Abstract
With a great potential to support multitudinous services and applications, mobile Device-to-Device (D2D) communications are conceived as a candidate paradigm for future intelligent transportation systems and mobile Internet. To optimize the performance of underlaying mobile D2D communication systems with mutual interference caused by resource reuse, we propose two scenario-related power allocation schemes and investigate the energy efficiency (EE) and spectral efficiency (SE) trade-off. A three-dimensional vehicle-to-vehicle channel model is adopted to characterize propagation characteristics in realistic vehicular environments. We observe that a small degradation in EE around its peak value can significantly increase the SE for high vehicular traffic density (VTD) scenarios, while a marginal degradation in SE results in a considerable gain in EE for low VTD scenarios. Therefore, we maximize SE subject to EE requirement in high VTD scenarios and maximize EE subject to SE requirement in low VTD scenarios. Moreover, to provide comprehensive understanding and further facilitate the practicality of EE-SE trade-off, economic efficiency (ECE) is employed as a general evaluation criterion to assess the efficacy of trade-off. Finally, extensive simulations are provided to reveal the trade-off quantitatively and demonstrate the viability that ECE can serve as a general metric for EE-SE trade-off in vehicular environments under different communication conditions.
| Original language | English |
|---|---|
| Pages (from-to) | 4288 - 4301 |
| Number of pages | 14 |
| Journal | IEEE Transactions on Wireless Communications |
| Volume | 17 |
| Issue number | 7 |
| Early online date | 10 Apr 2018 |
| DOIs | |
| Publication status | Published - Jul 2018 |
Keywords
- Channel models
- Device-to-device communication
- economic efficiency
- Economics
- energy efficiency
- Interference
- Mobile Device-to-Device communications
- power allocation
- Power control
- Resource management
- spectral efficiency
- Wireless communication
ASJC Scopus subject areas
- Computer Science Applications
- Electrical and Electronic Engineering
- Applied Mathematics
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