Abstract
Energy consumption for cellular communication is increasingly gaining importance in smartphone battery lifetime as the bandwidth of wireless communication and the demand for mobile traffic increase. For energy-efficient cellular communication, we tackle two energy characteristics of cellular networks: (1) transmission energy highly varies upon channel condition, and (2) transmission of a packet accompanies unnecessary tail energy waste. Under the objective of transmitting packets when the best channel is provided as well as a number of packets are accumulated, we propose a new mobile collaboration framework "CarrierMix" that aggregates smart devices across multiple heterogeneous cellular carriers. Compared to the standalone operation, even without a buffering delay, CarrierMix allows better channel and reduces more tail energy in a statistical point of view. To maximize the energy benefit while maintaining the fairness among the nodes in collaboration, we further develop a dynamic programming framework providing the optimal algorithm of CarrierMix and its approximated heuristic. Trace-driven simulations on our experimental HSPA/ EVDO/LTE network traces show that CarrierMix of five devices achieves up to 42 percent of energy reduction.
| Original language | English |
|---|---|
| Article number | 7426389 |
| Pages (from-to) | 16-29 |
| Number of pages | 14 |
| Journal | IEEE Transactions on Mobile Computing |
| Volume | 16 |
| Issue number | 1 |
| DOIs | |
| State | Published - 1 Jan 2017 |
| Externally published | Yes |
Bibliographical note
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