Fundamentals of Throughput Maximization With Random Arrivals for M2M Communications
Fundamentals of Throughput Maximization With Random Arrivals for M2M Communications
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DOI：
10.1109/tcomm.2014.2359222
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发表时间：
2014-11-01
影响因子：
8.3
通讯作者：
Valenzuela, Reinaldo A.
中科院分区：
文献类型：
--
作者：
Dhillon, Harpreet S.;Huang, Howard;Valenzuela, Reinaldo A.
对于无线系统中，随机到达的设备试图发送一个固定的有效载荷到一个中央接收器，我们开发了一个框架来表征系统的吞吐量作为一个函数的到达率和每设备的数据速率。该框架考虑了协调传输（其中设备被调度）和非协调传输（其中设备在随机接入信道上通信并且为重传做准备）。我们的主要贡献是一个新的表征的最佳吞吐量的情况下，不协调的传输和实现这种吞吐量的策略，依赖于重叠的传输和联合解码。一个噪声限制的蜂窝网络的仿真结果表明，最佳的策略提供了四个因素的吞吐量提高时隙ALOHA相比。我们应用我们的框架来评估更一般的系统级设计，占开销信令。我们证明，对于机器对机器（M2M）通信（200位或更少）相关的小有效载荷大小，一个阶段的策略，其中身份和数据最佳地通过随机接入信道传输，可以支持至少两倍的设备数量相比，传统的策略，其中身份是建立在初始随机接入阶段和数据传输计划。
For wireless systems in which randomly arriving devices attempt to transmit a fixed payload to a central receiver, we develop a framework to characterize the system throughput as a function of arrival rate and per-device data rate. The framework considers both coordinated transmission (where devices are scheduled) and uncoordinated transmission (where devices communicate on a random access channel and a provision is made for retransmissions). Our main contribution is a novel characterization of the optimal throughput for the case of uncoordinated transmission and a strategy for achieving this throughput that relies on overlapping transmissions and joint decoding. Simulations for a noise-limited cellular network show that the optimal strategy provides a factor of four improvement in throughput compared with slotted ALOHA. We apply our framework to evaluate more general system-level designs that account for overhead signaling. We demonstrate that, for small payload sizes relevant for machine-to-machine (M2M) communications (200 bits or less), a one-stage strategy, where identity and data are transmitted optimally over the random access channel, can support at least twice the number of devices compared with a conventional strategy, where identity is established over an initial random-access stage and data transmission is scheduled.