.png){kind=icon}
返回
Energy-Efficient Adaptive Power Allocation for Incremental MIMO Systems
.png){kind=icon}
OA
AI
DOI：10.1109/TVT.2015.2417500.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
We consider energy-efficient adaptive power allocation for three incremental multiple-input-multiple-output (IMIMO) systems employing automatic repeat request (ARQ), hybrid ARQ (HARQ) with Chase combining (CC), and HARQ with incremental redundancy (IR) to minimize their rate-outage probability (or equivalently packet drop rate) under a constraint on average energy consumption per data packet. We first provide the rate-outage probability expressions for the three IMIMO systems and then propose methods to convert them into a tractable form and formulate the corresponding nonconvex optimization problems that can be solved by an interior-point algorithm for finding a local optimum. To reduce further the solution complexity, using an asymptotically equivalent approximation of the rate-outage probability expressions, we approximate the nonconvex optimization problems as a unified geometric programming problem (GPP), for which we derive the closed-form solution. Illustrative results indicate that the proposed power allocation (PPA) offers significant gains in energy savings as compared with the equal power allocation (EPA), and the simple closed-form GPP solution can provide closer performance to the exact method at lower values of rate-outage probability for the three IMIMO systems.
Keyword:
Automatic repeat request (ARQ)
Chase combining (CC)
hybrid ARQ (HARQ)
incremental multiple-input-multiple-output (IMIMO)
incremental redundancy (IR)
low-complexity MIMO
power allocation
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
7.1
论文数:
1.8W
被引数:
6.6W
机构
引用论文
.png){kind=icon}
分享收藏
查看更多内容