Adaptive allocation of CDMA resources for network-level QoS assurances

In a Code Division Multiple Access (CDMA) network, multiple mobile hosts (MHs) can simultaneously transmit over the wireless channel by using different codes. To assure an acceptable quality of service for all users' flows, the network usually tunes the transmit powers of all MHs to achieve a certain level of signal strength as compared to the noise and the interference (SINR) for each user. The traditional assumption in power control schemes is that the SINR requirement is statically determined for each user flow. In contrast, in this paper, we propose a scheme that dynamically adapts the SINR requirements of user flows based on its quality of service (QoS) requirements and the conditions of the wireless channel between the MHs and the base station. As a result of this adaptation, we show that network-level QoS measures such as fraction of packets meeting their delay requirements and energy consumed per packet transmission are significantly better than in a scheme that statically fixes the SINR requirements. Our scheme uses a simple table-driven approach for optimally selecting the target SINR requirement for each MH at run time. The entries in the table are computed offline using a dynamic programming algorithm with the objective of maximizing a profit function that balances the need for meeting the network-level QoS requirements and the cost of using a particular target SINR for a given transmission.

[1]  David J. Goodman,et al.  Power control for wireless data based on utility and pricing , 1998, Ninth IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (Cat. No.98TH8361).

[2]  Roy D. Yates,et al.  Stochastic power control for cellular radio systems , 1998, IEEE Trans. Commun..

[3]  Kin K. Leung A Kalman-filter method for power control in broadband wireless networks , 1999, IEEE INFOCOM '99. Conference on Computer Communications. Proceedings. Eighteenth Annual Joint Conference of the IEEE Computer and Communications Societies. The Future is Now (Cat. No.99CH36320).

[4]  Jens Zander,et al.  Centralized power control in cellular radio systems , 1993 .

[5]  Roy D. Yates,et al.  Rate of convergence for minimum power assignment algorithms in cellular radio systems , 1998, Wirel. Networks.

[6]  Jack M. Holtzman,et al.  Power control and resource management for a multimedia CDMA wireless system , 1995, Proceedings of 6th International Symposium on Personal, Indoor and Mobile Radio Communications.

[7]  Ness B. Shroff,et al.  A static power control scheme for wireless cellular networks , 1999, IEEE INFOCOM '99. Conference on Computer Communications. Proceedings. Eighteenth Annual Joint Conference of the IEEE Computer and Communications Societies. The Future is Now (Cat. No.99CH36320).

[8]  Larry J. Greenstein,et al.  An empirically based path loss model for wireless channels in suburban environments , 1999, IEEE J. Sel. Areas Commun..

[9]  Roy D. Yates,et al.  A Framework for Uplink Power Control in Cellular Radio Systems , 1995, IEEE J. Sel. Areas Commun..

[10]  Roy D. Yates,et al.  Adaptive power control and MMSE interference suppression , 1998, Wirel. Networks.

[11]  Masoud Salehi,et al.  Communication Systems Engineering , 1994 .

[12]  Roy D. Yates,et al.  Optimum power scheduling for CDMA access channels , 1997, GLOBECOM 97. IEEE Global Telecommunications Conference. Conference Record.

[13]  David J. Goodman,et al.  Distributed power control in cellular radio systems , 1994, IEEE Trans. Commun..

[14]  Sirikiat Lek Ariyavisitakul Signal and interference statistics of a CDMA system with feedback power control. II , 1994, IEEE Trans. Commun..

[15]  Gerard J. Foschini,et al.  A simple distributed autonomous power control algorithm and its convergence , 1993 .

[16]  Roy D. Yates,et al.  Integrated power control and base station assignment , 1995 .

[17]  Didier Le Gall,et al.  MPEG: a video compression standard for multimedia applications , 1991, CACM.

[18]  Jens Zander,et al.  Performance of optimum transmitter power control in cellular radio systems , 1992 .

[19]  L. F. Chang,et al.  Signal and interference statistics of a CDMA system with feedback power control , 1991, IEEE Global Telecommunications Conference GLOBECOM '91: Countdown to the New Millennium. Conference Record.