Skip to main content Accessibility help
×
Hostname: page-component-78c5997874-8bhkd Total loading time: 0 Render date: 2024-11-03T02:23:25.175Z Has data issue: false hasContentIssue false

12 - Resource allocation optimization in heterogeneous wireless networks

Published online by Cambridge University Press:  05 May 2013

Chee Wei Tan
Affiliation:
City University of Hong Kong
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)
Get access

Summary

Introduction

Wireless cellular networks are designed to provide network coverage over large areas and support many users. Most recently, studies in 3GPP LTE-advanced have looked at the deployment of heterogeneous wireless networks to improve system performance as well as to enhance network coverage, especially in-building coverage [1–6]. Heterogeneous wireless networks use a mix of higher tier macrocells to extend network reach and lower tier small cells to enhance performance within the same frequency band [1–6]. These smaller cells offload the traffic from the macrocells and connect the traffic to the cellular core network via broadband access networks. However, as user-installed small cells (femtocells) are often deployed in an ad hoc manner, this gives rise to the problem of interference between cells. For example, amacrocell with a femtocell or a femtocell with another femtocell. New resource allocation techniques are required to ensure that the users control their power to mitigate performance loss due to interference. To enhance decentralized deployment, users also need to adapt their power with minimal signaling overhead [1, 2]. For example, users in femtocell can use digital subscriber line (DSL) or cable modem to exchange messages through the cellular core network to adjust their transmit powers to reduce the interference caused to the macrocell users.

Type
Chapter
Information
Small Cell Networks
Deployment, PHY Techniques, and Resource Management
, pp. 280 - 310
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.)

