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Transfer learning for resource allotment in dynamic hybrid WiFi/ LiFi communication systems

OPTICS COMMUNICATIONS 2023年第1期546卷

作者： Verma, Tanya Shrivastava, Shivanshu Dwivedi, Umakant Dhar Kothari, Dwarkadas Prahladadas Rajiv Gandhi Inst Petr Technol Dept Elect Engn Amethi 229304 India THDC Inst Hydropower Engn & Technol Tehri Uttarakhand India

The demand of newer technologies for fifth generation mobile communication systems is high in the current arena. A hybrid form of Free Space Optical (FSO) Communication, also called Light Fidelity (LiFi) Communication, and Wireless Fidelity (WiFi) Communication technologies, has emerged as a promising candidate to fulfill it. Such a system is termed as hybrid WiFi/LiFi Communication System. The joint optimization problem of bandwidth, user association and power for data rate maximization in these hybrid systems is non-concave. Deep Q Network (DQN) Learning based algorithms offer solution to non-concavity. However, existing DQN learning based solutions are often restricted to static networks. They face complexity issues in dynamic networks. In this paper, we address the dynamic hybrid WiFi/LiFi Communication system with DQN transfer learning algorithm. Transfer learning is used to gather information about a newly entering mobile user in the network, thereby improving the overall throughput of the network. Simulations show that the proposed algorithms perform well than the existing optimization algorithms in throughput maximization.

关键词： Wireless Fidelity (WiFi) communication Free Space Optical (FSO) communication or Light Fidelity (LiFi) communication Shannon-capacity data rate maximization Bandwidth allocation Power allocation Association parameter allocation Deep Q network transfer learning

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rate optimization using low complex methods with reconfigurable intelligent surfaces

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Journal of Information and Intelligence 2023年第3期1卷 267-280页

作者： Saber Hassouna Muhammad Ali Jamshed Masood Ur Rehman Muhammad Ali Imran Qammer H.Abbasi James Watt School of Engineering University of GlasgowGlasgow G128QEUK

With the help of a developing technology called reconfigurable intelligent surfaces(RISs),it is possible to modify the propagation environment and boost the data rates of wireless communication *** this article,we optimized the phases of the RIS elements and performed a fair power allocation for each subcarrier over the full bandwidth in a single-input-single-output(SISO)wideband system where the user and the access point(AP)are provided with a single *** data rate or its equivalent channel power is maximized by proposing different low-complex *** strongest tap maximization(STM)and power methods are compared with the semidefinite relaxation(SDR)method in terms of computational complexity and data rate *** and complexity analysis of the suggested methods are computed and compared to reveal the actual time consumption and the required number of operations for each *** results show that with an optimized RIS,the sum rate is 2.5 times higher than with an unconfigured surface,demonstrating the RIS's tremendous advantages even in complex *** data rate performance of the SDR method is higher than the power method and less than the STM method but with higher computational complexity,more than 6 million complex operations,and 50 min of runtime calculations compared with the other STM and power optimization methods.

关键词： Reconfigurable intelligent surfaces(RISs) Orthogonal frequency division multiplexing (OFDM) data rate maximization Semidefinite relaxation(SDR) Strongest tap maximization(SDM) Power method

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Unequal-Slot Based data rate maximization Algorithm for Multiuser OFDMA Systems

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IEEE COMMUNICATIONS LETTERS 2012年第5期16卷 682-684页

作者： Kurdija, Adrian S. Ilic, Zeljko Sisul, Gordan Univ Zagreb Dept Math HR-10000 Zagreb Croatia Fac Elect Engn & Comp Dept Telecommun HR-10000 Zagreb Croatia Fac Elect Engn & Comp Dept Wireless Commun HR-10000 Zagreb Croatia

In this letter, we present an optimal unequal-slot based subchannel allocation algorithm that maximizes total data rate in multiuser Orthogonal Frequency Division Multiple-Access (OFDMA) systems implemented in downlink transmission of wireless broadband networks. Giving the unequal number of subchannels per each slot and fixed order of users, proposed algorithm achieves the maximum total data rate. The expressions for maximum total data rate are derived. The simulation results have shown significant advantages of this approach, especially in the cases when the number of users in the system rises and when the number of subchannels per slot is not predefined.

