Results 51 to 60 of about 7,843,751 (374)

An iterative Power Allocation Alogrithm for Energy Efficiency Optimization in Massive MIMO Systems [PDF]

open access: yesEAI Endorsed Transactions on Internet of Things, 2017
In this paper, a transmitting power allocation strategy for users jointed together pre-coding is presented to eliminate inter-users interference and improve the energy efficiency of Massive MIMO systems.
Yuanyuan Ren, Panpan Miao, Yanhui Lu
doaj   +1 more source

Energy-efficient power allocation for point-to-point MIMO systems over the rayleigh fading channel [PDF]

open access: yes, 2012
It is well-established that transmitting at full power is the most spectral-efficient power allocation strategy for point-to-point (P2P) multi-input multi-output (MIMO) systems, however, can this strategy be energy efficient as well?
Héliot, Fabien   +2 more
core   +1 more source

High Speed Railway Wireless Communications: Efficiency v.s. Fairness

open access: yes, 2014
High speed railways (HSRs) have been deployed widely all over the world in recent years. Different from traditional cellular communication, its high mobility makes it essential to implement power allocation along the time.
Dong, Yunquan   +2 more
core   +2 more sources

Optimal Power Allocation over Multiple Identical Gilbert-Elliott Channels

open access: yes, 2013
We study the fundamental problem of power allocation over multiple Gilbert-Elliott communication channels. In a communication system with time varying channel qualities, it is important to allocate the limited transmission power to channels that will be ...
Krishnamachari, Bhaskar   +2 more
core   +1 more source

A General MIMO Framework for NOMA Downlink and Uplink Transmission Based on Signal Alignment [PDF]

open access: yes, 2015
The application of multiple-input multiple-output (MIMO) techniques to non-orthogonal multiple access (NOMA) systems is important to enhance the performance gains of NOMA. In this paper, a novel MIMO-NOMA framework for downlink and uplink transmission is
Ding, Zhiguo   +2 more
core   +2 more sources

Dynamic User Clustering and Power Allocation for Uplink and Downlink Non-Orthogonal Multiple Access (NOMA) Systems [PDF]

open access: yesIEEE Access, 2016
Non-orthogonal multiple access (NOMA) has recently been considered as a key enabling technique for 5G cellular systems. In NOMA, by exploiting the channel gain differences, multiple users are multiplexed into transmission power domain and then non ...
Md Shipon Ali, H. Tabassum, E. Hossain
semanticscholar   +1 more source

Land use change patterns and landscape ecological risk assessment in the process of watershed ecological compensation

open access: yesFrontiers in Environmental Science
As China’s pioneering cross-provincial ecological compensation zone, the upper Xin’an River Basin harbors immense ecological value. However, the long-term effects of its compensation policies on land use dynamics and associated landscape ecological risks
Haitao Chen   +8 more
doaj   +1 more source

Digital-Twin-Assisted Edge-Computing Resource Allocation Based on the Whale Optimization Algorithm

open access: yesSensors, 2022
With the rapid increase of smart Internet of Things (IoT) devices, edge networks generate a large number of computing tasks, which require edge-computing resource devices to complete the calculations.
Shaoming Qiu   +6 more
doaj   +1 more source

Power aware page allocation [PDF]

open access: yesACM SIGPLAN Notices, 2000
One of the major challenges of post-PC computing is the need to reduce energy consumption, thereby extending the lifetime of the batteries that power these mobile devies. Memory is a particularly important target for efforts to improve energy efficiency.
Alvin R. Lebeck   +3 more
openaire   +1 more source

Deep Learning Power Allocation in Massive MIMO [PDF]

open access: yesAsilomar Conference on Signals, Systems and Computers, 2018
This work advocates the use of deep learning to perform max-min and max-prod power allocation in the downlink of Massive MIMO networks. More precisely, a deep neural network is trained to learn the map between the positions of user equipments (UEs) and ...
L. Sanguinetti   +2 more
semanticscholar   +1 more source

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