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Energy efficiency optimization in uplink virtual MIMO systems

机译:上行虚拟MIMO系统中的能效优化

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Energy-efficient transmission is increasing in importance for wireless system design because of limited battery power in mobile devices. In this paper, we consider energy efficiency optimization in uplink virtual MIMO systems. First, accurate closed-form expressions are derived for the achievable energy efficiency for both multi-user (MU) transmission mode and single-user (SU) transmission mode, which are based on the ergodic throughput, transmit power and circuit power. Then, we demonstrate the existence of unique globally optimal energy efficiency for SU and MU mode, respectively. Since users have data rates requirement and peak power limits, we further consider power constraint, and develop joint mode switching with power loading schemes to optimize energy efficiency for both homogeneous and heterogeneous networks. Finally, our simulation results show that the proposed adaptive transmission strategies significantly improve energy efficiency.
机译:由于移动设备中的电池电量有限,节能传输在无线系统设计中的重要性日益提高。在本文中,我们考虑了上行链路虚拟MIMO系统中的能效优化。首先,基于遍历吞吐量,发射功率和电路功率,针对多用户(MU)传输模式和单用户(SU)传输模式可实现的能源效率,得出精确的闭式表达式。然后,我们分别证明了SU和MU模式具有唯一的全局最优能源效率。由于用户具有数据速率要求和峰值功率限制,因此我们进一步考虑功率约束,并开发具有功率加载方案的联合模式切换,以优化同构和异构网络的能源效率。最后,我们的仿真结果表明,提出的自适应传输策略显着提高了能源效率。

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