关键词： OFDMA systems resource allocation data rate maximization

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Cloud-Aided Cognitive Ambient Backscatter Wireless Sensor Networks

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IEEE ACCESS 2019年 7卷 57399-57414页

作者： Darsena, Donatella Gelli, Giacinto Verde, Francesco Parthenope Univ Dept Engn I-80143 Naples Italy Univ Naples Federico II Dept Elect Engn & Informat Technol I-80125 Naples Italy

Cognitive ambient backscatter is a wireless communication paradigm that allows a secondary backscatter device to superimpose its information-bearing data on a primary signal, without requiring any type of power-consuming active components or other signal conditioning units. In such a network, the performance of the backscatter system can be severely degraded by channel estimation errors and co-channel direct-link interference (DLI) from the primary system. To overcome these shortcomings, we consider a cloud radio access network (C-RAN) architecture, where both the primary and secondary edge nodes are connected to a cloud processor via high-speed links. In this centralized architecture, secondary edge nodes provide network access to ambient backscatter passive and semi-passive sensors with communication capabilities, and the problem of acquiring channel state information and suppressing the DLI is managed by the cloud processor. In particular, we assess the performance of the secondary backscatter sensor transmission in a realistic system setup, which takes into account training-based channel estimation, practical modulation constraints, and imperfect DLI suppression. In addition, we formulate and solve an optimization problem aimed at maximizing the transmission rate of the secondary transmission, subject to limits on channel estimation error, average symbol error rate, power consumption, and energy storage capabilities of the backscatter sensor. The validity of our analysis and the performance of the secondary system based on the proposed designs are corroborated through the Monte Carlo simulations.

关键词： Ambient backscatter cloud radio access network cognitive radio data rate maximization energy harvesting interference suppression passive and semi-passive sensors performance analysis

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data rate maximization by Adaptive Thresholding RF Power Management under Renewable Energy

Data Rate Maximization by Adaptive Thresholding RF Power Man...

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IEEE International Conference on Computer Design

作者： Tang, Weiguo Wang, Lei Univ Connecticut Dept Elect & Comp Engn Storrs CT 06269 USA

ISBN: (纸本)9781424489350

A new adaptive thresholding power management (ATPM) scheme is proposed to maximize the data rate of RF circuits in distributed embedded systems powered by renewable energy. Considering time-varying fading channels and statistical energy harvesting processes, we propose to turn on RF circuits only when the channel gain is higher than a threshold, and adjust the RF power according to the energy availability to improve the overall data rate. Exploiting the fact that the optimal threshold is a function of variable renewable energy subject to environmental changes, we adaptively adjust the threshold in accordance with renewable energy to improve energy efficiency. Simulation results based on solar energy indicate that the proposed ATPM scheme increases the average data rate by up to 60% compared with the scheme without channel gain thresholding, and achieves over 5X improvement in data rate over the constant power scheme with the same RF power consumption.

关键词： RF circuit adaptive thresholding power management scheme data rate maximization distributed embedded system embedded systems energy efficiency energy harvesting fading channels power aware computing renewable energy renewable energy sources solar energy statistical energy harvesting process time-varying channels time-varying fading channel

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Profile-Based Load Scheduling in Wireless Energy Harvesting Sensors for data rate maximization

Profile-Based Load Scheduling in Wireless Energy Harvesting ...

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2010 IEEE International Conference on Communications

作者： Reddy, Srinivas Murthy, Chandra R. Indian Inst Sci ECE Dept SPC Lab Bangalore 560012 KA India

ISBN: (纸本)9781424464043

In this paper, power management algorithms for energy harvesting sensors (EHS) that operate purely based on energy harvested from the environment are proposed. To maintain energy neutrality, EHS nodes schedule their utilization of the harvested power so as to save/draw energy into/from an inefficient battery during peak/low energy harvesting periods, respectively. Under this constraint, one of the key system design goals is to transmit as much data as possible given the energy harvesting profile. For implementational simplicity, it is assumed that the EHS transmits at a constant data rate with power control, when the channel is sufficiently good. By converting the data rate maximization problem into a convex optimization problem, the optimal load scheduling (power management) algorithm that maximizes the average data rate subject to energy neutrality is derived. Also, the energy storage requirements on the battery for implementing the proposed algorithm are calculated. Further, robust schemes that account for the insufficiency of battery storage capacity, or errors in the prediction of the harvested power are proposed. The superior performance of the proposed algorithms over conventional scheduling schemes are demonstrated through computations using numerical data from solar energy harvesting databases.

关键词： Energy harvesting sensors power management solar power profile data rate maximization fading channels

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Power Management and data rate maximization in Wireless Energy Harvesting Sensors

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INTERNATIONAL JOURNAL OF WIRELESS INFORMATION NETWORKS 2009年第3期16卷 102-117页

作者： Murthy, Chandra R. Indian Inst Sci Dept ECE Bangalore 560012 Karnataka India

This paper considers the problem of power management and throughput maximization for energy neutral operation when using an energy harvesting sensor (EHS) to send data over a wireless link. The EHS is assumed to be able to harvest energy at a constant rate, and use a fixed part of the energy harvested in a slot for measuring the channel state. The rest of the energy harvested is available for transmission, however, it can be stored in an inefficient battery if it is not fully utilized. The key constraint that the EHS needs to satisfy is energy neutrality, i. e., the expected energy drawn from the battery should equal the expected energy deposited into the battery. In this scenario, two popular models for data transmission are contrasted: the constant bit rate (CBR) model and the variable bit rate (VBR) model. In the CBR model, it is assumed that the EHS are designed to transmit data at a constant rate (using a fixed modulation and coding scheme) but are power-controlled. In the VBR model, the EHS selects both the transmit power and the data rate of transmission in each slot based on the channel instantiation. A framework under which the system designer can optimize several parameters of the EHS that determine the average data rate performance when the channel is Rayleigh fading is developed. Using this framework, the two transmission schemes are contrasted. It is shown that, with the right choice of parameter settings, the CBR scheme can perform nearly as well as the VBR scheme at significantly lower complextiy. The usefulness and validity of the framework developed is illustrated through simulations for specific examples.

