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12 - Cross-layer design of adaptive packet scheduling for green radio networks

from Part IV - Wireless access techniques for green radio networks

Published online by Cambridge University Press:  05 August 2012

Ashok Karmokar
Affiliation:
Ryerson University, Canada
Alagan Anpalagan
Affiliation:
Ryerson University, Canada
Ekram Hossain
Affiliation:
University of Manitoba, Canada
Ekram Hossain
Affiliation:
University of Manitoba, Canada
Vijay K. Bhargava
Affiliation:
University of British Columbia, Vancouver
Gerhard P. Fettweis
Affiliation:
Technische Universität, Dresden
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Summary

Introduction

In a cellular wireless network, most of the energy is consumed in the radio access network [1]. Over the last decades, a significant amount of research work has focused on spectrally efficient and reliable wireless communications techniques at the physical (PHY) layer. However, the interactions among the layers (e.g. PHY-layer, radio link layer, and network layer) in the transmission protocol stack have to be taken into account to minimize the overall energy-consumption [2] in a green wireless network. The success of such a green wireless technology can be measured by energy-efficient metrics at different levels from the physical to application layer [3]. Energy efficiency across the entire system or network exploiting the layer interactions is notwell understood and needs more attention. The joint optimization of the transmission scheduling and resource allocation (or management) at various layers is referred to as cross-layer optimization. Again, energy efficiency in wireless communications systems so far has primarily focused on uplink communication due to the miniaturized mobile terminals and their limited energy storage capabilities. However, with a significant portion of the wireless internet traffic being from powerhungry base stations to end user mobile devices, energy optimization in the downlink is most important for green radio networks. In this article, we present a cross-layer optimized downlink packet transmission scheduling technique for the realization of green radio networks.

After reviewing some related work on adaptive resource allocation in wireless networks, we discuss why cross-layer interaction, information exchange, and optimization are important for wireless networks, and more specifically, for green radio networks.

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Publisher: Cambridge University Press
Print publication year: 2012

