|Table of Contents|

[1] Tan Yufeng, Li Junchao, Xia Weiwei, Shen Lianfeng, et al. Frame length optimization for multi-antenna downlink systemsbased on delay-bound violation probability constraints [J]. Journal of Southeast University (English Edition), 2015, 31 (2): 163-169. [doi:10.3969/j.issn.1003-7985.2015.02.001]
Copy

Frame length optimization for multi-antenna downlink systemsbased on delay-bound violation probability constraints()
Share:

Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:
31
Issue:
2015 2
Page:
163-169
Research Field:
Information and Communication Engineering
Publishing date:
2015-06-20

Info

Title:
Frame length optimization for multi-antenna downlink systemsbased on delay-bound violation probability constraints
Author(s):
Tan Yufeng Li Junchao Xia Weiwei Shen Lianfeng
National Mobile Communications Research Laboratory, Southeast University, Nanjing 210096, China
Keywords:
delay-bound violation probability frame length optimization effective bandwidth effective capacity multi-antenna systems quality of service
PACS:
TN92
DOI:
10.3969/j.issn.1003-7985.2015.02.001
Abstract:
A frame length optimization scheme is proposed for multi-antenna downlink systems to guarantee diverse delay-bound violation probability constraints. Due to the difficulties of extracting the quality of service(QoS)metrics from the conventional physical-layer channel models, the link-layer models named effective bandwidth and effective capacity are applied to statistically characterize the source traffic patterns and the queuing service dynamics. With these link-layer models, the source traffic process and the channel service process are mapped to certain QoS parameters. The packet delay-bound violation probability constraints are converted into minimum data rate constraints and the optimization problem is thus formulated into simultaneous inequalities. With the assumption of ergodic block-fading channels, the optimal frame lengths of single-user and multiuser systems are calculated respectively by numerical iterative methods. Theoretical analyses and simulation results show that the given delay-bound violation probability constraints are well satisfied with the optimal frame length.

References:

[1] Trifonov P. Optimization of the downlink frame length in adaptive systems [C]//2005 IEEE 7th CAS Symposium on Emerging Technologies:Circuits and Systems for 4G Mobile Wireless Communications. St. Petersburg, Russia, 2005: 50-53.
[2] Keum Seung Won, Kim Jeong Gon. Decision of frame size and radio resource allocation for OFDMA/TDD-based next generation cellular systems [C]//2007 International Conference on Convergence Information Technology. Gyeongju, Korea, 2007:984-989.
[3] Wu Yi, Tang Zhiqiang, Larsson E G. Optimization of frame length in OFDMA systems taking into account the control signaling cost [C]//2011 IEEE 73rd Vehicular Technology Conference(VTC Spring). Yokohama, Japan, 2011: 1-5.
[4] Lettieri P, Srivastava M B. Adaptive frame length control for improving wireless link throughput, range, and energy efficiency [C]//IEEE 17th Annual Joint Conference of the IEEE Computer and Communications Societies. San Francisco, CA, USA, 1998: 564-571.
[5] Iqbal A, Qureshi H K, Saleem M, et al. On the tradeoff between reliability and frame length in wireless networks [C]//Third International Conference on Next Generation Mobile Applications, Services and Technologies. Cardiff, Wales, 2009: 265-270.
[6] Chaudhary M H, Scheers B. Progressive decentralized TDMA based MAC: joint optimization of slot allocation and frame lengths [C]//2013 IEEE Military Communications Conference. San Diego, CA, USA, 2013: 181-187.
[7] Wu Dapeng, Negi R. Effective capacity: a wireless link model for support of quality of service [J]. IEEE Transactions on Wireless Communications, 2003, 2(4): 630-640.
[8] Davy A, Meskill B, Domingo P J. An empirical study of effective capacity throughputs in 802.11 wireless networks [C]//2012 IEEE Global Communications Conference. Anaheim, CA, USA, 2012: 1770-1775.
[9] Anwar A H, Seddik K G, ElBatt T, et al. Effective capacity of delay constrained cognitive radio links exploiting primary feedback [C]//11th International Symposium on Modeling & Optimization in Mobile, Ad Hoc & Wireless Networks. Tsukuba, Japan, 2013: 412-419.
[10] Chang C S. Performance guarantees in communication networks [M]. Berlin, Germany: Springer-Verlag, 2000.
[11] Harsini J S, Lahouti F. Adaptive transmission policy design for delay-sensitive and bursty packet traffic over wireless fading channels [J]. IEEE Transactions on Wireless Communications, 2009, 8(2): 776-786.
[12] Kuo Ping Heng, Smith P J, Garth L M. Joint density for eigenvalues of two correlated complex Wishart matrices: characterization of MIMO systems [J]. IEEE Transactions on Wireless Communications, 2007, 6(11): 3902-3906.

Memo

Memo:
Biographies: Tan Yufeng(1988—), female, graduate; Shen Lianfeng(corresponding author), male, professor, lfshen@seu.edu.cn.
Foundation items: The National Science and Technology Major Project(No.2012ZX03004005-003), the National Natural Science Foundation of China(No.61171081, 61201175), the Research Fund of National Mobile Communications Research Laboratory of Southeast University(No.2014A03).
Citation: Tan Yufeng, Li Junchao, Xia Weiwei, et al.Frame length optimization for multi-antenna downlink systems based on delay-bound violation probability constraints[J].Journal of Southeast University(English Edition), 2015, 31(2):163-169.[doi:10.3969/j.issn.1003-7985.2015.02.001]
Last Update: 2015-06-20