The Community for Technology Leaders
RSS Icon
Subscribe
Issue No.12 - Dec. (2012 vol.11)
pp: 2121-2132
Sinan Sinanović , University of Edinburgh, Edinburgh
Harald Burchardt , University of Edinburgh, Edinburgh
Harald Haas , University of Edinburgh, Edinburgh
Gunther Auer , DOCOMO Euro-Labs, Munich
ABSTRACT
The sum rate of spectrum-sharing in decentralized and self-organizing wireless networks is investigated in this paper. Such networks pose the following two fundamental challenges: 1) cochannel interference and 2) the hidden node problem. For a slotted shared wireless medium, where resources are partitioned into time-frequency slots, time-multiplexed receiver initiated busy burst (BB) transmissions solve these problems by establishing an exclusion region around an active receiver by means of receiver feedback. The size of this exclusion region is controlled by an interference threshold that determines whether a user is allowed to transmit on a specific time-frequency resource unit. We propose a novel approach for setting the interference thresholds based on a heuristic derived for a two-link network. First, for two-links, the optimum threshold value is derived that maximizes the sum rate. Second, for multiple links, the new heuristic threshold that only relies on locally available information is derived. It is demonstrated via simulations that heuristic thresholding achieves superior sum rate compared to a fixed system-wide threshold. To complement simulation results, an analytical approach is developed to approximate the probability density function (pdf) of the sum of the interferers in BB setting with fixed threshold with a cumulant-based shifted log normal fitting method.
INDEX TERMS
Interference, Receivers, Transmitters, Time frequency analysis, Wireless networks, Protocols, Approximation methods, algorithm/protocol design and analysis, Wireless communication
CITATION
Sinan Sinanović, Harald Burchardt, Harald Haas, Gunther Auer, "Sum Rate Increase via Variable Interference Protection", IEEE Transactions on Mobile Computing, vol.11, no. 12, pp. 2121-2132, Dec. 2012, doi:10.1109/TMC.2011.228
REFERENCES
[1] J. MitolaIII, “Cognitive Radio: An Integrated Agent Architecture for Software Defined Radio,” PhD dissertation, Royal Inst. of Technology (KTH), May 2000.
[2] C. Prehofer and C. Bettstetter, “Self-Organization in Communication Networks: Principles and Design Paradigms,” IEEE Comm. Magazine, vol. 43, no. 7, pp. 78-85, July 2005.
[3] S. Haykin, “Cognitive Radio: Brain-Empowered Wireless Communications,” IEEE J. Selected Areas in Comm., vol. 23, no. 2, pp. 201-220, Feb. 2005.
[4] J. Huang, R.A. Berry, and M.L. Honig, “Wireless Scheduling with Hybrid ARQ,” IEEE Trans. Wireless Comm., vol. 4, no. 6, pp. 2801-2810, Nov. 2005.
[5] Y. Xing, C.N. Mathur, M.A. Haleem, R. Chandramouli, and K.P. Subbalakshmi, “Dynamic Spectrum Access with QoS and Interference Temperature Constraints,” IEEE Trans. Mobile Computing, vol. 6, no. 4, pp. 423-433, Apr. 2007.
[6] A. Behzad and I. Rubin, “High Transmission Power Increases the Capacity of Ad-Hoc Wireless Networks,” IEEE Trans. Wireless Comm., vol. 5, no. 1, pp. 156-165, Jan. 2006.
[7] P. Gupta and P.R. Kumar, “The Capacity of Wireless Networks,” IEEE Trans. Information Theory, vol. 46, no. 2, pp. 388-404, Feb. 2000.
[8] A.B. MacKenzie and S.B. Wicker, “Game Theory and the Design of Self-Configuring, Adaptive Wireless Networks,” IEEE Comm. Magazine, vol. 39, no. 11, pp. 126-131, Nov. 2001.
[9] K. Balachandran, S.R. Kadaba, and S. Nanda, “Channel Quality Estimation and Rate Adaptation for Cellular Mobile Radio,” IEEE J. Selected Areas in Comm., vol. 17, no. 7, pp. 1244-1256, July 1999.
[10] P. Frenger, S. Parkvall, and E. Dahlman, “Performance Comparison of HARQ with Chase Combining and Incremental Redundancy for HSDPA,” Proc. IEEE VTS 54th Vehicular Technology Conf. (VTC '01), vol. 3, pp. 1829-1833, 2001.
