Abstract
In this paper, we consider the energy allocation problem for energy harvesting and energy cooperating nodes with finite-sized batteries. In particular, we solve the sum-throughput maximization problem in a two-way channel with energy harvesting nodes that can also transfer energy to one another. To do so, we non-trivially extend a class of policies which originally rely on an infinite-sized battery to be optimal, to the finite battery case. We observe that when we partition transferred energy into immediately used and stored components, an optimal policy has a non-zero stored component only when the battery of the transferring user is full. This enables the decomposition of the sum-throughput maximization problem into separate energy transfer and power allocation problems. Utilizing properties of this optimal class of policies, we solve the power allocation problem using a two dimensional directional water-filling algorithm with restricted transfers, where energy transfers only take place at full battery instances. Numerical results demonstrate that energy cooperation notably improves sum-throughput as one node gets energy deprived.
| Original language | English (US) |
|---|---|
| Article number | 7037008 |
| Pages (from-to) | 1424-1429 |
| Number of pages | 6 |
| Journal | Proceedings - IEEE Global Communications Conference, GLOBECOM |
| DOIs | |
| State | Published - 2014 |
| Event | 2014 IEEE Global Communications Conference, GLOBECOM 2014 - Austin, United States Duration: Dec 8 2014 → Dec 12 2014 |
All Science Journal Classification (ASJC) codes
- Artificial Intelligence
- Computer Networks and Communications
- Hardware and Architecture
- Signal Processing
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