欢迎访问中国科学院大学学报,今天是
计算机科学

一种基于有效容量的混合业务资源分配算法

  • 曹家燕 ,
  • 邱玲
展开
  • 中国科学技术大学个人通信与扩频实验室, 合肥 230027

收稿日期: 2013-09-24

  修回日期: 2013-12-19

  网络出版日期: 2014-09-15

基金资助

国家科技重大专项(2010ZX03002-003-001)和国家自然科学基金(11175173)资助

An effective capacity-based hybrid service resource allocation algorithm

  • CAO Jiayan ,
  • QIU Ling
Expand
  • Personal Communications Network and Spectrum Spread Lab, University of Science and Technology of China, Hefei 230027, China

Received date: 2013-09-24

  Revised date: 2013-12-19

  Online published: 2014-09-15

摘要

通过有效容量与信息论的结合,提出一种OFDMA下行网络中基于不同业务服务质量(QoS)的资源分配算法.算法以最大化系统有效容量为目标,根据实时会话业务的去耦特性,保持其有效容量不变,逐步提高文件传输业务的有效容量,至系统功率达到预设门限.仿真结果表明,在保证混合业务时延要求的基础上,系统整体有效容量得到显著提高.

本文引用格式

曹家燕 , 邱玲 . 一种基于有效容量的混合业务资源分配算法[J]. 中国科学院大学学报, 2014 , 31(5) : 685 -690 . DOI: 10.7523/j.issn.2095-6134.2014.05.015

Abstract

We propose a QoS-driven resource allocation algorithm in the downlink orthogonal frequency division multiple access (OFDMA) network by integrating information theory with the concept of effective capacity (EC). By exploring the decoupling property of real-time session,we maximizes the network EC by increasing the EC of file transfer users gradually until the system power reaches the threshold while keeping the EC of real-time session users unchanged. Simulation shows that the proposed algorithm significantly improves the overall EC under the delay constraint.

参考文献

[1] Cui Y, Lau V K N, Wang R, et al. A survey on delay-aware resource control for wireless systems: large deviation theory, stochastic lyapunov drift, and distributed stochastic learning[J]. IEEE Transaction on Information Theory, 2012, 58 (3): 1 677-1 701.

[2] Wu D, Negi R. Effective capacity: a wireless link model for support of quality of service[J]. IEEE Transactions on Wireless Communications, 2003, 2 (4): 630-643.

[3] Balasubramanian A, Miller S L. The effective capacity of a time division downlink scheduling system[J].IEEE Transactions on Communications, 2010, 58 (1): 73-78.

[4] Du Q, Zhang X. Resource allocation for downlink statistical multiuser QoS provisionings in cellular wireless networks[C]//IEEE Conference on Computer Communications. Phoenix, 2008:2 405-2 413.

[5] Cheng W C, Zhang X, Zhang H L, Maximizing effective capacity over wireless links under average and peak power constraints[C]//IEEE International Conference on Communications. Mexico, 2012:5 190-5 194.

[6] Baek S, Lee H G, Nicopoulos C. et al, ECM: effective capacity maximizer for high-performance compressed caching[C]//IEEE International Symposium on High Performance Computer Architecture. 2013:23-27.

[7] Liu B, Qiu L. Effective capacity based resource allocation scheme in OFDMA for time-varying channels[J]. Journal of Electronics & Information Technology, 2011, 33(10):2 312-2 316(in Chinese). 刘蓓, 邱玲.时变信道下基于QoS保证的OFDMA系统资源分配方案[J].电子信息学报, 2011, 33 (10): 2 312-2 316.

[8] Xiong C, Li G X, Zhang S, et al. Energy-and spectral-efficiency tradeoff in downlink OFDMA networks[J]. IEEE Transactions on Wireless Communications, 2011, 10(11):3 874-3 886.

[9] Kim H, Veciana G D. Leveraging dynamic spare capacity in wireless systems to conserve mobile terminals' energy[J].IEEE/ACM Transactions on Networking, 2010, 18(3): 802-815.

[10] Tang J, Zhang X. Cross-layer modeling for quality of service guarantees over wireless links[J]. IEEE Transactions on Wireless Communications, 2007, 6(12):4 504-4 512.

[11] Tang J, Zhang X. Quality-of-service driven power and rate adaptation for multichannel communications over wireless links[J]. IEEE Transactions on Wireless Communications, 2007, 6(12): 4 349-4 360.

[12] Wong C Y, Cheng R S, Lataief K B, et al. Multiuser OFDM with adaptive subcarrier, bit, and power allocation[J]. IEEE Journal on Selected Areas in Communications, 1999, 17 (10): 1 747-1 758.

[13] Zhang H X, Ma Y B, Yuan D, et al. Quality-of-service driven power and sub-carrier allocation policy for vehicular communication networks[J]. IEEE Journal on Selected Areas in Communications, 2011, 29 (1): 197-206.

文章导航

/