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Concurrent transmission for energy efficiency of user equipment in 5G wireless communication networks


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In this paper, we investigate concurrent transmission among multiple radio access technologies (RATs) for energy efficiency (EE) of multi-mode user equipment (MUE) in 5G wireless communication networks. Considering both the static circuit power consumption of the MUE and channel state information of different RATs, we propose an EE maximization concurrent transmission (EXACT) strategy by fully utilizing the multi-RAT combining gain of concurrent transmission. In particular, we formulate such EE maximization concurrent transmission problem as a mixed binary integer programming (MIP), and under some given static circuit power conditions, the optimal RATs selection and transmission rates for establishing concurrent transmission among multiple RATs are derived. Furthermore, in order to deal with the challenging MIP, an approximate expression is derived to simplify the integer constraints, thus the original MIP is transformed into a nonlinear continuous optimization problem. Consequently, a low complexity heuristic algorithm for general static circuit power conditions, which can achieve the near-optimal solution, is presented. Simulation results confirm the effectiveness of the EXACT strategy and show that the EE performance of the MUE can be significantly improved by reasonable and effective utilization of multiple RATs to execute concurrent transmission.



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Correspondence to Min Sheng.

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Ma, X., Sheng, M., Li, J. et al. Concurrent transmission for energy efficiency of user equipment in 5G wireless communication networks. Sci. China Inf. Sci. 59, 1–15 (2016). https://doi.org/10.1007/s11432-015-5507-3

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  • energy efficiency
  • green communication
  • concurrent transmission
  • 5G wireless communication networks
  • data splitting


  • 022306


  • 能效
  • 绿色通信
  • 并发传输
  • 5G无线通信网络
  • 数据分流