[11] F.A. Tobagi and L. Kleinrock, “Packet Switching in Radio Channels: Part II—The Hidden Terminal Problem in Carrier Sense Multiple-Access and the Busy-Tone Solution,” IEEE Trans. Comm., vol. 23, no. 12, pp. 1417-1433, Dec. 1975.
[12] R. Zhao, B. Walke, and G. Hiertz, “An Efficient IEEE 802.11 ESS Mesh Network Supporting Quality-of-Service,” IEEE J. Selected Areas in Comm., vol. 24, no. 11, pp. 2005-2017, Nov. 2006.
[13] A. Ghasemi and E.S. Sousa, “Interference Aggregation in Spectrum-Sensing Cognitive Wireless Networks,” IEEE J. Selected Topics in Signal Processing, vol. 2, no. 1, pp. 41-56, Feb. 2008.
[14] Z.J. Haas and J. Deng, “Dual Busy Tone Multiple Access (DBTMA)-A Multiple Access Control Scheme for Ad Hoc Networks,” IEEE Trans. Comm., vol. 50, no. 6, pp. 975-985, June 2002.
[15] P.E. Omiyi and H. Haas, “Improving Time-Slot Allocation in Fourth Generation OFDM/TDMA TDD Radio Access Networks with Innovative Channel-Sensing,” Proc. Int'l Conf. Comm. (ICC), vol. 6, pp. 3133-3137, June 2004.
[16] P. Omiyi, H. Haas, and G. Auer, “Analysis of TDD Cellular Interference Mitigation Using Busy-Bursts,” IEEE Trans. Wireless Comm., vol. 6, no. 7, pp. 2721-2731, July 2007.
[17] A. Hasan and J.G. Andrews, “The Guard Zone in Wireless Ad Hoc Networks,” IEEE Trans. Wireless Comm., vol. 6, no. 3, pp. 897-906, Mar. 2007.
[18] R. Menon, R. Buehrer, and J. Reed, “On the Impact of Dynamic Spectrum Sharing Techniques on Legacy Radio Systems,” IEEE Trans. Wireless Comm., vol. 7, no. 11, pp. 4198-4207, Nov. 2008.
[19] K.L.Q. Read, “A Lognormal Approximation for the Collectors Problem,” Am. Statistician, vol. 52, no. 2, pp. 175-180, May 1998.
[20] B. Ghimire, G. Auer, and H. Haas, “Busy Bursts for Trading-Off Throughput and Fairness in Cellular OFDMA-TDD,” Eurasip J. Wireless Comm. and Networking, vol. 2009, article 10, 2009.
[21] Next Generation Mobile Access Technologies: Implementing TDD, H. Haas and S. McLaughlin, eds. Cambridge Univ., Jan. 2008.
[22] S. Sinanović, N. Serafimovski, H. Haas, and G. Auer, “Maximising the System Spectral Efficiency in a Decentralised 2-Link Wireless Network,” Eurasip J. Wireless Comm. and Networking, vol. 2008, article 24, 2008, doi:10.1155/2008/867959.
[23] D. Stoyan, W.S. Kendall, and J. Mecke, Stochastic Geometry and Its Applications, second ed. John Wiley and Sons, 1995.
[24] N.C. Beaulieu and Q. Xie, “An Optimal Lognormal Approximation to Lognormal Sum Distributions,” IEEE Trans. Vehicular Technology, vol. 53, no. 2, pp. 479-489, Mar. 2004.
[25] F. Rajwani and N.C. Beaulieu, “Accurate Simple Closed-Form Approximations to Distributions and Densities of Lognormal Sum Random Variables,” Proc. IEEE 60th Vehicular Technology Conf. (VTC '04), vol. 1, pp. 111-114, 2004.
[26] H. Nie and S. Chen, “Lognormal Sum Approximation with Type IV Pearson Distribution,” IEEE Comm. Letters, vol. 11, no. 10, pp. 790-792, Oct. 2007.
[27] Q.T. Zhang and S.H. Song, “A Systematic Procedure for Accurately Approximating Lognormal-Sum Distributions,” IEEE Trans. Vehicular Technology, vol. 57, no. 1, pp. 663-666, Jan. 2008.
[28] X. Gao, H. Xu, and D. Ye, “Asymptotic Behavior of Tail Density for Sum of Correlated Lognormal Variables,” Int'l J. Math. and Math. Sciences, vol. 2009, pp. 1-28, 2009.
9 ms
(Ver 2.0)

Marketing Automation Platform Marketing Automation Tool