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References

[1] J. He, et al., “Energy efficient architectures and techniques for green radio access networks,” in Proc. of 5th International ICST Conference on Communications and Networking, Beijing, China, Aug. 25–27, 2010, pp. 1–6.Google Scholar
[2] A., Dejonghe et al., “Green reconfigurable radio systems,” IEEE Signal Process. Mag., vol. 24, no. 3, pp. 91–101, May 2007.Google Scholar
[3] T., Chen, H., Kin, and Y., Yang, “Energy efficiency metrics for green wireless communications,” in Proc. of Wireless Communications and Signal Processing, Suzhou, Nov. 2010, pp. 1–6.Google Scholar
[4] A., Ephremides, “Energy concerns in wireless networks,” IEEE Wireless Commun. Mag., vol. 9, no. 4, pp. 48–59, Aug. 2002.Google Scholar
[5] R.A., Berry and R.G., Gallager, “Communication over fading channels with delay constraints,” IEEE Trans. Inf. Theory, vol. 48, pp. 1135–1149, May 2002.Google Scholar
[6] D., Rajan, A., Sabharwal, and B., Aazhang, “Outage behavior with delay and CSIT,” in Proc. of IEEE ICC'04, vol. 1, Paris, France, Jun. 20–24, 2004, pp. 578–582.Google Scholar
[7] Z. K. M., Ho, V. K. N., Lau, and R. S.-K., Cheng, “Cross-layer design of FDD-OFDM systems based on ACK/NAK feedbacks,” IEEE Trans. Inf. Theory, vol. 55, no. 10, pp. 4568–4584, Oct. 2009.Google Scholar
[8] M.H., Ngo and V., Krishnamurthy, “Optimality of threshold policies for transmission scheduling in correlated fading channels,” IEEE Trans. Commun., vol. 57, pp. 2474–2483, Aug. 2009.Google Scholar
[9] E., Uysal-Biyikoglu, A. E., Gamal, and B., Prabhakar, “Energy-efficient packet transmission over a wireless link,” IEEE/ACM Trans. Netw., vol. 10, pp. 487–499, Aug. 2002.Google Scholar
[10] A. J., Goldsmith and S. B., Wicker, “Design challenges for energy-constrained ad hoc wireless networks,” IEEE Wireless Commun. Mag., vol. 9, no. 4, pp. 8–27, Aug. 2002.Google Scholar
[11] A., Goldsmith and S.-G., Chua, “Variable-rate variable-power MQAM for fading channels,” IEEE Trans. Commun., vol. 45, pp. 1218–1230, Oct. 1997.Google Scholar
[12] A. K., Karmokar and V. K., Bhargava, “Performance of cross-layer optimal adaptive transmission techniques over diversity Nakagami-m fading channels,” IEEE Trans. Commun., vol. 57, pp. 3640–3652, Dec. 2009.Google Scholar
[13] M. L., Puterman, Markov Decision Processes: Discrete Stochastic Dynamic Programming. New York, NY: John Wiley & Sons, 1994.Google Scholar
[14] D. P., Bertsekas, Dynamic Programming and Optimal Control. 2nd ed. Belmont, MA: Athena Scientific, 2001.Google Scholar
[15] S., Boyd and L., Vandenberghe, Convex Optimization. Cambridge, UK: Cambridge University Press, 2004.Google Scholar
[16] E., Altman, Constrained Markov Decision Processes: Stochastic Modeling. London, UK: Chapman and Hall/CRC, 1999.Google Scholar
[17] A. K., Karmokar, D. V., Djonin, and V. K., Bhargava, “POMDP-based coding rate adaptation for type-i hybrid ARQ systems over fading channels with memory,” IEEE Trans. Wireless Commun., vol. 5, pp. 3512–3523, Dec. 2006.Google Scholar
[18] G., Miao et al., “Cross-layer optimization for energy-efficient wireless communications: a survey,” Wiley Wireless Communications and Mobile Computing, vol. 9, no. 4, pp. 529–542, Apr. 2009.Google Scholar
[19] S., Liu et al., “A25 Gb/s(/km2) urban wireless network beyond IMT-advanced,” IEEE Commun. Mag., vol. 49, no. 2, pp. 122–129, Feb. 2011.Google Scholar
[20] L., Dong, A. P., Petropulu, and H. V., Poor, “Weighted cross-layer cooperative beamforming for wireless networks,” IEEE Trans. Signal Process., vol. 57, no. 8, pp. 3240–3252, Sep. 2010.Google Scholar
[21] H., Kim et al., “A cross-layer approach to energy efficiency for adaptive MIMO systems exploiting spare capacity,” IEEE Trans. Wireless Commun., vol. 8, no. 8, pp. 4264–4275, Aug. 2009.Google Scholar
[22] G., Li, P., Fan, and K. B., Letaief, “Rayleigh fading networks: a cross-layer way,” IEEE Trans. Commun., vol. 57, no. 2, pp. 520–529, Feb. 2009.Google Scholar
[23] D. J., Dechene and A., Shami, “Energy efficient quality of service traffic scheduler for MIMO downlink SVD channels,” IEEE Trans. Wireless Commun., vol. 9, no. 12, pp. 3750–3761, Dec. 2010.Google Scholar
[24] X.-H., Lin, Y.-K., Kwok, and H., Wang, “Cross-layer design for energy efficient communication in wireless sensor networks,” Wiley Wireless Communications and Mobile Computing, vol. 9, no. 2, pp. 251–268, Feb. 2009.Google Scholar
[25] H., Cheng and Y.-D., Yao, “Link optimization for energy-constrained wireless networks with packet retransmissions,” Wiley Wireless Communications and Mobile Computing, vol. doi: 10.1002/wcm.996.
[26] Q., Bai and J. A., Nossek, “On energy efficient cross-layer assisted resource allocation in multiuser multicarrier systems,” in Proc. of IEEE PIMRC'09, Sep. 13–16, 2009, pp. 2603–2607.Google Scholar
[27] J., Gong, S., Zhou, and Z., Niu, “Queuing on energy-efficient wireless transmissions with adaptive modulation and coding,” in Proc. of IEEE ICC'11, Kyoto, Japan, Jun. 2011, pp. 1–5.Google Scholar
[28] H., Kim, H., Lee, and S., Lee, “A cross-layer optimization for energy-efficient MAC protocol with delay and rate constraints,” in Proc. of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2011, pp. 2336–2339.Google Scholar
