比传统的单跳OFDMA系统中的资源分配更为复杂。利用来自基站(BS)的传输和来自中继站(RS)的传输之间的时分,BS子帧和RS子帧的固定划分不能适应各种业务需求。而且,单跳调度算法不能直接在两跳系统中使用。因此,我们提出了一种称为ASP的半分布式算法来自适应地调整每个子帧的长度,并提出了两种将单跳调度算法扩展到多跳场景的方法:基于链接的方法和端到端方法。仿真结果表明,ASP算法提高了系统利用率和公平性。使用端到端方法扩展的最大载波干扰比(Max C / I)和比例公平(PF)调度算法比使用基于链接的方法获得更高的吞吐量,但以更多的开销为代价用于在BS和RS之间进行信息交换。使用ASP和端到端PF调度的资源分配方案实现了系统吞吐量最大化和公平性之间的权衡。

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