Price-based interference management in dense femtocell systems
SUMMARY Femtocell technology has been drawing considerable attention as a cost‐effective means of improving cellular coverage and capacity. However, under co‐channel deployment, femtocell system in dense environment may incur high uplink interference to existing macrocells and experiences strong int...
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| Published in | International journal of communication systems Vol. 28; no. 1; pp. 19 - 37 |
|---|---|
| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
Chichester
Blackwell Publishing Ltd
10.01.2015
Wiley Subscription Services, Inc |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1074-5351 1099-1131 |
| DOI | 10.1002/dac.2636 |
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| Abstract | SUMMARY
Femtocell technology has been drawing considerable attention as a cost‐effective means of improving cellular coverage and capacity. However, under co‐channel deployment, femtocell system in dense environment may incur high uplink interference to existing macrocells and experiences strong inter‐cell interference at the same time. To manage the uplink interference to macrocell, as well as the inter‐cell interference, this paper proposes a price‐based uplink interference management scheme for dense femtocell systems. Specifically, on the one hand, to guarantee the macrocell users' quality of service, the macrocell base station prices the interference from femtocell users (FUEs) subject to a maximum tolerable interference power constraint. On the other hand, the inter‐cell interference is also taken into consideration. Moreover, a Stackelberg game model is adopted to jointly study the utility maximization of the macrocell base station and FUEs. Then, in order to reduce the amount of information exchange, we design a distributed power allocation algorithm for FUEs. In addition, admission control is adopted to protect the active FUEs' performance. Numerical results show that the price‐based interference management scheme is effective. Meanwhile, it is shown that the distributed power allocation combined with admission control is capable of robustly protecting the performance of all the active FUEs. Copyright © 2013 John Wiley & Sons, Ltd.
In this paper, we investigate a price‐based interference management scheme for dense femtocell systems, where the MBS controls the transmission powers of FUEs by pricing their resulted interference power levels at the MBS subject to a maximum tolerable interference margin. It is formulated as a Stackelberg game to jointly maximize the revenue of the MBS and the individual utilities of FUEs. Moreover, a joint distributed power allocation and admission control algorithm that requires minimal network information exchange between the MBS and FBSs is developed. |
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| AbstractList | SUMMARY Femtocell technology has been drawing considerable attention as a cost-effective means of improving cellular coverage and capacity. However, under co-channel deployment, femtocell system in dense environment may incur high uplink interference to existing macrocells and experiences strong inter-cell interference at the same time. To manage the uplink interference to macrocell, as well as the inter-cell interference, this paper proposes a price-based uplink interference management scheme for dense femtocell systems. Specifically, on the one hand, to guarantee the macrocell users' quality of service, the macrocell base station prices the interference from femtocell users (FUEs) subject to a maximum tolerable interference power constraint. On the other hand, the inter-cell interference is also taken into consideration. Moreover, a Stackelberg game model is adopted to jointly study the utility maximization of the macrocell base station and FUEs. Then, in order to reduce the amount of information exchange, we design a distributed power allocation algorithm for FUEs. In addition, admission control is adopted to protect the active FUEs' performance. Numerical results show that the price-based interference management scheme is effective. Meanwhile, it is shown that the distributed power allocation combined with admission control is capable of robustly protecting the performance of all the active FUEs. Copyright © 2013 John Wiley & Sons, Ltd. Femtocell technology has been drawing considerable attention as a cost‐effective means of improving cellular coverage and capacity. However, under co‐channel