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Träfflista för sökning "WFRF:(Roy A) srt2:(1990-1994)"

Sökning: WFRF:(Roy A) > (1990-1994)

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1.
  • Grandhi, Sudheer A., et al. (författare)
  • Constrained Power Control
  • 1994
  • Ingår i: Wireless personal communications. - : Kluver Academic Publishing. - 0929-6212 .- 1572-834X. ; 1:4, s. 257-270
  • Tidskriftsartikel (refereegranskat)abstract
    • High system capacities can be achieved by controlling the transmitter power in multiuser radio systems. Power control with no constraint on the maximum power level has been studied extensively in earlier work [1–18]. Transmitter power is at a premium in radio systems such as cellular systems and PCS. There is a limit on the maximum transmitter power especially at the terminals (e.g. mobile units and handsets) since the power comes from a battery. In this paper we study power control that maximizes the minimum carrier to interference ratio (CIR), with a constraint on the maximum power. The optimal power vector solution lies on the boundary of the constrained power vector set and achieves a balance in the CIR's. Results indicate that the constraints do not induce any stability problems. A distributed scheme with favourable convergence properties and close to optimum performance is presented. Simulation results show that the algorithm tries to maximize the number of terminals served with CIR greater than or equal to the target CIR, while conserving power.
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2.
  • Swindlehurst, A. Lee, et al. (författare)
  • Multiple Invariance ESPRIT
  • 1992
  • Ingår i: IEEE Transactions on Signal Processing. - : Institute of Electrical and Electronics Engineers (IEEE). - 1053-587X .- 1941-0476. ; 40:4, s. 867-881
  • Tidskriftsartikel (refereegranskat)abstract
    • A subspace-fitting formulation of the ESPRIT problem is presented that provides a framework for extending the algorithm to exploit arrays with multiple invariances. In particular, a multiple invariance (MI) ESPRIT algorithm is developed and the asymptotic distribution of the estimates is obtained. Simulations are conducted to verify the analysis and to compare the performance of MI ESPRIT with that of several other approaches. The excellent quality of the MI ESPRIT estimates is explained by recent results which state that, under certain conditions, subspace-fitting methods of this type are asymptotically efficient.
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