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24
Simultaneous information and energy transfer in large-scale networks with/without relaying
- IEEE Trans. Commun
, 2014
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Optimal Random Access and Random Spectrum Sensing for an Energy Harvesting Cognitive Radio with and without Primary Feedback Leveraging
"... We consider a secondary user (SU) with energy harvesting capability. We design access schemes for the SU which incorporate random spectrum sensing and random access, and which make use of the primary automatic repeat request (ARQ) feedback. We study two problem-formulations. In the first problem-for ..."
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Cited by 8 (7 self)
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We consider a secondary user (SU) with energy harvesting capability. We design access schemes for the SU which incorporate random spectrum sensing and random access, and which make use of the primary automatic repeat request (ARQ) feedback. We study two problem-formulations. In the first problem-formulation, we characterize the stability region of the proposed schemes. The sensing and access probabilities are obtained such that the secondary throughput is maximized under the constraints that both the primary and secondary queues are stable. Whereas in the second problem-formulation, the sensing and access probabilities are obtained such that the secondary throughput is maximized under the stability of the primary queue and that the primary queueing delay is kept lower than a specified value needed to guarantee a certain quality of service (QoS) for the primary user (PU). We consider spectrum sensing errors and assume multipacket reception (MPR) capabilities. Numerical results show the enhanced performance of our proposed systems.
Base station sleeping and resource allocation in renewable energy powered cellular networks
- IEEE Transactions on Wireless Communications, submitted. Available: http://arxiv.org/abs/1305.4996
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Energy-Aware Resource Allocation for Energy Harvesting Wireless Communication Systems
"... Abstract—This paper studies the resource allocation problem of a single cell powered jointly by renewable energy and power grid over a given time period (e.g. 24 hours), using statistical information of traffic intensity and harvested energy. Specifically, the problem is formulated as minimizing the ..."
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Abstract—This paper studies the resource allocation problem of a single cell powered jointly by renewable energy and power grid over a given time period (e.g. 24 hours), using statistical information of traffic intensity and harvested energy. Specifically, the problem is formulated as minimizing the average grid power input while satisfying users ’ quality of service (outage probability) requirements. We analyze the outage probability, and solve the grid power minimization problem indirectly by obtaining a power-outage tradeoff curve using the dynamic programming (DP) approach. Some heuristic algorithms are proposed and compared with the DP algorithm by simulations. The results show that the DP algorithm greatly reduces the grid power consumption compared with the heuristic methods, among which the joint traffic-energy-aware resource allocation performs closest to the optimal solution. I.
Power Control Policies for a Wireless Link with Energy Harvesting Transmitter and Receiver
"... Abstract—This paper addresses the outage minimization problem for a wireless link where both the transmitter and the receiver are powered by harvested energy, and the energy arrival processes of both nodes are correlated. We propose three power control policies to minimize the outage probabil-ity, i ..."
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Abstract—This paper addresses the outage minimization problem for a wireless link where both the transmitter and the receiver are powered by harvested energy, and the energy arrival processes of both nodes are correlated. We propose three power control policies to minimize the outage probabil-ity, including threshold-based On-Off policy, joint scheduling policy, and linear power levels policy. With infinite battery capacity, we analyze the optimality of the thresholds with dif-ferent correlations between energy arrivals at the transmitter and the receiver. With finite battery capacity, we use finite state Markov chain (FSMC) to obtain the optimality of our policies and also numerically evaluate their performance. The optimal thresholds for minimum outages are derived according to the average energy arrival rate and the system parameters. The numerical results show the performance gains using different policies, as well as the tradeoff between the minimum outage probabilities and the average transmission times. I.
Cooperative cognitive relaying protocol for an energy harvesting cognitive radio user.” Available [Online]:http://arxiv.org/pdf/1401.3387v1.pdf
, 2014
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Network-Level Cooperation in Energy Harvesting Wireless Networks
, 2014
"... Abstract—We consider a two-hop communication network consisted of a source node, a relay and a destination node in which the source and the relay node have external traffic arrivals. The relay forwards a fraction of the source node’s traffic to the destination and the cooperation is performed at the ..."
