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A throughput-efficient and channel-adaptive scheduling scheme in voice/data DS-CDMA networks with transmission power constraints

机译:具有传输功率约束的语音/数据DS-CDMA网络中的吞吐量高效且信道自适应的调度方案

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In a practical voice/data CDMA network, the constraint of transmission powers makes it necessary to transmit multiple data users in parallel in order to fully utilize system resource (power). How to choose those data users that should be transmitted simultaneously and allocate appropriate powers among them remains an open issue. In this paper, we prove that it is optimal in the sense of maximum data throughput to select data users and allocate powers according to the descending order of their indexes of received power capability (IRPC). Here, IRPC is defined as the product of the transmission power upper bound and the channel gain, based on this principle, a channel-adaptive scheduling scheme, partially descending IRPC (PDI) scheduling, is proposed to achieve efficient throughput performance for data traffic while maintaining certain fairness among different users. The efficiency and fairness of the PDI scheduling are verified by comparing with the conventional fair-sharing scheme and round-robin scheme through computer simulations. Numerical results also reveal the robustness of the new scheme to the channel estimation errors.
机译:在实际的语音/数据CDMA网络中,传输功率的限制使得必须并行传输多个数据用户,以便充分利用系统资源(功率)。如何选择那些应同时传输的数据用户并在其中分配适当的权力仍然是一个悬而未决的问题。在本文中,我们证明从最大数据吞吐量的角度来看,选择数据用户并根据其接收功率能力(IRPC)指标的降序分配功率是最佳的。在此,将IRPC定义为传输功率上限和信道增益的乘积,基于此原理,提出了一种信道自适应调度方案,即部分下降的IRPC(PDI)调度,以实现数据业务的高效吞吐性能,同时在不同用户之间保持一定的公平性。通过计算机仿真,与传统的公平共享方案和轮询方案进行比较,验证了PDI调度的效率和公平性。数值结果也揭示了新方案对信道估计误差的鲁棒性。

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