Modulation scaling for energy aware communication systems

By Curt Schurgers, O. Aberthorne, Mani B. Srivastava. ISLPED'01: Proceedings of the 2001 International Symposium on Low Power Electronics and Design (IEEE Cat. No.01TH8581), 2001

316 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/2a0e40bcbac7883d40ce3c39d3dca3ce8eeb597e

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Citations in the corpus

Energy-aware wireless microsensor networks (2002, methodology): “Equation (1) expresses the energy cost for transmitting one bit of information, as a function of the packet payload size L , the header size H , the fixed overhead E start associated with the radio startup transient, and the symbol rate R S for an M -ary modulation scheme [9], [20].”
Energy-efficiency of MIMO and cooperative MIMO techniques in sensor networks (2004, unknown): “Some joint energyminimizing techniques have been proposed for SISO systems in [2]−[6], where multi-mode operation with optimized system parameters is investigated.”
Energy-constrained modulation optimization (2005, unknown): “In [10], uncoded MQAM modulation is analyzed in detail, and optimal strategies to minimize th total energy consumption are proposed for AWGN channels.”
Wireless sensor networks: applications and challenges of ubiquitous sensing (2005, background): “[ D35 ]). Using low-power modi for the processor or disabling the radio is generally advantageous, even though periodically turning a subsystem on and off may be more costly than always keeping it on. Techniques aimed at reducing the idle mode leakage current in CMOS-based processors are also notewo”
Energy-latency tradeoffs for data gathering in wireless sensor networks (2004, methodology): “Further, the output power, Po, and the electronic power, Pe, can be modeled as follows [5]: Po = C R (2b 1) (4) Pe = F R (5)”