Embedded Files
Design of Retransmission based EH Multi-hop Links
Design of Retransmission based EH Multi-hop Links
We considered an energy harvesting (EH) node that periodically takes a measurement and conveys it to a destination over multiple EH relays operating in a decode-and-forward fashion, using the automatic repeat request (ARQ) protocol. Packets that are not delivered to the destination before the next measurement is taken are dropped. The objective was to design a retransmission-index based power control policy (RIP) for each node, which minimizes the packet drop probability (PDP). To this end, we first derived expressions for the PDP, in terms of the RIPs at the nodes. Next, we obtained near-optimal power control policies. The key contribution of this work shows that the design of EH links can be significantly simplified by replacing the energy neutrality constraint with a simpler average power constraint, without compromising the optimality of the solution.
Our contributions in this direction are the following:
- M. K. Sharma and C. R. Murthy, “Distributed Power Control for Multihop Energy Harvesting Links with Retransmission,” IEEE Trans. on Wireless Commun., vol. 17, no. 6, pp. 4064-4078, Jun. 2018.
- M. K. Sharma and C. R. Murthy, “On Design of Dual Energy Harvesting Communication Links With Retransmission,” IEEE Trans. on Wireless Commun., vol. 16, no. 6, pp. 4079 - 4093, Jun. 2017.
- M. K. Sharma and C. R. Murthy, “Packet Drop Probability Analysis of Dual Energy Harvesting Links with Retransmission,” IEEE J. of Sel. Areas in Commun., special issue on Green Communications and Networking, vol. 34, no. 12, pp. 3646 - 3660, Dec. 2016.
- M. K. Sharma and C. R. Murthy, “Near-Optimal Distributed Power Control for ARQ Based Multihop Links with Decoding Costs,” Proc. of IEEE International Conference Communications (ICC), Paris, France, May 2017.
- M. K. Sharma and C. R. Murthy, “Packet Drop Probability Analysis of ARQ and HARQ-CC with Energy Harvesting Transmitters and Receivers,” Proc. of IEEE Global Conference on Signal and Information Processing (GlobalSIP), Atlanta, USA, Dec. 2014.
- A. M. Devraj, M. K. Sharma and C. R. Murthy, “Power Allocation in Energy Harvesting Sensors with ARQ: A Convex Optimization Approach,” Proc. of IEEE Global Conference on Signal and Information Processing (GlobalSIP), Atlanta, USA, Dec. 2014.
Uncoordinated Multiple Access in Energy Harvesting Networks
Uncoordinated Multiple Access in Energy Harvesting Networks
The objective in this work was to design a power control policy that maximizes the long-term time-averaged throughput of a Gaussian multiple access channel, where the transmitting nodes as well as the access point (AP) are the energy harvesting nodes. In addition, the policy is required to facilitate the uncoordinated operation of the network, i.e., in each slot, based on their own energy availability, each node and the AP need to independently decide the amount of energy to be used. We analytically showed that time-sharing based online policies, which require no coordination among the nodes and uses time-dilation, achieve a throughput that converges the optimal throughput, asymptotically in the battery size. We also showed that a policy with occasional one-bit feedback from access point about its battery state requires a smaller battery size to achieve the same performance as a policy which operate without feedback.
Our contributions in this area are the following:
- M. K. Sharma, C. R. Murthy and R. Vaze, “On Distributed Power Control for Uncoordinated Dual Energy Harvesting Links: Performance Bounds and Near-Optimal Policies,” Proc. of 15th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt), Paris, France, May 2017.
- M. K. Sharma, C. R. Murthy and R. Vaze “On Optimal Scheduling and Power Control for Uncoordinated Multiple Access by Energy Harvesting Nodes,” to be presented at IEEE Globecom, Abu Dhabi, UAE, Dec. 2018.
- M. K. Sharma, C. R. Murthy and R. Vaze,“Asymptotically Optimal Power Control for Uncoordinated Multiple-access in Energy Harvesting Networks with Decoding Costs,” IEEE Trans. on Commun., , vol. 67, no. 3, pp. 2420-2435, Mar. 2019.
Google Sites
Report abuse