Leveraging Dynamic Spare Capacity in Wireless Systems to Conserve Mobile Terminals' Energy

In this paper, we study several ways in which mobile terminals can backoff on their uplink transmit power in order to extend battery lifetimes. This is particularly effective when a wireless system is underloaded as the degradation in user's perceived quality of service can be negligible. The challenge, however, is developing a mechanism that achieves a good tradeoff among transmit power, idling/circuit power, and the performance customers will see. We consider systems with flow-level dynamics supporting either real-time or best effort (e.g., file transfers) sessions. The energy-optimal transmission strategy for real-time sessions is determined by solving a convex optimization. An iterative approach exhibiting superlinear convergence achieves substantial amount energy savings, e.g., more than 50% when the session blocking probability is 0.1% or less. The case of file transfers is more subtle because power backoff changes the system dynamics. We study energy-efficient transmission strategies that realize energy-delay tradeoff. The proposed mechanism achieves a 35%-75% in energy savings depending on the load and file transfer target throughput. A key insight, relative to previous work focusing on static scenarios, is that idling power has a significant impact on energy-efficiency, while circuit power has limited impact as the load increases.

[1]  Liesbet Van der Perre,et al.  MEERA: cross-layer methodology for energy efficient resource allocation in wireless networks , 2007, IEEE Transactions on Wireless Communications.

[2]  Andrea J. Goldsmith,et al.  Modeling and Optimization of Transmission Schemes in Energy-Constrained Wireless Sensor Networks , 2007, IEEE/ACM Transactions on Networking.

[3]  Andrea J. Goldsmith,et al.  Joint modulation and multiple access optimization under energy constraints , 2004, IEEE Global Telecommunications Conference, 2004. GLOBECOM '04..

[4]  Raymond Knopp,et al.  Information capacity and power control in single-cell multiuser communications , 1995, Proceedings IEEE International Conference on Communications ICC '95.

[5]  J. Ben Atkinson,et al.  An Introduction to Queueing Networks , 1988 .

[6]  Pamela Youssef-Massaad Impact of Processing Energy on the Capacity of Wireless Channels , 2005 .

[7]  Alexandre Proutière,et al.  Insensitive Bandwidth Sharing in Data Networks , 2003, Queueing Syst. Theory Appl..

[8]  Thomas Bonald,et al.  Statistical bandwidth sharing: a study of congestion at flow level , 2001, SIGCOMM.

[9]  Gustavo de Veciana,et al.  Losing Opportunism: Evaluating Service Integration in an Opportunistic Wireless System , 2007, IEEE INFOCOM 2007 - 26th IEEE International Conference on Computer Communications.

[10]  Byeong Gi Lee,et al.  Wireless packet scheduling based on the cumulative distribution function of user transmission rates , 2005, IEEE Transactions on Communications.

[11]  本多 重夫,et al.  Communication & networking : 初めてのコンピュータネットワーク , 1992 .

[12]  Chi Wan Sung,et al.  An opportunistic power control algorithm for cellular network , 2006, IEEE/ACM Transactions on Networking.

[13]  Viktor K. Prasanna,et al.  Energy-latency tradeoffs for data gathering in wireless sensor networks , 2004, IEEE INFOCOM 2004.

[14]  Eytan Modiano,et al.  A Calculus Approach to Energy-Efficient Data Transmission With Quality-of-Service Constraints , 2009, IEEE/ACM Transactions on Networking.

[15]  Guy Pujolle,et al.  Introduction to queueing networks , 1987 .

[16]  Geoffrey Ye Li,et al.  Energy Efficient Design in Wireless OFDMA , 2008, 2008 IEEE International Conference on Communications.

[17]  Heng Wang,et al.  Opportunistic file transfer over a fading channel under energy and delay constraints , 2005, IEEE Transactions on Communications.

[18]  Stephen P. Boyd,et al.  Convex Optimization , 2004, Algorithms and Theory of Computation Handbook.

[19]  Georgios B. Giannakis,et al.  Energy-efficient scheduling for wireless sensor networks , 2005, IEEE Transactions on Communications.

