Energy Harvesting Cooperative Communication Systems

Minasian, Arin; Shahbazpanahi, Shahram; Adve, Raviraj

doi:10.1109/twc.2014.2320977

Cited by 76 publications

(63 citation statements)

References 25 publications

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“…To tackle this problem, recently, energy harvesting AF relaying has been proposed [2] - [8]. For example, in [2], assuming a stationary and ergodic process for the energy harvested by the relay, the symbol error rate was derived by considering energy-constrained and energy-unconstrained relays.…”

Section: Introductionmentioning

confidence: 99%

“…The authors in [7] considered a joint power splitting and antenna selection scheme, where the relay is equipped with multiple antennas to harvest the energy from the source node and hence, it can choose the best portion of power splitting and the best antenna to maximize the achievable rate. In [8], the authors derived optimal power allocations that maximize the throughput when different knowledge of harvested energy and channel state is available.…”

Section: Introductionmentioning

confidence: 99%

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Energy-Harvesting AF Relaying in the Presence of Interference and Nakagami-$m$ Fading

Chen

2016

IEEE Trans. Wireless Commun.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Energy-Harvesting AF Relaying in the Presence of Interference and Nakagami-$m$ Fading

Chen

2016

IEEE Trans. Wireless Commun.

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“…We assume that the reader decodes the information after combining the signals received from T i and T j by using MRC. Accordingly, the total end-toend SNR at R when T j is used as an AF relay can be written as [9], [10]:…”

Section: A Communication System Modelmentioning

confidence: 99%

Cooperative Transmission Scheme of Energy Harvesting Tags

Mulatu¹

2017

WCMC

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Abstract:Energy harvesting tags with cooperative communication capabilities are recently emerging as a viable infrastructure for internet of things (IoT) applications. This letter studies the cooperative transmission strategy for a network of energy harvesting active networked tags (EnHANTs), that is adapted to the available energy resource and identification request. We consider a network of tags to communicate with the reader either directly or by cooperating with neighboring tags. We formulate the problem as a Markov decision process (MDP). The simulation results are provided to show the performance of the cooperative transmission policy under various energy harvesting scenarios.

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“…Besides, we also compare the proposed online algorithm with the Markov decision process (MDP)-based algorithm [35]. It is assumed that energy arrives at time t =[ 1, 2, 3, .…”

Section: Performance Evaluation and Analysismentioning

confidence: 99%

Optimal joint transmission and harvested energy scheduling for renewable energy harvesting enabled cellular network under coordinated multi-point transmission

Wang

Huang

et al. 2015

J Wireless Com Network

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On-grid energy consumption of base stations (BSs) contributes up a significant fraction of the total carbon dioxide (CO 2 ) emissions of cellular networks, among which remote radio units (RRUs) absorb most of the energy consumption. To eliminate the on-grid energy consumption and the corresponding CO 2 emission, we propose a new transmission framework, in which all RRUs and associated power amplifiers (PAs) are powered by hybrid energy sources including on-grid energy source and off-grid renewable energy source. Based on the framework, we pursue a systematic study on the joint transmission and harvested energy scheduling algorithm for the hybrid energy powered cellular transmission system under coordinated multi-point (CoMP) transmission. Firstly, we formulate an optimal offline transmission scheduling problem with a priori knowledge about channel state information (CSI), under constraint of available amount of harvested energy and stored energy at each transmission time interval. Considering a practical constraint of limited pre-knowledge about CSI, we further transform the offline problem into an energy-aware energy efficient transmission problem. To solve the proposed problems, we undertake a convex optimization method to the optimal offline transmission scheduling problem and design corresponding optimal offline joint transmission and energy scheduling algorithm, which provides the upper bound on actual system performance. Then, we extend the non-linear fractional programming to the transmission scheduling problem with limited pre-knowledge about CSI and design corresponding joint transmission and energy scheduling algorithm, named as online algorithm. Numerical results show that the performance of the proposed online algorithm is close to that of the obtained upper bound and outperforms the existing algorithm. We also find that at each transmission time interval during the finite transmission period, the transmit power of each RRU is proportional to the weighted channel-gain-to-noise ratio (CNR) of each sub-channel.

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Energy Harvesting Cooperative Communication Systems

Cited by 76 publications

References 25 publications

Energy-Harvesting AF Relaying in the Presence of Interference and Nakagami-$m$ Fading

Energy-Harvesting AF Relaying in the Presence of Interference and Nakagami-$m$ Fading

Cooperative Transmission Scheme of Energy Harvesting Tags

Optimal joint transmission and harvested energy scheduling for renewable energy harvesting enabled cellular network under coordinated multi-point transmission

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