4.7 Article

Energy-Aware Cooperative Traffic Offloading via Device-to-Device Cooperations: An Analytical Approach

期刊

IEEE TRANSACTIONS ON MOBILE COMPUTING
卷 16, 期 1, 页码 97-114

出版社

IEEE COMPUTER SOC
DOI: 10.1109/TMC.2016.2539950

关键词

Device-to-device communications; mobile user cooperation; traffic offloading; and radio resource allocations

资金

  1. National Natural Science Foundation of China [61303235, 61379122, 61572440]
  2. University Grant Committee of the Hong Kong Special Administrative Region, China [CUHK 412713, 14202814]
  3. Zhejiang Provincial Natural Science Foundation of China [LR16F010003]

向作者/读者索取更多资源

In this paper, we investigate the cooperative traffic offloading among mobiles devices (MDs) which are interested in receiving a common content from a cellular base station (BS). For offloading traffic, the BS first sends the content to some selected MDs which then broadcast the received data to the other MDs, such that each MD can receive the entire content simultaneously. Due to each MD's limited transmit-power and energy budget, the transmission rate of the content should be properly designed, since it strongly influences whether and how long each MD can perform relaying. Therefore, different from most existing MDs cooperative schemes, we focus on a novel joint optimization of the content transmission rate and each MD's relay-duration, with the objective of minimizing the system cost accounting for the energy consumption and the cellular-link usage. To tackle with the technical challenge due to the coupling effect between the content transmission rate and each MD's relay-duration, we exploit the decomposable property of the joint optimization problem, based on which we characterize different possible cases for achieving the optimal solution. We then derive the optimal solution for each case analytically, and further propose an efficient algorithm for finding the globally optimal solution of the original joint optimization problem. Numerical results are provided to validate the proposed algorithm (including its accuracy and computational efficiency) and demonstrate that the optimal MDs' cooperative offloading can significantly reduce the system cost compared to some heuristic schemes. Several interesting insights about the cooperative offloading are also obtained.

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