An Uplink Capacity Analysis of the Distributed Antenna System (DAS): From Cellular DAS to DAS with Virtual Cells
Performance of cellular networks is severely limited by intense inter-cell interference due to aggressive frequency reuse among cells. How to characterize the dependency of inter-cell interference on positions of BS antennas and users is a key question for the capacity analysis of cellular systems,...
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Published in | IEEE transactions on wireless communications Vol. 13; no. 5; pp. 2717 - 2731 |
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Main Author | |
Format | Journal Article |
Language | English |
Published |
New York, NY
IEEE
01.05.2014
Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subjects | |
Online Access | Get full text |
ISSN | 1536-1276 1558-2248 |
DOI | 10.1109/TWC.2014.033114.130557 |
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Abstract | Performance of cellular networks is severely limited by intense inter-cell interference due to aggressive frequency reuse among cells. How to characterize the dependency of inter-cell interference on positions of BS antennas and users is a key question for the capacity analysis of cellular systems, which unfortunately remains elusive. In this paper, a comparative study on the uplink ergodic sum capacity of cellular systems is presented, where L c BS antennas are either co-located at the cell center or uniformly distributed within each cell. With a large number of users, the inter-cell interference density is shown to be inversely proportional to L c if the co-located antenna (CA) layout is adopted. With the distributed antenna (DA) layout, it scales in the order of L c -α/2 , where α is the path-loss factor, and is much lower than that in the CA case when L c is large. Substantial gains on the uplink sum capacity are achieved by the DA layout thanks to the reduction of inter-cell interference level. The analysis also reveals that the inter-cell interference density of each BS antenna is sensitive to its position. With the DA layout, BS antennas at cell boundary areas suffer from much higher inter-cell interference than those at the cell center, which may exacerbate the performance disparity of users in cellular systems. To tackle the cell-edge problem, a distributed antenna system (DAS) is further considered, where L BS antennas are distributed over a wide area, and each user chooses V ≪ L surrounding BS antennas as its virtual cell, i.e., its own serving BS antenna set. A uniform inter-cell interference density is shown to be achieved thanks to the adaptive formation of virtual cells. More importantly, by the use of virtual cell, the number of users served by each BS antenna decreases with an increasing L, implying that much of the signal processing and information exchange can be performed in a local and distributed way. The uplink ergodic sum capacity and the ergodic rate with orthogonal access of DASs with V=1 are further derived, and shown to be close to each other even with a large L. It is in sharp contrast to cellular systems where a significant tradeoff between performance and complexity has to be made when the number of BS antennas is large. |
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AbstractList | Performance of cellular networks is severely limited by intense inter-cell interference due to aggressive frequency reuse among cells. How to characterize the dependency of inter-cell interference on positions of BS antennas and users is a key question for the capacity analysis of cellular systems, which unfortunately remains elusive. In this paper, a comparative study on the uplink ergodic sum capacity of cellular systems is presented, where L_c BS antennas are either co-located at the cell center or uniformly distributed within each cell. With a large number of users, the inter-cell interference density is shown to be inversely proportional to L_c if the co-located antenna (CA) layout is adopted. With the distributed antenna (DA) layout, it scales in the order of L_{c}-\frac alpha {2}}, where alpha is the path-loss factor, and is much lower than that in the CA case when L_c is large. Substantial gains on the uplink sum capacity are achieved by the DA layout thanks to the reduction of inter-cell interference level. The analysis also reveals that the inter-cell interference density of each BS antenna is sensitive to its position. With the DA layout, BS antennas at cell boundary areas suffer from much higher inter-cell interference than those at the cell center, which may exacerbate the performance disparity of users in cellular systems. To tackle the cell-edge problem, a distributed antenna system (DAS) is further considered, where L BS antennas are distributed over a wide area, and each user chooses Vl L surrounding BS antennas as its virtual cell, i.e., its own serving BS antenna set. A uniform inter-cell interference density is shown to be achieved thanks to the adaptive formation of virtual cells. More importantly, by the use of virtual cell, the number of users served by each BS antenna decreases with an increasing L, implying that much of the signal processing and information exchange can be performed in a local and distributed way. The uplink ergodic sum capacity and the ergodic rate with orthogonal access of DASs with V=1 are further derived, and shown to be close to each other even with a large L. It is in sharp contrast to cellular systems where a significant tradeoff between performance and complexity has to be made when the number of BS antennas is large. Performance of cellular networks is severely limited by intense inter-cell interference due to aggressive frequency reuse among cells. How to characterize the dependency of inter-cell interference on positions of BS antennas and users is a key question for the capacity analysis of cellular systems, which unfortunately remains elusive. In this paper, a comparative study on the uplink ergodic sum capacity of cellular systems is presented, where L_c BS antennas are either co-located at the cell center or uniformly distributed within each cell. With a large number of users, the inter-cell interference density is shown to be inversely proportional to L_c if the co-located antenna (CA) layout is adopted. With the distributed antenna (DA) layout, it scales in the order of L_{c}^{-\frac α{2}}, where α is the path-loss factor, and