Optimal Power Control for Fading Channels with Arbitrary Input Distributions and Delay-Sensitive Traffic

05/18/2018
by   Gozde Ozcan, et al.
0

This paper presents the optimal power control policies maximizing the effective capacity achieved with arbitrary input distributions subject to an average power constraint and quality of service (QoS) requirements. The analysis leads to simplified expressions for the optimal power control strategies in the low power regime and two limiting cases, i.e., extremely stringent QoS constraints and vanishing QoS constraints. In the low power regime, the energy efficiency (EE) performance with the constant-power scheme is also determined by characterizing both the minimum energy per bit and wideband slope for arbitrary input signaling and general fading distributions. Subsequently, the results are specialized to Nakagami-m and Rician fading channels. Also, tradeoff between the effective capacity and EE is studied by determining the optimal power control scheme that maximizes the effective capacity subject to constraints on the minimum required EE and average transmission power. Circuit power consumption is explicitly considered in the EE formulation. Through numerical results, the performance comparison between constant-power and optimal power control schemes for different signal constellations and Gaussian signals is carried out. The impact of QoS constraints, input distributions, fading severity, and average transmit power level on the proposed power control schemes, maximum achievable effective capacity and EE is evaluated.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
01/29/2018

On the Effective Energy Efficiency of Ultra-reliable Networks in the Finite Blocklength Regime

Effective Capacity (EC) indicates the maximum communication rate subject...
research
09/24/2022

Energy-Efficient Optimization for HARQ Schemes over Time-Correlated Fading Channels

Energy efficiency of three common hybrid automatic repeat request (HARQ)...
research
01/20/2021

Effective Energy Efficiency of Ultra-reliable Low Latency Communication

Effective Capacity defines the maximum communication rate subject to a s...
research
05/14/2019

Joint Power Control and Rate Allocation enabling Ultra-Reliability and Energy Efficiency in SIMO Wireless Networks

Coming cellular systems are envisioned to open up to new services with s...
research
08/21/2018

Statistical QoS provisioning for MTC Networks under Finite Blocklength

This paper analyzes the effective capacity of delay constrained machine ...
research
07/21/2018

Accurate Energy-Efficient Power Control for Uplink NOMA Systems under Delay Constraint

Machine-type communications (MTC) devices in 5G will use the Non-orthogo...
research
02/19/2019

Effective Capacity and Power Allocation for Machine-Type Communication

Effective capacity (EC) determines the maximum communication rate subjec...

Please sign up or login with your details

Forgot password? Click here to reset