Visible to the public Optimal Power Control and Rate Adaptation for Ultra-Reliable M2M Control Applications

TitleOptimal Power Control and Rate Adaptation for Ultra-Reliable M2M Control Applications
Publication TypeConference Paper
Year of Publication2015
AuthorsFarayev, B., Sadi, Y., Ergen, S. C.
Conference Name2015 IEEE Globecom Workshops (GC Wkshps)
Date Publisheddec
KeywordsAdaptation models, additive white Gaussian noise wireless channel, AWGN channels, AWGN wireless channel, continuous rate transmission, delay error, delays, discrete rate transmission, energy consumption, Information theory, limited battery resources, Mobile communication, optimal control, optimal power control, Optimization, packet error, polynomial time algorithm, power consumption, power control, pubcrawl170110, rate adaptation problem, reliability requirements, Scheduling algorithms, sensor nodes, Shannon capacity formulation, signal-to-interference-plus-noise ratio, SINR, stringent timing, telecommunication control, telecommunication power management, telecommunication scheduling, transmission delay, transmission power, transmission schedule, transmitting nodes, ultrareliable M2M control, ultrareliable machine-to-machine control, wireless channels, Wireless communication

The main challenge of ultra-reliable machine-to-machine (M2M) control applications is to meet the stringent timing and reliability requirements of control systems, despite the adverse properties of wireless communication for delay and packet errors, and limited battery resources of the sensor nodes. Since the transmission delay and energy consumption of a sensor node are determined by the transmission power and rate of that sensor node and the concurrently transmitting nodes, the transmission schedule should be optimized jointly with the transmission power and rate of the sensor nodes. Previously, it has been shown that the optimization of power control and rate adaptation for each node subset can be separately formulated, solved and then used in the scheduling algorithm in the optimal solution of the joint optimization of power control, rate adaptation and scheduling problem. However, the power control and rate adaptation problem has been only formulated and solved for continuous rate transmission model, in which Shannon's capacity formulation for an Additive White Gaussian Noise (AWGN) wireless channel is used in the calculation of the maximum achievable rate as a function of Signal-to-Interference-plus-Noise Ratio (SINR). In this paper, we formulate the power control and rate adaptation problem with the objective of minimizing the time required for the concurrent transmission of a set of sensor nodes while satisfying their transmission delay, reliability and energy consumption requirements based on the more realistic discrete rate transmission model, in which only a finite set of transmit rates are supported. We propose a polynomial time algorithm to solve this problem and prove the optimality of the proposed algorithm. We then combine it with the previously proposed scheduling algorithms and demonstrate its close to optimal performance via extensive simulations.

Citation Keyfarayev_optimal_2015