Cognitive radio resource management in autonomous femtocell networks

doi:10.1017/CBO9781139061421.012

10 - Cognitive radio resource management in autonomous femtocell networks

Published online by Cambridge University Press: 05 May 2013

Kwang-Cheng Chen and

Shao-Yu Lien

Edited by

Tony Q. S. Quek ,

Guillaume de la Roche ,

İsmail Güvenç and

Marios Kountouris

Show author details

Kwang-Cheng Chen: Affiliation:
National Taiwan University
Shao-Yu Lien: Affiliation:
National Taiwan University
Tony Q. S. Quek: Affiliation:
Singapore University of Technology and Design
Guillaume de la Roche: Affiliation:
Mindspeed Technologies
İsmail Güvenç: Affiliation:
Florida International University
Marios Kountouris: Affiliation:
SUPÉLEC (Ecole Supérieure d'Electricité)

Book contents

Get access

Summary

Introduction

Because of the use of common radio resources in small cell networks [1, 2], destructive interference may occur not only between the femtocell and the macrocell, but also among femtocells whose coverage areas are highly overlapped with each other (collocated femtocells), as shown in Figure 10.1. To avoid interference, one typical solution is to divide the entire available spectrum into several frequency bands, and then each femtocell and the macrocell utilize different frequency bands from each other [3]. This deployment is referred to as “dedicated channel” deployment in 3rd Generation Partnership Project (3GPP) [4]. However, the performance of this solution is limited by the assigned bandwidth, which makes it infeasible for dense femtocell deployments where each femtocell can only utilize a very limited fraction of the bandwidth. An alternative solution is to adopt spatial domain frequency reuse [5]; however, this is infeasible for user deployed femtocells without centralized and perfect planning. As a result, a practical solution turns out to be “co-channel” deployment, where all femtocells and the macrocell can utilize all the available spectrum. To mitigate interference in co-channel deployment, dynamic power adaptation in femtocells has been proposed for code division multiple access (CDMA) systems [6-11] to combat interference due to the near–far problem. Considering that orthogonal frequency division multiple access (OFDMA) has been adopted by 3GPP LTE-Advanced (LTE-A) and wireless interoperability for microwave access (WiMAX), new interference mitigation techniques are needed [12]. In OFDMA, the major cause of interference is that multiple networks occupy the same radio resources (subcarriers and orthogonal frequency division multiplexing (OFDM) symbols) simultaneously.

Information

Type: Chapter
Information: Small Cell Networks
Deployment, PHY Techniques, and Resource Management
, pp. 246 - 259

DOI: https://doi.org/10.1017/CBO9781139061421.012 [Opens in a new window]

Publisher: Cambridge University Press

Print publication year: 2013

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Book purchase

Temporarily unavailable

References

[1] 3GPP TS36.300 V11.2.0, “Evolved universal terrestrial radio access (E-UTRA) and evolved universal terrestrial radio access network (E-UTRAN),” in (Release 11), July 2012.

[2] IEEE Std 802.16-2009, “IEEE standard for local and metropolitan area networks part 16: air interface for broadband wireless access systems,” in revision of IEEE Std 802.16-2004, May 2009.

[3] V., Chandrasekhar and J. G., Andrews, “Spectrum allocation in two-tier networks,” IEEE Trans. Commun., vol. 57, no. 10, pp. 3059–68, Oct. 2009.Google Scholar

[4] 3GPP TR25.967 V10.0.0, “Home node B radio frequency (RF) requirements (FDD),” in (Release 10), Apr. 2011.

[5] I., Guvenc, M.-R., Jeong, F., Watanabe, and H., Inamura, “A hybrid frequency assignment for femtocells and coverage area analysis for co-channel operation,” IEEE Commun. Lett., vol. 12, no. 12, pp. 880–2, Dec. 2008.Google Scholar

[6] V., Chandrasekhar, J. G., Andrews, T., Muharemovic, Z., Shen, and A., Gatherer, “Power control in two-tier femtocell networks,” IEEE Trans. Wireless Commun., vol. 8, no. 8, pp. 4316–28, Aug. 2009.Google Scholar

[7] X., Li, L., Qian, and D., Kataria, “Downlink power control in co-channel macrocell femtocell overlay,” in Proc. Conf. on Information Sciences and Systems (CISS), Mar. 2009, pp. 383–8.Google Scholar

[8] H.-S., Jo, J.-G., Yook, C., Mun, and J., Moon, “A self-organized uplink power control for crosstier interference management in femtocell networks,” in Proc. IEEE Military Communication Conf. (MILCOM), Nov. 2008.Google Scholar

[9] N., Arulselvan, V., Ramachandran, and S., Kalyanasundaram, “Distributed power control mechanism for HSDPA femtocells,” in Proc. IEEE Vehicular Tech. Conf. (VTC), Apr. 2009.Google Scholar

[10] H.-S., Jo, C., Mu, J., Moon, and J.-G., Yook, “Interference mitigation using uplink power control for two-tier femtocell networks,” IEEE Trans. Wireless Commun., vol. 8, no. 10, pp. 4906–10, Oct. 2009.Google Scholar

[11] V., Chandrasekhar and J. G., Andrews, “Uplink capacity and interference avoidance for twotier femtocell networks,” IEEE Trans. Wireless Commun., vol. 8, no. 7, pp. 3498–509, July 2009.Google Scholar