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Abstract—We consider a two-hop communication network consisted of a source node, a relay and a destination node in which the source and the relay node have external traffic arrivals. The relay forwards a fraction of the source node’s traffic to the destination and the cooperation is performed at the network level. In addition, both source and relay nodes have energy harvesting capabilities and an unlimited battery to store the harvested energy. We study the impact of the energy constraints on the stability region. Specifically, we provide inner and outer bounds on the stability region of the two-hop network with energy harvesting source and relay. I.
Outage Minimization for a Fading Wireless Link with Energy Harvesting Transmitter and Receiver
- in preparation. 2014 12th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt)467
"... Abstract—This paper studies online power control policies for outage minimization in a fading wireless link with energy har-vesting transmitter and receiver. The outage occurs when either the transmitter or the receiver does not have enough energy, or the channel is in outage, where the transmitter ..."
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Abstract—This paper studies online power control policies for outage minimization in a fading wireless link with energy har-vesting transmitter and receiver. The outage occurs when either the transmitter or the receiver does not have enough energy, or the channel is in outage, where the transmitter only has the channel distribution information. Under infinite battery capac-ity and without retransmission, we prove that threshold-based power control policies are optimal. We thus propose disjoint/joint threshold-based policies with and without battery state sharing between the transmitter and receiver, respectively. We also analyze the impact of practical receiver detection and processing on the outage performance. When retransmission is considered, policy with linear power levels is adopted to adapt the power thresholds per retransmission. With finite battery capacity, a three dimen-sional finite state Markov chain is formulated to calculate the optimal parameters and corresponding performance of proposed policies. The energy arrival correlation between the transmitter and receiver is addressed for both finite and infinite battery cases. Numerical results show the impact of battery capacity, energy arrival correlation and detection cost on the outage performance of the proposed policies, as well as the tradeoff between the outage probability and the average transmission times. Index Terms—Energy harvesting (EH), outage minimization, circuit power, power control, finite state Markov chain (FSMC). I.
Sleep Control for Base Stations Powered by Heterogeneous Energy Sources (Invited Paper)
"... Abstract—This paper considers a cellular network with base stations (BSs) powered by heterogeneous energy sources, i.e., besides conventional BSs connected to the power grid, some BSs are purely powered by the renewable energy. BS sleep is introduced not only to save grid power, but also to store re ..."
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Abstract—This paper considers a cellular network with base stations (BSs) powered by heterogeneous energy sources, i.e., besides conventional BSs connected to the power grid, some BSs are purely powered by the renewable energy. BS sleep is introduced not only to save grid power, but also to store renewable energy for future use when the temporal traffic variation does not match with the energy arrivals. The challenge of the BS sleep control lies in the possible energy outage of those BS powered by the renewable energy, and this will lead to network coverage hole and thus severely affect the service quality. The optimal sleep policy is obtained through dynamic programming, and due to its high complexity, we further propose a simple heuristic algorithm. By simulations, we evaluate and compare the proposed algorithms with a greedy scheme that utilizes renewable energy whenever possible, and show that the greedy scheme can lead to severe energy outage, while our algorithms wisely store harvested energy through BS sleep. I.
Relaying and Stability in Energy Harvesting Simple Networks
"... Abstract-Wireless systems of rechargeable nodes have extended lifetime and are self-sufficient. The transmission policies in these systems need to adapt to the harvested energy availability. In this work, we investigate the interaction between relaying, energy harvesting, and stability. We introduc ..."
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Abstract-Wireless systems of rechargeable nodes have extended lifetime and are self-sufficient. The transmission policies in these systems need to adapt to the harvested energy availability. In this work, we investigate the interaction between relaying, energy harvesting, and stability. We introduce the problem of general relaying cost minimization for cooperative energy harvesting networks. We consider a simple network in which a source transmits to a destination through network-level cooperation with a number of relay nodes. The source and the relays have energy harvesting capability. To adapt the relaying process to the available harvested energy, we exploit partial relay cooperation in which the flows through the relays are controlled. The relaying cost minimization problem is feasible when the data queues of the source and the relays are stable. The stability conditions of the data queues are derived. Then, we introduce the energy consumption as a cost criterion for the optimization problem to find an energy-efficient partial relaying protocol. We assess the effect of partial relay cooperation compared to the cases of no cooperation and full relay cooperation.