deployment, femtocell system in dense environment may incur high uplink interference to existing macrocells and experiences strong inter‐cell interference at the same time. To manage the uplink interference to macrocell, as well as the inter‐cell interference, this paper proposes a price‐based uplink interference management scheme for dense femtocell systems. Specifically, on the one hand, to guarantee the macrocell users' quality of service, the macrocell base station prices the interference from femtocell users (FUEs) subject to a maximum tolerable interference power constraint. On the other hand, the inter‐cell interference is also taken into consideration. Moreover, a Stackelberg game model is adopted to jointly study the utility maximization of the macrocell base station and FUEs. Then, in order to reduce the amount of information exchange, we design a distributed power allocation algorithm for FUEs. In addition, admission control is adopted to protect the active FUEs' performance. Numerical results show that the price‐based interference management scheme is effective. Meanwhile, it is shown that the distributed power allocation combined with admission control is capable of robustly protecting the performance of all the active FUEs. Copyright © 2013 John Wiley & Sons, Ltd. SUMMARY Femtocell technology has been drawing considerable attention as a cost‐effective means of improving cellular coverage and capacity. However, under co‐channel deployment, femtocell system in dense environment may incur high uplink interference to existing macrocells and experiences strong inter‐cell interference at the same time. To manage the uplink interference to macrocell, as well as the inter‐cell interference, this paper proposes a price‐based uplink interference management scheme for dense femtocell systems. Specifically, on the one hand, to guarantee the macrocell users' quality of service, the macrocell base station prices the interference from femtocell users (FUEs) subject to a maximum tolerable interference power constraint. On the other hand, the inter‐cell interference is also taken into consideration. Moreover, a Stackelberg game model is adopted to jointly study the utility maximization of the macrocell base station and FUEs. Then, in order to reduce the amount of information exchange, we design a distributed power allocation algorithm for FUEs. In addition, admission control is adopted to protect the active FUEs' performance. Numerical results show that the price‐based interference management scheme is effective. Meanwhile, it is shown that the distributed power allocation combined with admission control is capable of robustly protecting the performance of all the active FUEs. Copyright © 2013 John Wiley & Sons, Ltd. In this paper, we investigate a price‐based interference management scheme for dense femtocell systems, where the MBS controls the transmission powers of FUEs by pricing their resulted interference power levels at the MBS subject to a maximum tolerable interference margin. It is formulated as a Stackelberg game to jointly maximize the revenue of the MBS and the individual utilities of FUEs. Moreover, a joint distributed power allocation and admission control algorithm that requires minimal network information exchange between the MBS and FBSs is developed. Femtocell technology has been drawing considerable attention as a cost-effective means of improving cellular coverage and capacity. However, under co-channel deployment, femtocell system in dense environment may incur high uplink interference to existing macrocells and experiences strong inter-cell interference at the same time. To manage the uplink interference to macrocell, as well as the inter-cell interference, this paper proposes a price-based uplink interference management scheme for dense femtocell systems. Specifically, on the one hand, to guarantee the macrocell users' quality of service, the macrocell base station prices the interference from femtocell users (FUEs) subject to a maximum tolerable interference power constraint. On the other hand, the inter-cell interference is also taken into consideration. Moreover, a Stackelberg game model is adopted to jointly study the utility maximization of the macrocell base station and FUEs. Then, in order to reduce the amount of information exchange, we design a distributed power allocation algorithm for FUEs. In addition, admission control is adopted to protect the active FUEs' performance. Numerical results show that the price-based interference management