Coordinating multiple antenna cellular networks to achieve enormous spectral efficiency

G.J. Foschini; K. Karakayali; R.A. Valenzuela

Coordinating multiple antenna cellular networks to achieve enormous spectral efficiency

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Coordinating multiple antenna cellular networks to achieve enormous spectral efficiency

Author(s): G.J. Foschini ; K. Karakayali ; R.A. Valenzuela
DOI: 10.1049/ip-com:20050423

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Author(s): G.J. Foschini ¹ ; K. Karakayali ² ; R.A. Valenzuela ¹
- Affiliations: 1: Wireless Research, Lucent, Bell Labs, Holmdel, USA
  2: Department of Electrical and Computer Engineering, Rutgers, WINLAB, Piscataway, USA
Source: Volume 153, Issue 4, August 2006, p. 548 – 555
DOI: 10.1049/ip-com:20050423 , Print ISSN 1350-2425, Online ISSN 1359-7019

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Intercell interference limits the capacity of wireless networks. To mitigate this interference we explore coherently coordinated transmission (CCT) from multiple base stations to each user. To treat users fairly, we explore equal rate (ER) networks. We evaluate the downlink network efficiency of CCT as compared to serving each user with single base transmission (SBT) with a separate base uniquely assigned to each user. Efficiency of ER networks is measured as total network throughput relative to the number of network antennas at 10% user outage. Efficiency is compared relative to the baseline of single base transmission with power control, (ER-SBT), where base antenna transmissions are not coordinated and apart from power control and the assignment of 10% of the users to outage, nothing is done to mitigate interference. We control the transmit power of ER systems to maximise the common rate for ER-SBT, ER-CCT based on zero forcing, and ER-CCT employing dirty paper coding. We do so for (no. of transmit antennas per base, no. of receive antennas per user) equal to (1,1), (2,2) and (4,4). We observe that CCT mutes intercell interference enough, so that enormous spectral efficiency improvement associated with using multiple antennas in isolated communication links occurs as well for the base-to-user links in a cellular network.

References

1. 1)
  - M. Hata . Empirical formula for propagation loss in land mobile radio services. IEEE Trans. Veh. Technol. , 317 - 325
2. 2)
  - A. Goldsmith , S. Jafar , N. Jindal , S. Vishwanath . Capacity limits of the MIMO channel. IEEE Trans. Inf. Theory , 5 , 684 - 702
3. 3)
  - C. Caire , S. Shamai (Shitz) . On the achievable throughput of a multi-antenna Gaussian broadcast channel. IEEE Trans. Inf. Theory , 7 , 1691 - 1706
4. 4)
  - Samardzija, D., Mandayam, N.: `Multiuser antenna transmitter optimization schemes for multiuser systems', IEEE 58th Vehicular Technology Conf. (VTC), October 2003, Orlando, Florida, 1, p. 399–403.
5. 5)
  - G.J. Foschini , M.J. Gans . On limits of wireless communications in a fading environment when using multiple antennas. Wirel. Pers. Commun. , 3 , 311 - 335
6. 6)
  - A. Wyner . Shannon-theoretic approach to a Gaussian cellular multiple-access channel. IEEE Trans. Inf. Theory , 6 , 1713 - 1727
7. 7)
  - EURO-COST231: ‘Urban transmission loss models for mobile radio in the 900 and 1800 MHz bands’, TD (90) 119 Rev 2, Sept. 1991.
8. 8)
  - S. Boyd , L. Vandenberghe . (2004) Convex optimization.
9. 9)
  - S. Alamouti . A simple transmitter diversity scheme for wireless communication. IEEE J. Sel. Areas Commun. , 10 , 1451 - 1458
10. 10)
  - D. Tse , P. Viswanath . On the capacity of the multiple antenna broadcast channel, multiantenna signal processing and coding. Discrete Math. Theor. Comput. Sci. , 87 - 105
11. 11)
  - Chow, C., Shraiman, B.I., Sengupta, A.M., Andrews, M.R.: `Using phase and amplitude control across networks to increase capacity up to fourfold', URSI National Radio Science Meeting, 9–11 January 2002, Boulder, Colorado, USA, C1-5.
12. 12)
  - S. Shamai , A.D. Wyner . Information-theoretic considerations for symmetric, cellular, multiple-access fading channels: I and II. IEEE Trans. Inf. Theory , 6 , 1877 - 1894
13. 13)
  - Shamai, S., Zaidel, B.M.: `Enhancing the cellular downlink capacity via co-processing at the transmitting end', Proc. Vehicular Technology Conf. 2001, VTC 2001 Spring, IEEE VTS 53rd, May 2001, 3, p. 1745–1749.
14. 14)
  - G.J. Foschini , Z. Miljanic . A simple distributed autonomous power control algorithm and its convergence. IEEE Trans. Veh. Technol. , 4 , 641 - 646
15. 15)
  - Mitra, D.: `An asynchronous distributed algorithm for power control in cellular radio systems', 4thWINLAB Workshop on 3rd Generation Wireless Info. Networks, 1993, p. 249–257.
16. 16)
  - R.D. Yates . A framework for uplink power control in cellular radio systems. IEEE J. Sel. Areas Commun. , 7 , 1341 - 1347
17. 17)
  - H. Viswanathan , S. Venkatesan , H. Huang . Downlink capacity evaluation of cellular networks with known-interference cancellation. IEEE J. Sel. Areas Commun. , 5 , 802 - 811
18. 18)
  - G.J. Foschini . Layered space-time architecture for wireless communication in a fading environment when using multiple antennas. Bell Labs Tech. J. , 2 , 41 - 59
19. 19)
  - Samardzija, D., Mandayam, N.: `Unquantized and uncoded channel state information feedback on wireless channels', Conf. on Info. Sciences and Systems (CISS), 2004, Princeton, USA.
20. 20)
  - D. Samardzija , N. Mandayam . Pilot assisted estimation of MIMO fading channel response and achievable data rates. IEEE Trans. Signal Process. , 2882 - 2890
21. 21)
  - Foschini, G.J., Huang, H.C., Karakayali, K., Valenzuela, R.A., Venkatesan, S.: `The value of coherent base station coordination', Conf. on Information Science and Systems (CISS), Johns Hopkins University, March 2005, Baltimore, MD, USA.

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Coordinating multiple antenna cellular networks to achieve enormous spectral efficiency

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