References

[1] M., Yavuz, F., Meshkati, S., Nanda, A., Pokhariyal, N., Johnson, B., Raghothaman, and A., Richardson, “Interference management and performance analysis of UMTS/HSPA+ femtocells,” IEEE Commun. Mag., vol. 47, no. 9, pp. 102–9, Sep. 2009.Google Scholar
[2] R., Madan, J., Borran, A., Sampath, N., Bhushan, A., Khandekar, and T., Ji, “Cell association and interference coordination in heterogeneous LTE-A cellular networks,” IEEE J. Sel. Areas Commun. (JSAC), vol. 28, no. 9, pp. 1479–89, Dec. 2010.Google Scholar
[3] S., Rangan and R., Madan, “Belief propagation methods for intercell interference coordination in femtocell networks,” IEEE J. Sel. Areas Commun. (JSAC), vol. 30, no. 3, pp. 631–40, Apr. 2012.Google Scholar
[4] W. C., Cheung, T. Q. S., Quek, and M., Kountouris, “Throughput optimization, spectrum allocation, and access control in two-tier femtocell networks,” IEEE J. Sel. Areas Commun. (JSAC), vol. 30, no. 3, pp. 561–74, Apr. 2012.Google Scholar
[5] K. R., Krishnan and H., Luss, “Power selection for maximizing SINR in femtocells for specified SINR in macrocell,” Proc. IEEE Wireless Commun. Networking Conf. (WCNC), Mar. 2011.Google Scholar
[6] C. W., Tan, “Optimal power control in Rayleigh-fading heterogeneous networks,” Proc. IEEE Int. Conf. on Computer Commun. (INFOCOM), Apr. 2011.Google Scholar
[7] S., Shakkottai and R., Srikant, “Network optimization and control,” Found. Trends Network., vol. 2, no. 3, pp. 271–379, 2007.Google Scholar
[8] X., Lin, N. B., Shroff, and R., Srikant, “A tutorial on cross-layer optimization in wireless networks,” IEEE J. Sel. Areas Commun. (JSAC), vol. 24, no. 8, pp. 1452–63, Aug. 2006.Google Scholar
[9] M., Chiang, P., Hande, T., Lan, and C. W., Tan, “Power control in wireless cellular networks,” Found. Trends Network., vol. 2, no. 4, pp. 381–533, 2008.Google Scholar
[10] M., Chiang, S. H., Low, A. R., Calderbank, and J. C., Doyle, “Layering as optimization decomposition: A mathematical theory of network architectures,” IEEE Proceedings, vol. 95, no. 1, pp. 255–312, Jan. 2007.Google Scholar
[11] D. N. C., Tse and P., Viswanath, Fundamentals of Wireless Communication, 1st edn. Cambridge: Cambridge University Press, 2005.Google Scholar
[12] H., Kobayashi, B. L., Mark, and W., Turin, Probability, Random Processes, and Statistical Analysis: Applications to Communications, Signal Processing, Queueing Theory, and Mathematical Finance. Cambridge: Cambridge University Press, 2012.Google Scholar
[13] S., Jagannathan, M., Zawodniok, and Q., Shang, “Distributed power control of cellular networks in the presence of Rayleigh fading channel,” Proc. IEEE Int. Conf. on Computer Commun. (INFOCOM), Mar. 2004.Google Scholar
[14] V., Chandrasekhar and J. G., Andrews, “Uplink capacity and interference avoidance for two-tier femtocell networks,” IEEE Trans. Wireless Commun., vol. 8, no. 7, pp. 3498–509, July 2009.Google Scholar
[15] S. V., Hanly, L. H., Andrew, and T., Thanabalasingham, “Dynamic allocation of subcarriers and transmit powers in an OFDMA cellular network,” IEEE Trans. Inf. Theory, vol. 55, no. 12, pp. 5445–62, 2009.Google Scholar
[16] S., Kandukuri and S., Boyd, “Optimal power control in interference-limited fading wireless channels with outage-probability specifications,” IEEE Trans. Wireless Commun., vol. 1, no. 1, pp. 46–55, Jan. 2002.Google Scholar
[17] J., Papandriopoulos, J., Evans, and S., Dey, “Optimal power control for Rayleigh-faded multiuser systems with outage constraints,” IEEE Trans. Wireless Commun., vol. 4, no. 6, pp. 2705–15, Nov. 2005.Google Scholar
[18] M., Chiang, C. W., Tan, D. P., Palomar, D., O'Neill, and D., Julian, “Power control by geometric programming,” IEEE Trans. Wireless Commun., vol. 6, no. 7, pp. 2640–51, July 2007.Google Scholar
[19] V. D., Blondel, L., Ninove, and P. V., Dooren, “An affine eigenvalue problem on the nonnegative orthant,” Linear Algebra and its Applications, vol. 404, pp. 69–84, 2005.Google Scholar
[20] U., Krause, “Concave Perron-Frobenius theory and applications,” Nonlinear Anal., vol. 47, no. 2001, pp. 1457–66, 2001.Google Scholar
[21] C. W., Tan, M., Chiang, and R., Srikant, “Fast algorithms and performance bounds for sum rate maximization in wireless networks,” Proc. IEEE Int. Conf. on Computer Commun. (INFOCOM), Apr. 2009.Google Scholar
[22] S., Friedland and S., Karlin, “Some inequalities for the spectral radius of non-negative matrices and applications,” Duke Math. J., vol. 42, no. 3, pp. 459–90, Sep. 1975.Google Scholar
[23] C. W., Tan, S., Friedland, and S. H., Low, “Nonnegative matrix inequalities and their application to nonconvex power control optimization,” SIAM J. Matrix Anal. A., vol. 32, no. 3, pp. 1030–55, 2011.Google Scholar
[24] C. W., Tan, “Spectrum management in multiuser cognitive wireless networks: optimality and algorithm,” IEEE J. Sel. Areas Commun. (JSAC), vol. 29, no. 2, pp. 421–30, Feb. 2011.Google Scholar
[25] E., Seneta, Non-negative Matrices and Markov Chains, 2nd edn. Springer, 2006.Google Scholar
[26] C. W., Tan, M., Chiang, and R., Srikant, “Maximizing sum rate and minimizing MSE on multiuser downlink: optimality, fast algorithms and equivalence via max-min SINR,” IEEE Trans. Signal Process., vol. 59, no. 12, pp. 6127–43, Dec. 2011.Google Scholar
[27] Y. D., Yao and A., Sheikh, “Investigations into cochannel interference in microcellular mobile radio systems,” IEEE Trans. Veh. Technol., vol. 41, no. 2, pp. 114–23, May 1992.Google Scholar
[28] S., Boyd and L., Vanderberghe, Convex Optimization. Cambridge: Cambridge University Press, 2004.Google Scholar
[29] D. P., Bertsekas and J. N., Tsitsiklis, Parallel and Distributed Computation: Numerical Methods. Englewood Cliffs, NJ: Prentice Hall, 1989.Google Scholar
[30] U., Krause, “A local—global stability principle for discrete systems and difference equations,” Proc. 6th Int. Conf. on Difference Equations (2001), vol. CRC Press, pp. 167–80, 2004.Google Scholar
[31] S., Boyd, A., Ghosh, B., Prabhakar, and D., Shah, “Randomized gossip algorithms,” IEEE Trans. Inf. Theory, vol. 52, no. 6, pp. 2508–30, June 2006.Google Scholar
[32] G. J., Foschini and Z., Miljanic, “A simple distributed autonomous power control algorithm and its convergence,” IEEE Trans. Veh. Technol., vol. 42, no. 4, pp. 641–6, Nov. 1993.Google Scholar
[33] D. W. H., Cai, T. Q. S., Quek, and C. W., Tan, “A unified analysis of max–min weighted SINR for MIMO downlink system,” IEEE Trans. Signal Process., vol. 59, no. 8, pp. 3850–62, Aug. 2011.Google Scholar
[34] D. W. H., Cai, T. Q. S., Quek, and C. W., Tan, “Coordinated max–min SIR optimization in multicell downlink – duality and algorithm,” Proc. IEEE Int. Conf. on Commun. (ICC), June 2011.Google Scholar
[35] L., Zheng and C. W., Tan, Cognitive Radio Network Duality and Algorithms for Utility Maximization, IEEE Journal on Selected Areas in Communications, vol. 31, no. 3, Mar. 2013.Google Scholar
[36] Y., Huang, C. W., Tan, and B. D., Rao, “Asymptotic analysis of max–min weighted SINR in multiuser downlink,” Proc. Conf. on Information Sciences and Systems (CISS), Mar. 2012.Google Scholar
[37] D. W. H., Cai, C. W., Tan, and S. H., Low, “Optimal max–min fairness rate control in wireless networks: Perron–Frobenius characterization and algorithms,” Proc. IEEE Int. Conf. on Computer Commun. (INFOCOM), Mar. 2012.Google Scholar

Save book to Kindle

To save this book to your Kindle, first ensure [email protected] is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.

Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

Available formats
×

Save book to Dropbox

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Dropbox.

Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

Available formats
×