Reduced complexity schemes to greedy power allocation for multicarrier systems [PDF]
, 2010 Discrete bit loading for multicarrier systems based on the greedy power allocation (GPA) algorithm is considered in this paper. A new suboptimal scheme that independently performs GPA on groups of subcarriers and therefore can significantly reduce ...
Al-Hanafy, Waleed, Weiss, S.
core +6 more sources
Performance Analysis and Power Allocation for Cooperative ISAC Networks
IEEE Internet of Things Journal, 2023 To mitigate the overlapping of the radar and communication frequency bands caused by large-scale devices access, we propose a novel integrated sensing and communication (ISAC) system, where a micro base station (MiBS) simultaneously carries out both ...
Meng Liu +7 more
semanticscholar +1 more source
Suboptimal greedy power allocation schemes for discrete bit loading [PDF]
, 2013 In this paper we consider low cost discrete bit loading based on greedy power allocation (GPA) under the constraints of total transmit power budget, target BER, and maximum permissible QAM modulation order.
Weiss, Stephan +1 more
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Unfolding WMMSE Using Graph Neural Networks for Efficient Power Allocation [PDF]
IEEE Transactions on Wireless Communications, 2020 We study the problem of optimal power allocation in a single-hop ad hoc wireless network. In solving this problem, we depart from classical purely model-based approaches and propose a hybrid method that retains key modeling elements in conjunction with ...
Arindam Chowdhury +4 more
semanticscholar +1 more source
Dynamic Power Allocation for Cell-Free Massive MIMO: Deep Reinforcement Learning Methods
IEEE Access, 2021 Power allocation plays a central role in cell-free (CF) massive multiple-input multiple-output (MIMO) systems. Many effective methods, e.g., the weighted minimum mean square error (WMMSE) algorithm, have been developed for optimizing the power allocation.
Yu Zhao +2 more
semanticscholar +1 more source
Efficient Downlink Power Allocation Algorithms for Cell-Free Massive MIMO Systems
IEEE Open Journal of the Communications Society, 2021 Cell-free Massive MIMO systems consist of a large number of geographically distributed access points (APs) that serve the users by coherent joint transmission.
Sucharita Chakraborty +3 more
semanticscholar +1 more source
Multi-Agent Deep Reinforcement Learning for Dynamic Power Allocation in Wireless Networks [PDF]
IEEE Journal on Selected Areas in Communications, 2018 This work demonstrates the potential of deep reinforcement learning techniques for transmit power control in wireless networks. Existing techniques typically find near-optimal power allocations by solving a challenging optimization problem. Most of these
Yasar Sinan Nasir, Dongning Guo
semanticscholar +1 more source
Radio resource allocation in relay based OFDMA cellular networks [PDF]
, 2010 PhDAdding relay stations (RS) between the base station (BS) and the mobile stations (MS) in a cellular system can extend network coverage, overcome multi-path fading and increase the capacity of the system.
Xiao, Lin
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Reconfigurable Intelligent Surfaces Aided mmWave NOMA: Joint Power Allocation, Phase Shifts, and Hybrid Beamforming Optimization [PDF]
IEEE Transactions on Wireless Communications, 2020 In this paper, a reconfigurable intelligent surface (RIS)-aided millimeter wave (mmWave) non-orthogonal multiple access (NOMA) system is analyzed. In particular, we consider an RIS-aided mmWave-NOMA downlink system with a hybrid beamforming structure. To
Yue Xiu +6 more
semanticscholar +1 more source
The Active Power and Reactive Power Dispatch Plan of DFIG Based Wind Farm Considering Wind Power Curtailment [PDF]
International Journal of Computational Intelligence Systems, 2015 In normal operation, doubly-fed induction generator (DFIG) can generate certain range of reactive power and the DFIG based wind farm can participate in reactive power control of grid as a reactive power supply.
Zengping Wang, Lefeng Zhang, Guohuang Li
doaj +1 more source