A context-aware approach to wireless transmission adaptation

Recent advancements in wireless transmission have enabled networks with a high level of physical layer flexibility. Unfortunately, these new opportunities are not harnessed by modern wireless systems. Due to inefficient resource allocation, systems typically encounter problems such as spectrum scarcity, energy depletion or low quality of service. In this paper we consider the problem of physical layer parameter adaptation in a flexible wireless system. We observe that for many practical purposes the acceptable quality of communication depends on the interplay among the packet loss ratio, energy savings and spectrum utilization. We harness this fact and propose a context-aware physical layer parameter adaptation solution, WhiteRate. Our solution adjusts the modulation level, coding scheme and channel width to achieve the communication profile that matches application requirements. We implement WhiteRate in GNUradio and evaluate it in both indoor and outdoor environments. We demonstrate improvements on two important fronts: spectrum utilization and energy efficiency. Moreover, we show that by using WhiteRate, both benefits can be achieved simultaneously.

[1]  Veljko Pejovic,et al.  Energy-efficient communication in next generation rural-area wireless networks , 2010, CoRoNet '10.

[2]  Ratul Mahajan,et al.  Measurement-based characterization of 802.11 in a hotspot setting , 2005, E-WIND '05.

[3]  Paramvir Bahl,et al.  A case for adapting channel width in wireless networks , 2008, SIGCOMM '08.

[4]  Edward W. Knightly,et al.  Modulation Rate Adaptation in Urban and Vehicular Environments: Cross-Layer Implementation and Experimental Evaluation , 2008, IEEE/ACM Transactions on Networking.

[5]  J.E. Mazo,et al.  Digital communications , 1985, Proceedings of the IEEE.

[6]  Patrick Le Callet,et al.  PERCEPTUAL EFFECTS OF PACKET LOSS ON H.264/AVC ENCODED VIDEOS , 2009 .

[7]  John C. Bicket,et al.  Bit-rate selection in wireless networks , 2005 .

[8]  Sai Shankar Nandagopalan,et al.  IEEE 802.22: An Introduction to the First Wireless Standard based on Cognitive Radios , 2006, J. Commun..

[9]  Srinivasan Seshan,et al.  Enabling MAC Protocol Implementations on Software-Defined Radios , 2009, NSDI.

[10]  Gerald W. Neufeld,et al.  Transport of MPEG-2 Video in a Routed IP Network , 1999, IDMS.

[11]  Hari Balakrishnan,et al.  Cross-layer wireless bit rate adaptation , 2009, SIGCOMM '09.

[12]  John Terry,et al.  OFDM Wireless LANs: A Theoretical and Practical Guide , 2001 .

[13]  Paramvir Bahl,et al.  White space networking with wi-fi like connectivity , 2009, SIGCOMM '09.

[14]  Eytan Modiano,et al.  A calculus approach to minimum energy transmission policies with quality of service guarantees , 2005, Proceedings IEEE 24th Annual Joint Conference of the IEEE Computer and Communications Societies..

[15]  Lei Yang,et al.  Supporting Demanding Wireless Applications with Frequency-agile Radios , 2010, NSDI.

[16]  Mahesh K. Marina,et al.  An Energy-Flow Model for Self-Powered Routers and its Application for Energy-Aware Routing , 2009 .

[17]  Vaduvur Bharghavan,et al.  Robust rate adaptation for 802.11 wireless networks , 2006, MobiCom '06.

[18]  Geoffrey Ye Li,et al.  Energy-efficient link adaptation in frequency-selective channels , 2010, IEEE Transactions on Communications.

[19]  Dina Katabi,et al.  Frequency-aware rate adaptation and MAC protocols , 2009, MobiCom '09.

[20]  Kameswari Chebrolu,et al.  Wake-on-WLAN , 2006, WWW '06.

[21]  Dina Katabi,et al.  One-Size-Fits-All Wireless Video , 2009, HotNets.