关键词： Energy harvesting sensors data rate maximization Power management

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Wireless Information and Energy Transfer in Interference Aware Massive MIMO Systems

Wireless Information and Energy Transfer in Interference Awa...

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IEEE Global Communications Conference

作者： Hengzhi Wang Wei Wang Xiaoming Chen Zhaoyang Zhang Dept. of Information Science and Electronic Engineering Zhejiang Key Lab. of Information Network Technology Zhejiang University Colg. of Electronic and Information Engineering Nanjing Univ. of Aeronautics and Astronautics

ISBN: (纸本)9781479935130

Wireless information and energy transfer (WIET) is a prominent technology to prolong the lifetime of battery-charging wireless networks. In this paper, we exploit the benefit of massive MIMO for WIET under external interference, and propose the antenna partition for information decoding and energy harvesting. Considering the effects of the external interference, i.e., interfering the information reception and benefiting the energy harvesting, we analyze the tradeoff between the data rate and the harvested energy, and obtain the achievable rate-energy (R-E) region. Then, we propose a low-complexity receive antenna partition algorithm for WIET in massive MIMO systems with the consideration of interference mitigation. The algorithm maximizes the data rate while guaranteeing a minimum harvested energy. It is found that the SNR of the low-complexity algorithm is at least an approximable half of the optimal SNR. Simulation results verify our theoretical claims and show the effectiveness of the proposed low-complexity antenna partition algorithm.

关键词： MIMO communication antennas decoding energy harvesting radio networks radiofrequency interference telecommunication power management WIET battery-charging wireless networks data rate maximization external interference information decoding information reception interference aware massive MIMO systems interference mitigation low-complexity receive antenna partition algorithm rate-energy region wireless information-and-energy transfer Antenna accessories Interference Partitioning algorithms Receiving antennas Signal to noise ratio

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Power Management and data rate maximization in Wireless Energy Harvesting Sensors

Power Management and Data Rate Maximization in Wireless Ener...

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19th IEEE International Symposium on Personal, Indoor and Mobile Radio Communications

作者： Murthy, Chandra R. Indian Inst Sci Dept ECE Bangalore 560012 Karnataka India

ISBN: (纸本)9781424426430

This paper considers the problem of power management and throughput maximization for energy neutral operation when using Energy Harvesting Sensors (EHS) to send data over wireless links. It is assumed that the EHS are designed to transmit data at a constant rate (using a fixed modulation and coding scheme) but are power-controlled. A framework under which the system designer can optimize the performance of EHS when the channel is Rayleigh fading is developed. For example, the highest average data rate that can be supported over a Rayleigh fading channel given the energy harvesting capability, the battery power storage efficiency and the maximum allowed transmit energy per slot is derived. Furthermore, the optimum transmission scheme that guarantees a particular data throughput is derived. The usefulness of the framework developed is illustrated through simulation results for specific examples.

关键词： Energy harvesting sensors data rate maximization power management

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data rate maximization under joint energy and DOS constraints in multichannel communications

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IEICE TRANSACTIONS ON COMMUNICATIONS 2002年第11期E85B卷 2369-2378页

作者： Hung, CT Lay, KT Natl Taiwan Univ Sci & Technol Dept Elect Engn Taipei Taiwan

In this paper, three algorithms are proposed for rate maximization (RM) of transmitted data in multichannel (MC) communications, subject to joint constraints on available energy budget and tolerable degradation of service (DOS). Altogether referred to as the RM algorithms, they consist of the EADRM, the DADRM, and the fDADRM algorithms. Based oil the rate-distortion optimization theory, closed-form expressions for optimally distributing the energy (for EADRM) or DOS (for DADRM and fDADRM) among the subchannels (SC's) are derived, when the bit allocation is pre-specific. The specification of bit allocations is achieved by the use of the so-called eligible bit allocation matrix (EBAM), which is a function of the total data rate and the number of SCs. A greedy approach is adopted, where the total data rate is kept oil raising until the relevant constraints can no longer be satisfied. While all three W algorithms essentially generate identical maximum data rates, the fDADRM algorithm is much faster than the other two in computation. As compared to the result achievable by a single-channel communication scheme, the RM algorithms produce a much higher data rate for spectrally shaped channels.

关键词： multichannel communication bit allocation degradation of service data rate maximization rate distortion

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