[12] D., López-Pérez, A., Valcarce, G., de la Roche, and J., Zhang, “OFDMA femtocells: a roadmap on interference avoidance,” IEEE Commun. Mag., vol. 47, no. 9, pp. 41–8, Sep. 2009.Google Scholar

[13] K., Sundaresan and S., Rangarajan, “Efficient resource management in OFDMA femtocells,” in ACM International Symposium on Mobile Ad Hoc Networking and Computing, New Orleans, USA, May 2009, pp. 33–42.Google Scholar

[14] D. N., Knisely, T., Toshizawa, and F., Favichia, “Standardization of femtocells in 3GPP,” IEEE Commun. Mag., vol. 47, no. 9, pp. 68–75, Sep. 2009.Google Scholar

[15] R., Srinivasan, J., Zhuang, L., Jalloul, R., Novak, and J., Park. (2008) IEEE 802.16m evaluation methodology document (EMD).

[16] 3GPP TS36.814 V9.0.0, “Further advancements for E-UTRA physical layer aspects,” in (Release 9), Mar. 2010.

[17] K. C., Chen and R., Prasad, Cognitive Radio Networks. John Wiley & Sons, 2009.Google Scholar

[18] S.-Y., Lien, C.-C., Tseng, and K.-C., Chen, “Carrier sensing based multiple access protocols for cognitive radio networks,” in Proc. IEEE Int. Conf. on Commun. (ICC), May 2008.Google Scholar

[19] S.-Y., Lien, C.-C., Tseng, and K.-C., Chen, “Novel rate-distance adaptation of multiple access protocols in cognitive radio,” in Proc. IEEE Int. Symp. Personal, Indoor, Mobile Radio Commun. (PIMRC), Sep. 2007.Google Scholar

[20] S.-Y., Lien, N. R., Prasad, K.-C., Chen, and C.-W., Su, “Providing statistical quality-of-service guarantees in cognitive radio networks with cooperation,” in Proc. Wireless ViTAE, May 2009.Google Scholar

[21] S.-Y., Lien, C.-C., Tseng, K.-C., Chen, and C.-W., Su, “Cognitive radio resource management for QoS guarantees in autonomous femtocell networks,” in Proc. IEEE Int. Conf. on Commun. (ICC), May 2010.Google Scholar

[22] S.-Y., Lien, Y.-Y., Lin, and K.-C., Chen, “Cognitive and game-theoretical radio resource management for autonomous femtocells with QoS guarantees,” IEEE Trans. Wireless Commun., vol. 10, no. 7, pp. 2196–206, July 2011.Google Scholar

[23] S.-M., Cheng, S.-Y., Lien, F.-S., Chu, and K.-C., Chen, “On exploiting cognitive radio to mitigate interference in macro/femto heterogeneous networks,” IEEE Wireless Commun. Mag., vol. 18, no. 3, pp. 40–7, June 2011.Google Scholar

[24] D., Wu and R., Negi, “Effective capacity: a wireless link model for support of quality of service,” IEEE Trans. Wireless Commun., vol. 12, no. 4, pp. 630–43, July 2003.Google Scholar

[25] A. J., Goldsmith and S.-G., Chua, “Variable-rate variable-power MQAM for fading channels,” IEEE Trans. Commun., vol. 45, no. 10, pp. 1218–30, Oct. 1997.Google Scholar

[26] C.-S., Chang, “Stability, queue length, and delay of deterministic and stochastic queueing networks,” IEEE Trans. Autom. Control, vol. 39, no. 5, pp. 913–31, May 1994.Google Scholar

[27] C., Courcoubetis and R., Weber, “Effective bandwidth for stationary sources,” Probab. Eng. Inform. Sci., vol. 9, no. 2, pp. 285–94, 1995.Google Scholar

[28] J., Tang and X., Zhang, “Cross-layer modeling for quality of service guarantees over wireless links,” IEEE Trans. Wireless Commun., vol. 6, no. 12, pp. 4505–12, Dec. 2007.Google Scholar

[29] C.-S., Chang, Performance Guarantees in Communication Networks. Springer, 2000.Google Scholar

[30] Institute for Information Industry and Coiler Corporation, “R4-093196: Interference mitigation for HeNB by channel measurements,” in 3GPP TSG RAN WG4 Meeting 52, 2009.

[31] D., Wu and R., Negi, “Utilizing multiuser diversity for efficient support of quality of service over a fading channel,” IEEE Trans. Veh. Technol., vol. 54, no. 3, pp. 1198–206, May 2005.Google Scholar

[32] J., Tang and X., Zhang, “Cross-layer-model based adaptive resource allocation for statistical QoS guarantees in mobile wireless networks,” IEEE Trans. Wireless Commun., vol. 7, no. 6, pp. 2318–28, June 2008.Google Scholar

[33] S.-W., Lei and V. K. N., Lau, “Performance analysis of adaptive interleaving for OFDM systems,” IEEE Trans. Veh. Technol., vol. 51, no. 3, pp. 435–44, May 2002.Google Scholar

[34] [Online]. Available: http://www.tkn.tu-berlin.de/research/trace/trace.html

Accessibility standard: Unknown

Accessibility compliance for the PDF of this book is currently unknown and may be updated in the future.