scheme is effective. Meanwhile, it is shown that the distributed power allocation combined with admission control is capable of robustly protecting the performance of all the active FUEs. Copyright copyright 2013 John Wiley & Sons, Ltd. In this paper, we investigate a price-based interference management scheme for dense femtocell systems, where the MBS controls the transmission powers of FUEs by pricing their resulted interference power levels at the MBS subject to a maximum tolerable interference margin. It is formulated as a Stackelberg game to jointly maximize the revenue of the MBS and the individual utilities of FUEs. Moreover, a joint distributed power allocation and admission control algorithm that requires minimal network information exchange between the MBS and FBSs is developed. |
| Author | Wang, Xiaocheng Guan, Xinping Ma, Kai Han, Qiaoni |
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| Cites_doi | 10.1109/26.983324 10.1109/VETECS.2010.5493950 10.1109/wicom.2011.6036721 10.1002/dac.1152 10.1002/dac.2398 10.1109/GLOCOM.2010.5683278 10.1109/TWC.2010.070910.090251 10.1109/TWC.2009.080457 10.1109/TWC.2009.070475 10.1145/1859995.1860003 10.1002/bltj.20292 10.1109/TWC.2009.081386 10.1109/JSAC.2011.110415 10.1109/GLOCOM.2011.6134218 10.1109/MCOM.2009.5277454 10.1109/TIT.2009.2030449 10.1109/TWC.2012.012712.110073 10.1109/TVT.2010.2040492 10.1109/PIMRCW.2010.5670358 10.1109/JSAC.2012.120404 10.1109/WTS.2008.4547576 10.1109/MCOM.2008.4623708 |
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| References | Jo HS, Mun C, Moon J, Yook JG. Interference mitigation using uplink power control for two-tier femtocell networks. IEEE Transactions on Wireless Communications 2009; 8(10):4906-4910. Yu H, Gao L, Li Z, Wang XB, Hossain E. Pricing for uplink power control in cognitive radio networks. IEEE Transactions on Vehicular Technology 2010; 59(4):1769-1778. Ngo DT, Le LB, Tho LN, Hossain E, Kim DI. Distributed interference management in two-tier CDMA femtocell networks. IEEE Transactions on Wireless Communications 2012; 11(3):979-989. Kim Y, Lee S, Hong D. Performance analysis of two-tier femtocell networks with outage constraints. IEEE Transactions on Wireless Communications 2010; 9(9):2695-2700. Saraydar CU, Mandayam NB, Goodman DJ. Efficient power control via pricing in wireless data networks. IEEE Transactions on Communications 2002; 50(2):291-303. Kang X, Zhang R, Motani M. Price-based resource allocation for spectrum-sharing femtocell networks: a Stackelberg game approach. IEEE Journal on Selected Areas in Communications 2012; 30(3):538-549. Alavi SM, Zhou C. Resource allocation scheme for orthogonal frequency division multiple access networks based on cooperative game theory. International Journal of Communication Systems 2012; DOI: 10.1002/dac.2398. Chandrasekhar V, Andrews JG, Gatherer A. Femtocell networks: a survey. IEEE Communications Magazine 2008; 46(9):59-67. LopezPerez D, Valcarce A, DelaRoche G, Zhang J. OFDMA femtocells: a roadmap on interference avoidance. IEEE Communications Magazine 2009; 47(9):41-48. Chandrasekhar V, Andrews JG. Uplink capacity and interference avoidance in two-tier femtocell networks. IEEE Transactions on Wireless Communications 2009; 8(7):3498-3509. Chandrasekhar V, Andrews JG, Muharemovic T, Shen Z, Gatherer A. Power control in two-tier femtocell networks. IEEE Transactions on Wireless Communications 2009; 8(8):4316-4328. Gao L, Wang XB, Xu YY, Zhang Q. Spectrum trading in cognitive radio networks: a contract-theoretic modeling approach. IEEE Journal on Selected Areas in Communications 2011; 29(4):843-855. Saraydar CU, Mandayam NB, Goodman DJ. Efficient power control via pricing in wireless data networks, IEEE Transactions on Wireless Communications 2002; 50 (2):291-303. Zhang R, Cui SG, Liang YC. On ergodic sum capacity of fading cognitive multiple-access and broadcast channels. IEEE Transactions on Information Theory 2009; 55(11):5161-5178. H von Stackelberg. The Theory of the Market Economy. Oxford University Press: Oxford, 1952. Didem G, Fatih A. Genetic algorithm-based scheduling in cognitive radio networks under interference temperature constraints. International Journal of Communication Systems 2011; 24(2):239-25. Claussen H, Ho LTW, Samuel LG. An overview of the femtocell concept. Bell Labs Technical Journal 2008; 13(1):221-245. 2009; 55 2009; 47 2010; 59 2012 2011 2010 2002; 50 2008 1952 2008; 13 2008; 46 2009; 8 2011; 24 2012; 11 2011; 29 2012; 30 2010; 9 e_1_2_10_12_1 e_1_2_10_23_1 e_1_2_10_9_1 e_1_2_10_13_1 e_1_2_10_10_1 e_1_2_10_21_1 e_1_2_10_11_1 e_1_2_10_22_1 e_1_2_10_20_1 Stackelberg H (e_1_2_10_24_1) 1952 e_1_2_10_2_1 e_1_2_10_4_1 e_1_2_10_18_1 e_1_2_10_3_1 e_1_2_10_19_1 e_1_2_10_6_1 e_1_2_10_16_1 e_1_2_10_5_1 e_1_2_10_17_1 e_1_2_10_8_1 e_1_2_10_14_1 e_1_2_10_25_1 e_1_2_10_7_1 e_1_2_10_15_1 |
