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Power aware page allocation [PDF]
ACM 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
+6 more sources
The Optimal Allocation of Power in Organizations [PDF]
SSRN Electronic Journal, 2000 Starting from the separation between formal and real authority, the paper considers a hierarchical relation where delegation of control can be used as an incentive mechanism. It shows that delegation is optimal when parties’ interests are neither too divergent nor too close.
Emanuela Carbonara
openalex +7 more sources
Power Allocation Schemes for Multicell Massive MIMO Systems [PDF]
arXiv, 2015 This paper investigates the sum-rate gains brought by power allocation strategies in multicell massive multipleinput multiple-output systems, assuming time-division duplex transmission. For both uplink and downlink, we derive tractable expressions for the achievable rate with zero-forcing receivers and precoders respectively.
Jin, Shi +4 more
arxiv +3 more sources
Optimal Power Allocation over Multiple Identical Gilbert-Elliott Channels [PDF]
arXiv, 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 in good state.
Krishnamachari, Bhaskar +2 more
arxiv +3 more sources
Optimal power allocation for a wireless cooperative network with UAV [PDF]
PeerJ Computer Science, 2022 The main objective of this work was to investigate the optimal power allocation strategy in the UAV cooperative wireless Decode and Forward (DF) relay network. Firstly, the outage probability of the system with and without diversity gain was derived. Two
Jing Yan +3 more
doaj +3 more sources
On Optimal Power Allocation for Downlink Non-Orthogonal Multiple Access Systems [PDF]
IEEE Journal on Selected Areas in Communications, 2017 Non-orthogonal multiple access (NOMA) enables power-domain multiplexing via successive interference cancellation (SIC) and has been viewed as a promising technology for 5G communication. The full benefit of NOMA depends on resource allocation, including power allocation and channel assignment, for all users, which, however, leads to mixed integer ...
Jiaheng Wang +4 more
arxiv +3 more sources
Optimal Bandwidth and Power Allocation for Sum Ergodic Capacity under Fading Channels in Cognitive Radio Networks [PDF]
X. Gong, S.A. Vorobyov, C. Tellambura, "Optimal bandwidth and
power allocation for sum ergodic capacity under fading channels in cognitive
radio networks," IEEE Trans. Signal Processing, vol. 59, no. 4, pp.
1814-1826, Apr. 2011, 2010 This paper studies optimal bandwidth and power allocation in a cognitive radio network where multiple secondary users (SUs) share the licensed spectrum of a primary user (PU) under fading channels using the frequency division multiple access scheme. The sum ergodic capacity of all the SUs is taken as the performance metric of the network.
Gong, Xiaowen +2 more
arxiv +3 more sources
Power Allocation for D2D Communications With SWIPT
IEEE Transactions on Wireless Communications, 2020 Power allocation plays a vital role in coordinating interference between Device-to-Device (D2D) and cellular communications, and when power allocation meets simultaneous wireless information and power transfer (SWIPT), the energy efficiency of D2D communications can be significantly improved.
Jun Huang +2 more
openaire +5 more sources
Low-Complexity Power Allocation in NOMA Systems With Imperfect SIC for Maximizing Weighted Sum-Rate
IEEE Access, 2019 In this paper, we investigate the power allocation for maximizing weighted sum rate (WSR) in downlink multiple carriers non-orthogonal multiple access (MC-NOMA) systems with imperfect successive interference cancellation (SIC).
Xiaoming Wang +3 more
doaj +2 more sources
Deep Learning Power Allocation in Massive MIMO [PDF]
2018 52nd Asilomar 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 the optimal power allocation policies, and then used to predict the power allocation profiles for a ...
Sanguinetti L., Zappone A., Debbah M.
openaire +4 more sources