Modeling and Analysis for Effective Capacity of a Cross-Layer Optimized Wireless Networks
New generation mobile communication networks have
the ability of supporting triple play. In order that, Orthogonal
Frequency Division Multiplexing (OFDM) access techniques have
been chosen to enlarge the system ability for high data rates
networks. Many of cross-layer modeling and optimization schemes
for Quality of Service (QoS) and capacity of downlink multiuser
OFDM system were proposed. In this paper, the Maximum Weighted
Capacity (MWC) based resource allocation at the Physical (PHY)
layer is used. This resource allocation scheme provides a much better
QoS than the previous resource allocation schemes, while
maintaining the highest or nearly highest capacity and costing similar
complexity. In addition, the Delay Satisfaction (DS) scheduling at the
Medium Access Control (MAC) layer, which allows more than one
connection to be served in each slot is used. This scheduling
technique is more efficient than conventional scheduling to
investigate both of the number of users as well as the number of
subcarriers against system capacity. The system will be optimized for
different operational environments: the outdoor deployment scenarios
as well as the indoor deployment scenarios are investigated and also
for different channel models. In addition, effective capacity approach
[1] is used not only for providing QoS for different mobile users, but
also to increase the total wireless network's throughput.
[1] D. Wu and R. Negi, "Effective capacity: a wireless link model for
support of quality of service", IEEE Transactions on Wireless
Communications, vol. 2, no.4, pp. 630-643, July 2003.
[2] Nan Zhou, Xu Zhu and Yi Huang, "Cross-Layer Optimization with
Guaranteed QoS for Wireless Multiuser OFDM Systems," Personal,
Indoor and Mobile Radio Communications, IEEE 18th International
Symposium PIMRC'07, Athens, pp. 1-5, Sept. 2007.
[3] Nan Zhou, Xu Zhu, Yi Huang and Hai Lin, "Novel Batch Dependant
Cross-Layer scheduling for multiuser OFDM systems," IEEE
International conference ICC'2008, Beijing, pp.3878~3882, May 2008.
[4] Dzmitry Kliazovich, Michael Devetsikiotis and Fabrizio Granelli,
"Formal methods in cross layer modeling and optimization of wireless
networks: state of the art and future directions," Handbook of Research
on Heterogeneous Next Generation Networking: Innovations and
Platforms, IGI global, pp1~24, 2009.
[5] Jia Tang, Xi Zhang, "Cross-Layer-Model Based Adaptive Resource
Allocation for Statistical QoS Guarantees in Mobile Wireless
Networks," IEEE Transactions on Wireless Communications, vol. 7, no.
6, pp. 2318-2328, June 2008.
[6] J. Tang and X. Zhang, "Cross-Layer Resource Allocation Over Wireless
Relay Networks for Quality of Service Provisioning," IEEE J. Sel. Areas
Communications, vol. 25, no. 4, pp. 645-657, May 2007.
[7] A. Balasubramanian and Scott L. Miller, "The Effective Capacity of a
time Division Downlink Scheduling System," IEEE Transactions on
Communications, vol. 58, no. 1, January 2010.
[8] Z. Shen, J. G. Andrews, and B. L. Evans, "Adaptive Resource
Allocation in Multiuser OFDM Systems with Proportional Rate
Constraints," IEEE Transactions on Wireless Communications, vol.4,
pp 2726-2737, 2005.
[9] Andrea Goldsmith, Wireless Communications, Cambridge University,
2005.
[10] Qing Wang, Dapeng Wu and Pingyi Fan, "Effective Capacity of a
correlated Nakagami-m Fading Channel," Wireless communications and
mobile computing, John Wiley, Feb. 2011.
[11] Gaofei Huang, Guanchi Zhang and Hui Zheng , "QoS-driven resource
allocation scheme for the OFDM amplify-and-forward relay system,"
Wireless Communications, Networking and Mobile Computing
(WiCOM), Wuhan, pp. 3878-3882, Sept. 2011.
[12] T. M. Cover and J. A. Thomas, Elements of Information Theory. New
York: Wiley, 1991.
[13] V.Erceg, K. V. S. Hari, "Channel Models for Fixed Wireless /networks,"
Technical Report, IEEE 802.16 Broadband Wireless Access Working
Group, January 2001.
[14] "3GPP Long Term Evolution: System Overview, Product Development
and Test Challenges," Agilent Technology, available on:
http://cp.literature.agilent.com/litweb/pdf/5989-8139EN.pdf, June 2009.
[15] " 3G LTE Tutorial - 3GPP Long Term Evolution," Radio-Electronics,
available on: http://www.radioelectronics.
com/info/cellulartelecomms/lte-long-term-evolution/3g-ltebasics.
php
[16] Nan Zhou, Xu Zhu, Yi Huang and Hai Lin, "Low Complexity Cross-
Layer Design with Packet Dependent Scheduling for Heterogeneous
Traffic in Multiuser OFDM Systems," IEEE Transactions on Wireless
Communications, vol.9, no.6, pp.1912~1923, 2010.
[1] D. Wu and R. Negi, "Effective capacity: a wireless link model for
support of quality of service", IEEE Transactions on Wireless
Communications, vol. 2, no.4, pp. 630-643, July 2003.