| References_xml | – reference: Alavi SM, Zhou C. Resource allocation scheme for orthogonal frequency division multiple access networks based on cooperative game theory. International Journal of Communication Systems 2012; DOI: 10.1002/dac.2398. – reference: Ngo DT, Le LB, Tho LN, Hossain E, Kim DI. Distributed interference management in two-tier CDMA femtocell networks. IEEE Transactions on Wireless Communications 2012; 11(3):979-989. – reference: Saraydar CU, Mandayam NB, Goodman DJ. Efficient power control via pricing in wireless data networks. IEEE Transactions on Communications 2002; 50(2):291-303. – reference: Gao L, Wang XB, Xu YY, Zhang Q. Spectrum trading in cognitive radio networks: a contract-theoretic modeling approach. IEEE Journal on Selected Areas in Communications 2011; 29(4):843-855. – reference: Chandrasekhar V, Andrews JG. Uplink capacity and interference avoidance in two-tier femtocell networks. IEEE Transactions on Wireless Communications 2009; 8(7):3498-3509. – reference: Yu H, Gao L, Li Z, Wang XB, Hossain E. Pricing for uplink power control in cognitive radio networks. IEEE Transactions on Vehicular Technology 2010; 59(4):1769-1778. – reference: LopezPerez D, Valcarce A, DelaRoche G, Zhang J. OFDMA femtocells: a roadmap on interference avoidance. IEEE Communications Magazine 2009; 47(9):41-48. – reference: H von Stackelberg. The Theory of the Market Economy. Oxford University Press: Oxford, 1952. – reference: Kang X, Zhang R, Motani M. Price-based resource allocation for spectrum-sharing femtocell networks: a Stackelberg game approach. IEEE Journal on Selected Areas in Communications 2012; 30(3):538-549. – reference: Zhang R, Cui SG, Liang YC. On ergodic sum capacity of fading cognitive multiple-access and broadcast channels. IEEE Transactions on Information Theory 2009; 55(11):5161-5178. – reference: Didem G, Fatih A. Genetic algorithm-based scheduling in cognitive radio networks under interference temperature constraints. International Journal of Communication Systems 2011; 24(2):239-25. – reference: Saraydar CU, Mandayam NB, Goodman DJ. Efficient power control via pricing in wireless data networks, IEEE Transactions on Wireless Communications 2002; 50 (2):291-303. – reference: Kim Y, Lee S, Hong D. Performance analysis of two-tier femtocell networks with outage constraints. IEEE Transactions on Wireless Communications 2010; 9(9):2695-2700. – reference: Chandrasekhar V, Andrews JG, Muharemovic T, Shen Z, Gatherer A. Power control in two-tier femtocell networks. IEEE Transactions on Wireless Communications 2009; 8(8):4316-4328. – reference: Claussen H, Ho LTW, Samuel LG. An overview of the femtocell concept. Bell Labs Technical Journal 2008; 13(1):221-245. – reference: Jo HS, Mun C, Moon J, Yook JG. Interference mitigation using uplink power control for two-tier femtocell networks. IEEE Transactions on Wireless Communications 2009; 8(10):4906-4910. – reference: Chandrasekhar V, Andrews JG, Gatherer A. Femtocell networks: a survey. IEEE Communications Magazine 2008; 46(9):59-67. – volume: 13 start-page: 221 issue: 1 year: 2008 end-page: 245 article-title: An overview of the femtocell concept publication-title: Bell Labs Technical Journal – volume: 47 start-page: 41 issue: 9 year: 2009 end-page: 48 article-title: OFDMA femtocells: a roadmap on interference avoidance publication-title: IEEE Communications Magazine – year: 2011 – volume: 11 start-page: 979 issue: 3 year: 2012 end-page: 989 article-title: Distributed interference management in two‐tier CDMA femtocell networks publication-title: IEEE Transactions on Wireless Communications – volume: 50 start-page: 291 issue: 2 year: 2002 end-page: 303 article-title: Efficient power control via pricing in wireless data networks publication-title: IEEE Transactions on Wireless Communications – volume: 50 start-page: 291 issue: 2 year: 2002 end-page: 303 article-title: Efficient power control via pricing in wireless data networks publication-title: IEEE Transactions on Communications – year: 2012 article-title: Resource allocation scheme for orthogonal frequency division multiple access networks based on cooperative game theory publication-title: International Journal of Communication Systems – volume: 30 start-page: 