[20]  Pravin Varaiya,et al.  Capacity of fading channels with channel side information , 1997, IEEE Trans. Inf. Theory.

[21]  Ness B. Shroff,et al.  A framework for opportunistic scheduling in wireless networks , 2003, Comput. Networks.

[22]  Gustavo de Veciana,et al.  Architecture and Abstractions for Environment and Traffic Aware System-Level Coordination of Wireless Networks: The Downlink Case , 2008, INFOCOM.

[23]  Ashutosh Sabharwal,et al.  Delay-bounded packet scheduling of bursty traffic over wireless channels , 2004, IEEE Transactions on Information Theory.

[24]  N. Bambos,et al.  Toward power-sensitive network architectures in wireless communications: concepts, issues, and design aspects , 1998, IEEE Wirel. Commun..

[25]  Tatsuya Suda,et al.  An adaptive bandwidth reservation scheme for high-speed multimedia wireless networks , 1998, IEEE J. Sel. Areas Commun..

[26]  Elif Uysal-Biyikoglu,et al.  Energy-efficient scheduling of packet transmissions over wireless networks , 2002, Proceedings.Twenty-First Annual Joint Conference of the IEEE Computer and Communications Societies.

[27]  Dimitri P. Bertsekas,et al.  Data Networks , 1986 .

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

[29]  Alexander L. Stolyar,et al.  Scheduling for multiple flows sharing a time-varying channel: the exponential rule , 2000 .

[30]  Jeffrey G. Andrews,et al.  Fundamentals of WiMAX: Understanding Broadband Wireless Networking (Prentice Hall Communications Engineering and Emerging Technologies Series) , 2007 .

[31]  Andrea J. Goldsmith,et al.  Energy-constrained modulation optimization , 2005, IEEE Transactions on Wireless Communications.

[32]  Gustavo de Veciana,et al.  Energy-efficient adaptive MIMO systems leveraging dynamic spare capacity , 2008, 2008 42nd Annual Conference on Information Sciences and Systems.

[33]  Murali S. Kodialam,et al.  Traffic-Oblivious Routing for Guaranteed Bandwidth Performance , 2007, IEEE Communications Magazine.

[34]  Alexandre Proutière,et al.  Statistical bandwidth sharing: a study of congestion at flow level , 2001, SIGCOMM.

[35]  Gustavo de Veciana,et al.  Measurement-based opportunistic scheduling for heterogenous wireless systems , 2009, IEEE Transactions on Communications.

[36]  Rene L. Cruz,et al.  Transmission Policies for Time Varying Channels with Average Delay Constraints , 1999 .

[37]  Fotios C. Harmantzis,et al.  Financial Assessment of Citywide Wi-Fi / WiMAX Deployment , 2006 .

[38]  Mohamad Assaad,et al.  Cross-Layer design in HSDPA system to reduce the TCP effect , 2006, IEEE Journal on Selected Areas in Communications.

[39]  Elif Uysal-Biyikoglu,et al.  Energy-efficient transmission over a wireless link via lazy packet scheduling , 2001, Proceedings IEEE INFOCOM 2001. Conference on Computer Communications. Twentieth Annual Joint Conference of the IEEE Computer and Communications Society (Cat. No.01CH37213).

[40]  Thomas Bonald,et al.  Congestion at flow level and the impact of user behaviour , 2003, Comput. Networks.

[41]  Gustavo de Veciana,et al.  Architecture and Abstractions for Environment and Traffic Aware System-Level Coordination of Wireless Networks: The Downlink Case , 2008, IEEE INFOCOM 2008 - The 27th Conference on Computer Communications.

[42]  Sem C. Borst User-level performance of channel-aware scheduling algorithms in wireless data networks , 2005, IEEE/ACM Transactions on Networking.

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

[44]  Andrea J. Goldsmith,et al.  Cross-Layer Energy and Delay Optimization in Small-Scale Sensor Networks , 2007, IEEE Transactions on Wireless Communications.