NDLI: Power saving transmission in interference networks

Content Provider	IET Digital Library
Author	Madani, Najmeh Azmi, Paeiz
Abstract	This study proposes a power control scheme to obtain minimum aggregate power in a system composing of interfering links (N-link) while a target sum-rate is met. The authors develop an analytical framework for two interfering links which results in the optimal transmission policy. For N > 2, they propose a suboptimal solution based on successive convex approximation for low-complexity (SCALE) algorithm. They modify the SCALE algorithm to converge to a point satisfying Karush–Kuhn–Tucker conditions when high signal-to-noise-and-interference approximation of rate function is not valid. They also provide a suboptimal solution based on the geometric programming. They perform numerical evaluations in a dense interference environment and compare the performance of the modified SCALE with that of the SCALE algorithm. They also compare the performance of proposed power control with that of sum-rate maximisation of interfering links, in which the individual power constraint on each user is considered. The simulation results indicate that the modified SCALE performs better than the SCALE algorithm. The results also demonstrate that the proposed power control can save power comparing to the sum-rate maximisation in most considered cases.
Starting Page	1574
Ending Page	1581
Page Count	8
ISSN	17518628
Volume Number	11
e-ISSN	17518636
Issue Number	Issue 10, Jul (2017)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-com/11/10
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-com.2016.1278
Journal	IET Communications
Publisher Date	2017-04-03
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Approximation Theory Convex Programming Electromagnetic Compatibility Geometric Programming Interference Interference Environment Interference Network Interfering Link Interpolation And Function Approximation Karush-Kuhn-Tucker Condition Minimum Aggregate Power Numerical Analysis Optimal Transmission Policy Optimisation Technique Power Control Scheme Power Saving Transmission SCALE Algorithm Signal-to-noise-and-interference Approximation Successive Convex Approximation For Low-complexity Sum-rate Maximisation
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Computer Science Applications

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