Vivek Shrivastava
ABSTRACT
A wide range of transmit power control (TPC) algorithms have been proposed in recent literature to reduce interference and increase capacity in 802.11 wireless networks. However, few of them have made it to practice. In many cases this gap is attributed to lack of suitable hardware support in wireless cards to implement these algorithms. In particular, many research efforts have indicated that wireless card vendors need to support power control mechanisms in a fine-grained manner - both in the number of possible power levels and the time granularity at which the controls can be applied. In this paper we claim that even if fine-grained power control mechanisms were to be made available by wireless card vendors, algorithms would not be able to properly leverage such degrees of control in typical indoor environments. We prove this claim through rigorous empirical analysis and then build a tunable empirical model (Model-TPC) that can determine the granularity of power control that is actually useful. To illustrate the importance of our solution, we conclude by demonstrating the impact of choice of power control granularity on Internet applications where wireless clients interact with servers on the Internet. We observe that the number of feasible power was found to be between 2-4 for most indoor environments. We believe that the results from this study can serve as the right set of assumptions to build practically realizable TPC algorithms in the future.
- ONOE rate control. http://madwifi.org/browser/trubk/ath_rate/onoe.Google Scholar
- P. Steenkiste A. Akella, G. Judd and S. Seshan. Self management in chaotic wireless deployments. In ACM MobiCom 2005. Google ScholarDigital Library
- D.W. Allan. Time and frequency (time domain) characterization, estimation and prediction of precision clocks and oscillators. In IEEE Transactions Nov. '87.Google Scholar
- Hari Balakrishnan Allen Miu, Godfrey Tan and John Apostolopoulos. Divert: Fine-grained path selection for wireless lans. In ACM Mobisys '04. Google ScholarDigital Library
- Y. Bejerano and S. Han. Cell breathing techniques for load balancing in wireless lans. In INFOCOM '06.Google Scholar
- Sanjit Biswas and Robert Morris. ExOR: opportunistic multi-hop routing for wireless networks. In SIGCOMM 2005. Google ScholarDigital Library
- T. M. Cover and J. A. Thomas. Elements of Information Theory, 1991. Google ScholarDigital Library
- Charles Reis et al. Measurement-based models of delivery and interference in static wireless networks. In SIGCOMM '06. Google ScholarDigital Library
- Fehmi Ben Abdesslem et al. On the feasibility of power control in current IEEE 802.11 devices. In PERCOMW 2006.Google Scholar
- P. Gupta and P. Kumar. Capacity of wireless networks. In IEEE Transactions on Information Theory.Google Scholar
- Prashanth Hande, Sundeep Rangan, and Mung Chiang. Distributed uplink power control for optimal SIR assignment in cellular data networks. In INFOCOM, 2006.Google ScholarCross Ref
- V. Bharghavan J. Monks and W. Hwu. A power controlled multiple access protocol for wireless packet networks. In INFOCOM '01.Google Scholar
- Kamol Kaemarungsi and Prashant Krishnamurthy. Modeling of Indoor Positioning Systems Based on Location Fingerprinting. In IEEE INFOCOM '04.Google Scholar
- S. Kullback. Information theory and statistics, 1959.Google Scholar
- J. Lansford and P. Bahl. The Design and Implementation of Home-RF: A Radio-Frequency Wireless Networking Standard for the Connected Home. In IEEE '00: 1662--1676.Google Scholar
- K. Leung and L. Wang. Controlling QoS by Integrated Power Control and Link Adaptation in Broadband Wireless Networks.Google Scholar
- Allen K. Miu, Hari Balakrishnan, and Can E. Koksal. Improving Loss Resilience with Multi-Radio Diversity in Wireless Networks. In MOBICOM '05. Google ScholarDigital Library
- Zvi Rosberg. Asymptotically optimal transmission power and rate control for CDMA channels with multiple user classes. In INFOCOM, 2005.Google ScholarCross Ref
- Anmol Sheth and Richard Han. SHUSH: Reactive Transmit Power Control for Wireless MAC Protocols. In WICON '05. Google ScholarDigital Library
- M. Subbarao. Dynamic power-conscious routing for manets: An initial approach. In IEEE Vehicular Technology Conference '99.Google Scholar
- Chi-Hsiang Yeh. IPMA: An interference/power-aware mac scheme for heterogeneous wireless networks. ISCC, 2003.Google Scholar
- M. Youssef and A. Agrawala. The Horus WLAN Location Determination System. In Mobisys '05. Google ScholarDigital Library
Index Terms
- Understanding the limitations of transmit power control for indoor wlans
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