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A method for optimizing downlink throughput using user cooperation and scheduling in adaptive cellular networks

机译:在自适应蜂窝网络中使用用户协作和调度来优化下行链路吞吐量的方法

摘要

User cooperation is an emerging transmission framework where users act as relays of each other to provide extra diversity paths for better overall performance. In various embodiments, systems and methods for transmitting data from a basestation to a mobile device in an adaptive communications network including user cooperation are provided. Among various embodiments, relaying is performed according to a time division duplex (TDD) system according to either a downlink-assisted relaying (DAR) which performs a relaying operation in a defined supplemental downlink timeslot or according to an uplink-assisted relaying (UAR) which performs a relaying operation in a defined supplemental uplink timeslot. Among other embodiments, relay transmissions according to a max-throughput scheduling algorithm which achieves a maximum system throughput without imposing any fairness constraints on users or according to a round-robin scheduling algorithm which achieves absolute fairness in terms of delays among the considered users. The downlink throughput is optimized from the basestation to the mobile device utilizing either amplify-and-forward (AF) or decode-and-forward (DF) cooperation protocols.
机译:用户合作是一种新兴的传输框架,其中用户充当彼此的中继,以提供额外的分集路径以提高整体性能。在各种实施例中,提供了用于在包括用户合作的自适应通信网络中从基站向移动设备传输数据的系统和方法。在各种实施例中,根据时分双工(TDD)系统根据在定义的补充下行链路时隙中执行中继操作的下行链路辅助中继(DAR)或根据上行链路辅助中继(UAR)来执行中继它在定义的补充上行链路时隙中执行中继操作。在其他实施例中,根据最大吞吐量调度算法的中继传输,该最大吞吐量调度算法在不对用户施加任何公平性约束的情况下实现了最大系统吞吐量,或者根据在所考虑的用户之间的延迟方面实现了绝对公平性的轮询调度算法。利用放大转发(AF)或解码转发(DF)协作协议,可以优化从基站到移动设备的下行链路吞吐量。

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