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- 9 References
- 1 Introduction
- 2 Terminal system architecture
8 ConclusionsMIMO antenna schemes have the potential to greatly increase the capacity of mobile systems. In particular, they have great potential to supply both high speed links and increased capacity in the densest urban environments where the demand for capacity is at its highest. As such they are a complimentary technique to the conventional beam forming and diversity techniques used with similar antenna arrays. Therefore it is expected that advanced networks will adapt the processing of the signals to and from the antennas to operate in all modes simultaneously at a single base station site. This will optimize both the total cell capacity and the individual data rates to the terminals with different antenna arrangements as they move between different radio environments. 9 References[1] G.J. Foschini, M.J. Gans, “On Limits of Wireless Communications in a Fading Environment when Using Multiple Antennas”, Wireless Personal Communications, No. 6, 1998, pp. 315-335. [2] E.I. Telatar: “Capacity of Multi-Antenna Gaussian Channels” Euro. Trans. Telecom. Vol. 10, 585 595, Nov. 1999. [3] A.F. Naguib, V. Tarohk, N. Seshadri, A.R. Calderbank, “A Space-Time Coding Modem for High-Data-Rate Wireless Communications”, IEEE JSAC, Vol. 16, No. 8, Oct. 1998, pp. 1459-1477. [4] G.G. Raleigh, J.M. Cioffi, “Spatio-Temporal Coding for Wireless Communications”, IEEE Trans. On Communic., Vol. 46, No. 3, March 1998, pp. 357-366. [5] G.J. Foschini, “Layered Space-Time Architecture for Wireless Communications in a Fading Environment When Using Multi-Element Antennas”, Bell Labs Tech. J., Autumn 1996, pp. 41-59. [6] G.J. Foschini, G.D. Golden, R. A. Valenzuela, and P. W. Wolniansky, Simplified processing for high spectral efficiency wireless communication employing multi-element arrays,” IEEE Journal on Selected Areas in Communications, Vol. 17, pp. 1841{1851, Nov. 1999. [7] P.F. Driessen, G.F. Foschini, On the capacity Formula for Multiple-Input Multiple-Output Wireless Channels: A Geometric Interpretation, IEEE Trans. On Communic, Vol. 47, No. 2, Feb 1999, pp. 173-176. [8] S. Catreux, P.F. Driessen, and L.J. Greenstein, Attainable Throughput of an Interference-Limited Multiple-Input Multiple-Output (MIMO) Cellular System. IEEE Trans. On Communic., Vol. 49, No. 8, August 2001, pp. 1307-1311. [9] S.L. Ariyavisitakul, Turbo Space-Time Processing to improve Wireless Channel Capacity, IEEE Trans. On Communic., Vol. 49, No. 8, August 2001, pp. 1347- [10] P.J. Smith, M. Shafi, “On a Gaussian Approximation to the Capacity of Wireless MIMO Systems”, submitted to IEEE Transactions on Communications, August 2001. [11] M. Shafi, P.J. Smith, “MIMO Capacity in Rician Fading Channels and its Relationship to the K-Factor”, submitted to IEEE Transactions Letters on Communications, January 2002. [12] P.J. Smith, M. Shafi, “Water Filling Methods for MIMO Systems”, Proceedings of 3rd AusCTW, Canberra, Australia, February 4-5, 2002. [13] P.J. Smith, M. Shafi , “On a Gaussian Approximation to the Capacity of Wireless MIMO Systems”, Conference Proceedings, ICC 2002, April 2002, New York. [14] Smith, M.S., Kitchener, D.K., Dalley, J.E.J. & Thomas, R.R., “Low cost diversity antennas for low power wireless base stations”, Proc. ICAP 97, p.1.445, Edinburgh, April 1997. [15] Smith, M.S., Bush, A.K., Gwynn, P.G. & Amos, S.V., “Microcell and Picocell base station internal antennas”, Proc. WCNC 99, p. 708, New Orleans, September 1999. [16] Kitchener, D. & Smith, M.S. “Low cost antennas for mobile communications”, Proc. IEE Colloquium 1998/206 on “Low cost antenna technology”, 24 February 1998. [17] Multiple Antenna Terminals Incorporating MIMO and Diversity Technologies, A. Jeffries, M. Smith, WWRF5 Research Submission, Tempe, Arizona March 2002. [18] http://www.lx.it.pt/cost259/ [19] http://www.lx.it.pt/cost273/
Software defined radios 1 IntroductionThis Annex gives more detailed information on the SDR system architecture concept. It is a complement to the text of § 3, which contains a definition of SDR and describes the requirements for SDR. This Annex describes functionalities and a system architecture to fulfil the requirements stated in § 3. Software defined radio concerns therefore basically all communication layers (from the physical layer to the application layer) of the radio interface (see Fig. 19) and impacts both the mobile terminal and the network side. Figure 19 Communication layers subject to SDR As key objectives, SDR shall provide means for: - adaptation of the radio interface to varying deployment environments/radio interface standards; - provision of possibly new applications and services; - software updates; - enabling full exploitation of flexible heterogeneous radio networks services. The logical SDR-architecture has to support the following functions: - management of terminal, user and service profiles in the network entities and the terminal; - efficient download control and reconfiguration management for terminals and network entities; - negotiation and adaptation functionalities for services and RATs (e.g. vertical handover); - assurance of standard compliance. These functions are logical functions, i.e. they can be implemented in different places in the network. Moreover they can be distributed within the network and between network and terminal.
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