538 issue: 3 year: 2012 end-page: 549 article-title: Price‐based resource allocation for spectrum‐sharing femtocell networks: a Stackelberg game approach publication-title: IEEE Journal on Selected Areas in Communications – volume: 59 start-page: 1769 issue: 4 year: 2010 end-page: 1778 article-title: Pricing for uplink power control in cognitive radio networks publication-title: IEEE Transactions on Vehicular Technology – volume: 8 start-page: 4316 issue: 8 year: 2009 end-page: 4328 article-title: Power control in two‐tier femtocell networks publication-title: IEEE Transactions on Wireless Communications – year: 2008 – volume: 24 start-page: 239 issue: 2 year: 2011 end-page: 25 article-title: Genetic algorithm‐based scheduling in cognitive radio networks under interference temperature constraints publication-title: International Journal of Communication Systems – volume: 29 start-page: 843 issue: 4 year: 2011 end-page: 855 article-title: Spectrum trading in cognitive radio networks: a contract‐theoretic modeling approach publication-title: IEEE Journal on Selected Areas in Communications – volume: 9 start-page: 2695 issue: 9 year: 2010 end-page: 2700 article-title: Performance analysis of two‐tier femtocell networks with outage constraints publication-title: IEEE Transactions on Wireless Communications – volume: 8 start-page: 3498 issue: 7 year: 2009 end-page: 3509 article-title: Uplink capacity and interference avoidance in two‐tier femtocell networks publication-title: IEEE Transactions on Wireless Communications – year: 1952 – volume: 46 start-page: 59 issue: 9 year: 2008 end-page: 67 article-title: Femtocell networks: a survey publication-title: IEEE Communications Magazine – year: 2010 – volume: 8 start-page: 4906 issue: 10 year: 2009 end-page: 4910 article-title: Interference mitigation using uplink power control for two‐tier femtocell networks publication-title: IEEE Transactions on Wireless Communications – volume: 55 start-page: 5161 issue: 11 year: 2009 end-page: 5178 article-title: On ergodic sum capacity of fading cognitive multiple‐access and broadcast channels publication-title: IEEE Transactions on Information Theory – ident: e_1_2_10_15_1 doi: 10.1109/26.983324 – ident: e_1_2_10_14_1 doi: 10.1109/VETECS.2010.5493950 – ident: e_1_2_10_21_1 doi: 10.1109/wicom.2011.6036721 – ident: e_1_2_10_23_1 doi: 10.1002/dac.1152 – ident: e_1_2_10_7_1 doi: 10.1002/dac.2398 – ident: e_1_2_10_20_1 doi: 10.1109/GLOCOM.2010.5683278 – ident: e_1_2_10_12_1 doi: 10.1109/TWC.2010.070910.090251 – ident: e_1_2_10_10_1 doi: 10.1109/TWC.2009.080457 – ident: e_1_2_10_25_1 doi: 10.1109/26.983324 – ident: e_1_2_10_5_1 doi: 10.1109/TWC.2009.070475 – ident: e_1_2_10_6_1 doi: 10.1145/1859995.1860003 – ident: e_1_2_10_2_1 doi: 10.1002/bltj.20292 – ident: e_1_2_10_13_1 doi: 10.1109/TWC.2009.081386 – ident: e_1_2_10_17_1 doi: 10.1109/JSAC.2011.110415 – ident: e_1_2_10_18_1 doi: 10.1109/GLOCOM.2011.6134218 – ident: e_1_2_10_4_1 doi: 10.1109/MCOM.2009.5277454 – ident: e_1_2_10_22_1 doi: 10.1109/TIT.2009.2030449 – ident: e_1_2_10_11_1 doi: 10.1109/TWC.2012.012712.110073 – ident: e_1_2_10_16_1 doi: 10.1109/TVT.2010.2040492 – ident: e_1_2_10_19_1 doi: 10.1109/PIMRCW.2010.5670358 – ident: e_1_2_10_8_1 doi: 10.1109/JSAC.2012.120404 – ident: e_1_2_10_9_1 doi: 10.1109/WTS.2008.4547576 – ident: e_1_2_10_3_1 doi: 10.1109/MCOM.2008.4623708 – volume-title: The Theory of the Market Economy year: 1952 ident: e_1_2_10_24_1 |
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Femtocell technology has been drawing considerable attention as a cost‐effective means of improving cellular coverage and capacity. However, under... Femtocell technology has been drawing considerable attention as a cost‐effective means of improving cellular coverage and capacity. However, under co‐channel... SUMMARY Femtocell technology has been drawing considerable attention as a cost-effective means of improving cellular coverage and capacity. However, under... Femtocell technology has been drawing considerable attention as a cost-effective means of improving cellular coverage and capacity. However, under co-channel... |
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| SubjectTerms | Active control Admission control Algorithms Allocations Cellular communication Electric power distribution femtocell Interference interference management Management power control spectrum sharing Stackelberg game |
| Title | Price-based interference management in dense femtocell systems |
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