[2] Nan Zhou, Xu Zhu and Yi Huang, "Cross-Layer Optimization with
Guaranteed QoS for Wireless Multiuser OFDM Systems," Personal,
Indoor and Mobile Radio Communications, IEEE 18th International
Symposium PIMRC'07, Athens, pp. 1-5, Sept. 2007.
[3] Nan Zhou, Xu Zhu, Yi Huang and Hai Lin, "Novel Batch Dependant
Cross-Layer scheduling for multiuser OFDM systems," IEEE
International conference ICC'2008, Beijing, pp.3878~3882, May 2008.
[4] Dzmitry Kliazovich, Michael Devetsikiotis and Fabrizio Granelli,
"Formal methods in cross layer modeling and optimization of wireless
networks: state of the art and future directions," Handbook of Research
on Heterogeneous Next Generation Networking: Innovations and
Platforms, IGI global, pp1~24, 2009.
[5] Jia Tang, Xi Zhang, "Cross-Layer-Model Based Adaptive Resource
Allocation for Statistical QoS Guarantees in Mobile Wireless
Networks," IEEE Transactions on Wireless Communications, vol. 7, no.
6, pp. 2318-2328, June 2008.
[6] J. Tang and X. Zhang, "Cross-Layer Resource Allocation Over Wireless
Relay Networks for Quality of Service Provisioning," IEEE J. Sel. Areas
Communications, vol. 25, no. 4, pp. 645-657, May 2007.
[7] A. Balasubramanian and Scott L. Miller, "The Effective Capacity of a
time Division Downlink Scheduling System," IEEE Transactions on
Communications, vol. 58, no. 1, January 2010.
[8] Z. Shen, J. G. Andrews, and B. L. Evans, "Adaptive Resource
Allocation in Multiuser OFDM Systems with Proportional Rate
Constraints," IEEE Transactions on Wireless Communications, vol.4,
pp 2726-2737, 2005.
[9] Andrea Goldsmith, Wireless Communications, Cambridge University,
2005.
[10] Qing Wang, Dapeng Wu and Pingyi Fan, "Effective Capacity of a
correlated Nakagami-m Fading Channel," Wireless communications and
mobile computing, John Wiley, Feb. 2011.
[11] Gaofei Huang, Guanchi Zhang and Hui Zheng , "QoS-driven resource
allocation scheme for the OFDM amplify-and-forward relay system,"
Wireless Communications, Networking and Mobile Computing
(WiCOM), Wuhan, pp. 3878-3882, Sept. 2011.
[12] T. M. Cover and J. A. Thomas, Elements of Information Theory. New
York: Wiley, 1991.
[13] V.Erceg, K. V. S. Hari, "Channel Models for Fixed Wireless /networks,"
Technical Report, IEEE 802.16 Broadband Wireless Access Working
Group, January 2001.
[14] "3GPP Long Term Evolution: System Overview, Product Development
and Test Challenges," Agilent Technology, available on:
http://cp.literature.agilent.com/litweb/pdf/5989-8139EN.pdf, June 2009.
[15] " 3G LTE Tutorial - 3GPP Long Term Evolution," Radio-Electronics,
available on: http://www.radioelectronics.
com/info/cellulartelecomms/lte-long-term-evolution/3g-ltebasics.
php
[16] Nan Zhou, Xu Zhu, Yi Huang and Hai Lin, "Low Complexity Cross-
Layer Design with Packet Dependent Scheduling for Heterogeneous
Traffic in Multiuser OFDM Systems," IEEE Transactions on Wireless
Communications, vol.9, no.6, pp.1912~1923, 2010.
@article{"International Journal of Electrical, Electronic and Communication Sciences:54929", author = "Reham A. El-mayet and Hesham M. El-Badawy and Salwa H. Elramly", title = "Modeling and Analysis for Effective Capacity of a Cross-Layer Optimized Wireless Networks", abstract = "New generation mobile communication networks have
the ability of supporting triple play. In order that, Orthogonal
Frequency Division Multiplexing (OFDM) access techniques have
been chosen to enlarge the system ability for high data rates
networks. Many of cross-layer modeling and optimization schemes
for Quality of Service (QoS) and capacity of downlink multiuser
OFDM system were proposed. In this paper, the Maximum Weighted
Capacity (MWC) based resource allocation at the Physical (PHY)
layer is used. This resource allocation scheme provides a much better
QoS than the previous resource allocation schemes, while
maintaining the highest or nearly highest capacity and costing similar
complexity. In addition, the Delay Satisfaction (DS) scheduling at the
Medium Access Control (MAC) layer, which allows more than one
connection to be served in each slot is used. This scheduling
technique is more efficient than conventional scheduling to
investigate both of the number of users as well as the number of
subcarriers against system capacity. The system will be optimized for
different operational environments: the outdoor deployment scenarios
as well as the indoor deployment scenarios are investigated and also
for different channel models. In addition, effective capacity approach
[1] is used not only for providing QoS for different mobile users, but
also to increase the total wireless network's throughput.", keywords = "Cross-layer, effective capacity, LTE, OFDM, QoS,
resource allocation, wireless networks.", volume = "6", number = "10", pages = "1147-7", }