The doctoral dissertations of the former Helsinki University of Technology (TKK) and Aalto University Schools of Technology (CHEM, ELEC, ENG, SCI) published in electronic format are available in the electronic publications archive of Aalto University - Aaltodoc.

Radio Resource Management in Wireless Communication: Beamforming, Transmission Power Control, and Rate Allocation

Vesa Hasu

Dissertation for the degree of Doctor of Science in Technology to be presented with due permission of the Department of Automation and Systems Technology for public examination and debate in Auditorium AS1 at Helsinki University of Technology (Espoo, Finland) on the 14th of June, 2007, at 12 noon.

Overview in PDF format (ISBN 978-951-22-8822-9)   [3343 KB]
Dissertation is also available in print (ISBN 978-951-22-8821-2)


Effective sharing of the radio spectrum in current and future multi-user radio communication systems is important for the maximisation of communication capacity. Efficient sharing requires obtaining the target ratio between signal and interference powers defined by the requested services for every user with minimum use of resources. In this thesis, three radio resource management techniques – transmission power control, adaptive beamforming, and transmission rate management – are considered separately and jointly in attacking the problem of radio channel sharing. Transmission power control balances the signal-to-interference ratios of the connections, adaptive beamforming performs spatial filtering of signal in antenna arrays, and transmission rate management controls communication speeds of all connections in the system.

This thesis proposes an algorithm for block proportional–integral transmission power control. It combines the ideas of updating the transmission powers of different connections in blocks of chosen connections and using a multiple-input, multiple-output proportional–integral controller in the transmission power balancing. The algorithm is compared to the single-input, single-output proportional–integral controller scenario and is seen to offer faster convergence to the optimal transmission powers. Adaptive beamforming weight vector prediction algorithms are introduced for decreasing the negative impact of the beamformer delay on the system performance. The prediction algorithms are based on autoregressive-moving average models, where parameters are updated using recursive least squares technique. This thesis takes practical approaches to joint beamforming and power control. Separate solutions are proposed for the receiving and transmission beamforming systems. Both solutions are based on making SINR estimates according to the covariance matrices of desired signals, which can be applied in transmission power control of corresponding connections.

For transmission rate management, the feasibility of applying the power control point of view is taken. Solutions are based on the channel measurements and allocation of rates on the basis of the interference. The approach results in rate allocations that are fairer between users than those obtained via maximisation of communications capacity.

In addition to cellular radio systems, this thesis addresses radio resource management of wireless sensor networks. Antenna array beamforming solutions are considered in receivers and transmitters of star-topology sensor networks.

This thesis consists of an overview and of the following 9 publications:

  1. V. Hasu, H. Koivo, A Block MIMO PI-Power Control Algorithm for Cellular Systems, Proceedings of the IEEE 54th Vehicular Technology Conference, VTC-Fall 2001, Atlantic City, NJ, USA, October 2001, vol. 3, pp. 1927-1931.
  2. V. Hasu, Eigenvalue Approach to Joint Power Control and Beamforming for CDMA Systems, Proceedings of the IEEE Seventh International Symposium on Spread Spectrum Techniques and Applications, ISSSTA 2002, Prague, Czech Republic, April 2002, vol. 2, pp. 561-565.
  3. V. Hasu, H. Koivo, Self-Tuning Prediction of Beamforming Vector, Proceedings of the 5th European Personal Mobile Communications Conference, EPMCC 2003, Glasgow, Great Britain, April 2003, pp. 49-53.
  4. V. Hasu, Power Control Scheme for Systems With Transmission Beamforming, Proceedings of the 2nd IASTED International Conference on Communications, Internet, and Information Technology, CIIT 2003, Scottsdale, AZ, USA, November 2003, 5 p.
  5. V. Hasu, H. Koivo, Fair Finite-State Uplink Transmission Rate Allocation for Cellular Systems, Proceedings of the IEEE 61st Vehicular Technology Conference, VTC-Spring 2005, Stockholm, Sweden, May-June 2005, vol. 4, pp. 2369-2373.
  6. V. Hasu, H. Koivo, SDMA in Connections between Wireless Sensors and Wired Network, Proceedings of the 10th IFIP International Conference on Personal Wireless Communications, PWC 2005, Colmar, France, August 2005, 8 p.
  7. V. Hasu, H. Koivo, SINR Estimation for Power Control in Systems with Transmission Beamforming, IEEE Communications Letters, October 2005, vol. 9, no. 10, pp. 885-887.
  8. V. Hasu, H. Koivo, Fair Transmission Rate Allocation: A Power Control Feasibility Approach, Proceedings of the Tenth IEEE International Conference on Communications Systems, IEEE ICCS 2006, Singapore, October 2006, 5 p.
  9. M. Elmusrati, V. Hasu, Random Switched Beamforming for Uplink Wireless Sensor Networks, Proceedings of the IEEE 65th Vehicular Technology Conference, VTC-Spring 2007, Dublin, Ireland, April 2007, pp. 3150-3154.

Errata of publication 1

Keywords: radio resource management, power control, beamforming, wireless communication

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© 2007 Helsinki University of Technology

Last update 2011-05-26