is much lower than that in the CA case when L_c is large. Substantial gains on the uplink sum capacity are achieved by the DA layout thanks to the reduction of inter-cell interference level. The analysis also reveals that the inter-cell interference density of each BS antenna is sensitive to its position. With the DA layout, BS antennas at cell boundary areas suffer from much higher inter-cell interference than those at the cell center, which may exacerbate the performance disparity of users in cellular systems. To tackle the cell-edge problem, a distributed antenna system (DAS) is further considered, where L BS antennas are distributed over a wide area, and each user chooses Vl L surrounding BS antennas as its virtual cell, i.e., its own serving BS antenna set. A uniform inter-cell interference density is shown to be achieved thanks to the adaptive formation of virtual cells. More importantly, by the use of virtual cell, the number of users served by each BS antenna decreases with an increasing L, implying that much of the signal processing and information exchange can be performed in a local and distributed way. The uplink ergodic sum capacity and the ergodic rate with orthogonal access of DASs with V=1 are further derived, and shown to be close to each other even with a large L. It is in sharp contrast to cellular systems where a significant tradeoff between performance and complexity has to be made when the number of BS antennas is large. Performance of cellular networks is severely limited by intense inter-cell interference due to aggressive frequency reuse among cells. How to characterize the dependency of inter-cell interference on positions of BS antennas and users is a key question for the capacity analysis of cellular systems, which unfortunately remains elusive. In this paper, a comparative study on the uplink ergodic sum capacity of cellular systems is presented, where L c BS antennas are either co-located at the cell center or uniformly distributed within each cell. With a large number of users, the inter-cell interference density is shown to be inversely proportional to L c if the co-located antenna (CA) layout is adopted. With the distributed antenna (DA) layout, it scales in the order of L c -α/2 , where α is the path-loss factor, and is much lower than that in the CA case when L c is large. Substantial gains on the uplink sum capacity are achieved by the DA layout thanks to the reduction of inter-cell interference level. The analysis also reveals that the inter-cell interference density of each BS antenna is sensitive to its position. With the DA layout, BS antennas at cell boundary areas suffer from much higher inter-cell interference than those at the cell center, which may exacerbate the performance disparity of users in cellular systems. To tackle the cell-edge problem, a distributed antenna system (DAS) is further considered, where L BS antennas are distributed over a wide area, and each user chooses V ≪ L surrounding BS antennas as its virtual cell, i.e., its own serving BS antenna set. A uniform inter-cell interference density is shown to be achieved thanks to the adaptive formation of virtual cells. More importantly, by the use of virtual cell, the number of users served by each BS antenna decreases with an increasing L, implying that much of the signal processing and information exchange can be performed in a local and distributed way. The uplink ergodic sum capacity and the ergodic rate with orthogonal access of DASs with V=1 are further derived, and shown to be close to each other even with a large L. It is in sharp contrast to cellular systems where a significant tradeoff between performance and complexity has to be made when the number of BS antennas is large. |
Author | Lin Dai |
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Cites_doi | 10.1109/JSAC.2011.110608 10.1109/JSAC.2010.101202 10.1109/TIT.2009.2023732 10.1109/JPROC.2007.907125 10.1109/TWC.2011.122211.110645 10.1109/TIT.2011.2170123 10.1109/MCOM.2003.1186553 10.1109/VETECS.2001.944798 10.1049/el:20030327 10.1109/TIT.2007.909170 10.1155/2008/586878 10.1109/TIT.2002.805084 10.1109/18.340450 10.1109/JSAC.2011.110603 10.1109/ICC.2008.245 10.1109/TIT.2006.876241 10.1109/49.490415 10.1109/18.904525 10.1109/TWC.2007.05207 10.1070/SM1967v001n04ABEH001994 10.1109/WCNC.2009.4917683 10.1109/TWC.2005.858011 10.1109/JSAC.2011.110604 10.1109/25.492850 10.1023/A:1008889222784 10.1109/TCOM.1987.1096716 10.1017/CBO9780511807213 10.1109/TWC.2008.070425 |
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Keywords | Performance evaluation Wireless telecommunication Data transmission Cell network cellular systems Uplink Intercell interference Antenna array multiple-input-multiple-output (MIMO) Antenna Mobile radiocommunication MIMO system Channel capacity Ergodicity Distributed system Frequency reuse Loss factor Distributed antenna systems Telecommunication network Information processing Signal processing inter-cell interference Disparity Transmission loss uplink sum capacity Comparative study |
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References | ref13 ref37 ref15 ref36 ref14 ref31 dai (ref35) 0 ref30 ref33 ref11 ref32 (ref9) 2010; 17 dai (ref34) 2002 ref2 ref1 ref38 ref16 zhang (ref18) 0 ref19 morita (ref12) 1993; e76 b ref24 ref23 xiao (ref20) 0 ref26 ref25 ref22 ref21 telatar (ref3) 1995 ref28 ref27 roh (ref17) 0 ref29 hu (ref8) 2007 ref7 (ref10) 2011; 29 ref4 ref6 ref5 |
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SubjectTerms | Antenna arrays Antennas Applied sciences Boundaries Cellular cellular systems Density Detection, estimation, filtering, equalization, prediction Distributed antenna systems Equipments and installations Ergodic processes Exact sciences and technology Fading Gain Information, signal and communications theory inter-cell interference Interference Layout Mobile radiocommunication systems multiple-input-multiple-output (MIMO) Radiocommunications Signal and communications theory Signal, noise Systems, networks and services of telecommunications Telecommunications Telecommunications and information theory Transmission and modulation (techniques and equipments) Uplink uplink sum capacity Vectors Wireless communication Wireless networks |
Title | An Uplink Capacity Analysis of the Distributed Antenna System (DAS): From Cellular DAS to DAS with Virtual Cells |
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