A Framework for Weighted-Sum Energy Efficiency Maximization in Wireless Networks
نویسندگان
چکیده
منابع مشابه
Weighted Sum-Rate Maximization in Wireless Networks: A Review
A wide variety of resource management problems of recent interest, including power/rate control, link scheduling, cross-layer control, network utility maximization, beamformer design of multiple-input multiple-output networks, and many others are directly or indirectly reliant on the weighted sum-rate maximization (WSRMax) problem. In general, this problem is very difficult to solve and is NP-h...
متن کاملAchieving Global Optimality for Energy Efficiency Maximization in Wireless Networks
The characterization of the global maximum of energy efficiency (EE) problems in wireless networks is a challenging problem due to its nonconvex nature in interference channels. The aim of this work is to develop a new and general framework to achieve globally optimal power control solutions. First, the hidden monotonic structure of the most common EE maximization problems is exploited jointly ...
متن کاملA new SDN-based framework for wireless local area networks
Nowadays wireless networks are becoming important in personal and public communication andgrowing very rapidly. Similarly, Software Dened Network (SDN) is an emerging approach to over-come challenges of traditional networks. In this paper, a new SDN-based framework is proposedto ne-grained control of 802.11 Wireless LANs. This work describes the benets of programmableAcc...
متن کاملAgent-based Framework for Energy Efficiency in Wireless Sensor Networks
Wireless sensor networks are consisted of hundreds or thousands of small sensors that have limited resources. Energy-efficient techniques are the main issue of wireless sensor networks. This paper proposes an energy efficient agent-based framework in wireless sensor networks. We adopt biologically inspired approaches for wireless sensor networks. Agent operates automatically with their behavior...
متن کاملRobust Weighted Sum Harvested Energy Maximization for SWIPT Cognitive Radio Networks Based on Particle Swarm Optimization
In this paper, we consider multiuser simultaneous wireless information and power transfer (SWIPT) for cognitive radio systems where a secondary transmitter (ST) with an antenna array provides information and energy to multiple single-antenna secondary receivers (SRs) equipped with a power splitting (PS) receiving scheme when multiple primary users (PUs) exist. The main objective of the paper is...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Wireless Communications Letters
سال: 2019
ISSN: 2162-2337,2162-2345
DOI: 10.1109/lwc.2018.2864644