针对Wimax中多用户的考虑状态转移损失的省电算法

Bo LI; Sung-kwon PARK

doi:10.1631/FITEE.1500314

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针对Wimax中多用户的考虑状态转移损失的省电算法

常规文章 | Updated：2022-05-19

- 针对Wimax中多用户的考虑状态转移损失的省电算法
- Maximizing power saving with state transition overhead for multiple mobile subscriber stations in WiMAX
- 信息与电子工程前沿（英文） 2016年17卷第10期页码：1085-1094
- Affiliations：
  
  1Department of Electronic Engineering, Hanyang University, Seoul 133791, Korea
  2Guangdong Provincial Key Laboratory of Big Data Analysis and Processing, Sun Yat-Sen University, Guangzhou 510006, China
- Author bio：
  
  E-mail: bosign@gmail.com
- Funds：
- DOI：10.1631/FITEE.1500314
  中图分类号： TN929.53
- 收稿：2015-09-25，
  
  录用：2016-3-21，
  
  纸质出版：2016-10
- Accepted：
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针对Wimax中多用户的考虑状态转移损失的省电算法[J]. 信息与电子工程前沿（英文）, 2016,17(10):1085-1094.

Bo LI, Sung-kwon PARK. Maximizing power saving with state transition overhead for multiple mobile subscriber stations in WiMAX[J]. Frontiers of Information Technology & Electronic Engineering, 2016, 17(10): 1085-1094.
针对Wimax中多用户的考虑状态转移损失的省电算法[J]. 信息与电子工程前沿（英文）, 2016,17(10):1085-1094. DOI： 10.1631/FITEE.1500314.

Bo LI, Sung-kwon PARK. Maximizing power saving with state transition overhead for multiple mobile subscriber stations in WiMAX[J]. Frontiers of Information Technology & Electronic Engineering, 2016, 17(10): 1085-1094. DOI： 10.1631/FITEE.1500314.

摘要

在IEEE802.16e/m标准中，为了节省移动台（mobile subscriber station

MSS）的电量，定义了三种省电类型（power saving classes

PSC）。但是，标准中并未规定如何设置PSC的参数来最大化省电量和确保服务质量（quality of service

QoS）。因此，很多人提出了设置PSC参数的算法。这些算法中大部分只考虑了针对一个MSS的PSC参数设置。在针对多个MSS的算法中，MSS从工作状态到休眠状态转变的电量损失又未被考虑。本论文研究针对多MSS的PSC参数设置问题，并考虑MSS从工作状态到休眠状态转变的电量损失。该问题是NP难问题。我们为该问题提出了一个次优的算法。仿真结果表明我们提出的算法的性能优于当前最好的算法，并且接近于最优极限值。

Abstract

In the IEEE 802.16e/m standard

three power saving classes (PSCs) are defined to save the energy of a mobile subscriber station (MSS). However

how to set the parameters of PSCs to maximize the power saving and guarantee the quality of service is not specified in the standard. Thus

many algorithms were proposed to set the PSCs in IEEE 802.16 networks. However

most of the proposed algorithms consider only the power saving for a single MSS. In the algorithms designed for multiple MSSs

the sleep state

which is set for activation of state transition overhead power

is not considered. The PSC setting for real-time connections in multiple MSSs with consideration of the state transition overhead is studied. The problem is non-deterministic polynomial time hard (NP-hard)

and a suboptimal algorithm for the problem is proposed. Simulation results demonstrate that the energy saving of the proposed algorithm is higher than that of state-of-the-art algorithms and approaches the optimum limit.

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