[29] S., Buzzi, V., Massaro, and H. V., Poor, “Energy-efficient resource allocation in multipath cdma channels with band-limited waveforms,” IEEE Trans. Signal Process., vol. 57, no. 4, pp. 1494–1510, Apr. 2009.Google Scholar
[30] S., Buzzi and D., Saturnino, “Agame-theoretic approach to energy-efficient power control and receiver design in cognitive CDMA wireless networks,” IEEE Journal of Selected Topics in Signal Processing, vol. 5, no. 1, pp. 137–150, Jan. 2011.Google Scholar
[31] F., Meshkati et al., “Energy-efficient resource allocation in wireless networks with quality-of-service constraints,” IEEE Trans. Commun., vol. 57, no. 11, pp. 3406–3414, Nov. 2009.Google Scholar
[32] H.-J., Lee and J.-T., Lim, “Cross-layer congestion control for power efficiency over wireless multihop networks,” IEEE Trans. Veh. Technol., vol. 58, no. 9, pp. 5274–5278, Sep. 2009.Google Scholar
[33] L., Lin, X., Lin, and N. B., Shroff, “Low-complexity and distributed energy minimization in multihop wireless networks,” IEEE/ACM Trans. Netw., vol. 18, no. 2, pp. 501–514, Feb. 2010.Google Scholar
[34] L., Benacem and S. D., Blostein, “Raptor-network coding strategies for energy efficient cooperative DVB-H multimedia communications,” in Proc. of 2010 International Conference on Green Circuits and Systems (ICGCS), 2010, pp. 527–532.Google Scholar
[35] S., Hong, Y., Won, and D. I., Kim, “Significance-aware channel power allocation for wireless multimedia streaming,” IEEE Trans. Veh. Technol., vol. 59, no. 6, pp. 2861–2873, Jun. 2010.Google Scholar
[36] D., Chen, H., Jiy, and V. C. M., Leung, “Energy-efficient cross-layer enhancement of multimedia transmissions over cognitive radio relay networks,” in Proc. of IEEE WCNC'11, May 2011, pp. 856–861.Google Scholar
[37] M., Cheng, G., Xuan, and L., Cai, “Joint routing and link rate allocation under bandwidth and energy constraints in sensor networks,” IEEE Trans. Wireless Commun., vol. 8, no. 7, pp. 3770–3779, Jul. 2009.Google Scholar
[38] L., Shi and A. O., Fapojuwo, “TDMA scheduling with optimized energy efficiency and minimum delay in clustered wireless sensor networks,” IEEE Trans. Mobile Comput., vol. 9, no. 7, pp. 927–940, Jul. 2010.Google Scholar
[39] W., Wang et al., “On energy efficient encryption for video streaming in wireless sensor networks,” IEEE Trans. Multimedia, vol. 12, no. 5, pp. 417–426, Aug. 2010.Google Scholar
[40] M. C., Vuran and I. F., Akyildiz, “XLP: a cross-layer protocol for efficient communication in wireless sensor networks,” IEEE Trans. Mobile Comput., vol. 9, no. 11, pp. 1578–1591, Nov. 2010.Google Scholar
[41] L., Stabellini and J., Zander, “Energy-aware spectrum sensing in cognitive wireless sensor networks: a cross layer approach,” in Proc. of IEEE WCNC'10, Jul. 2010, pp. 1–6.Google Scholar
[42] Y., Chen, W., Yi, and Y., Yang, “Energy efficient cooperative communication for sensor networks: a cross-layer approach,” in Proc. of IEEE Consumer Communications and Networking Conference (CCNC), 2011, pp. 793–797.Google Scholar
[43] P., Pangun et al., “BREATH: an adaptive protocol for industrial control applications using wireless sensor networks,” IEEE Trans. Mobile Comput., vol. 10, no. 6, pp. 821–838, Jun. 2011.Google Scholar
[44] B., Tavli and W., Heinzelman, “Energy-efficient real-time multicast routing in mobile ad hoc networks,” IEEE Trans. Comput., vol. 60, no. 5, pp. 707–722, May 2011.Google Scholar
[45] J. T., Chiang and Y.-C., Hu, “Cross-layer jamming detection and mitigation in wireless broadcast networks,” IEEE/ACM Trans. Netw., vol. 19, no. 1, pp. 286–298, Jan. 2011.Google Scholar
[46] D., Triantafyllopoulou et al., “E-CLEMA: A cross-layer design for improved quality of service in mobile WiMAX networks,” Wiley Wireless Communications and Mobile Computing, vol. 9, no. 9, pp. 1274–1286, Sep. 2009.Google Scholar
[47] S.-L., Tsao and C.-H., Huang, “An energy-efficient transmission mechanism for VoIP over IEEE 802.11 WLAN,” Wiley Wireless Communications and Mobile Computing, vol. 9, no. 12, pp. 1629–1644, Dec. 2009.Google Scholar
[48] E., Reusens et al., “Characterization of on-body communication channel and energy efficient topology design for wireless body area networks,” IEEE Transactions on Information Technology in Biomedicine, vol. 13, no. 6.
[49] C., Isheden, M., Klaus, and G., Fettweis, “Coolreader - an energy autonomous e-reader with broadband wireless connection,” in Proc. of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2010, pp. 1–5.Google Scholar
[50] G., Karakonstantis, G., Panagopoulos, and K., Roy, “HERQULES: system level cross-layer design exploration for efficient energy-quality trade-offs,” in Proc. of ACM/IEEE Low-Power Electronics and Design (ISLPED), 2010, pp. 117–122.Google Scholar
[51] P., Simoens et al., “Characterization of power consumption in thin clients due to protocol data transmission over IEEE 802.11,” in Proc. of 7th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOPT'09), 2009, pp. 1–7.Google Scholar

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