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Power allocation for cache-aided small-cell networks with limited backhaul
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Cheng, Fen, Yu, Yan, Zhao, Zhongyuan, Zhao, Nan, Chen, Yunfei and Lin, Hai (2017) Power allocation for cache-aided small-cell networks with limited backhaul. IEEE Access, 5 . 1272 -1283. doi:10.1109/ACCESS.2017.2656384
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WRAP-power-allocation-cache-aided-networks-Chen-2017.pdf - Accepted Version - Requires a PDF viewer. Download (3260Kb) | Preview |
Official URL: http://doi.org/10.1109/ACCESS.2017.2656384
Abstract
Cache-aided small-cell network is becoming an effective method to improve the transmission rate and reduce the backhaul load. Due to the limited capacity of backhaul, less power should be allocated to users whose requested contents do not exist in the local caches to maximize the performance of caching. In this paper, power allocation is considered to improve the performance of cache-aided small-cell networks with limited backhaul, where interference alignment (IA) is utilized to manage interferences among users. Specifically, three power allocation algorithms are proposed. First, we come up with a power allocation algorithm to maximize the sum transmission rate of the network, considering the limitation of backhaul. Second, in order to have more users meet their rate requirements, a power allocation algorithm to minimizing the average outage probability is also proposed. In addition, in order to further improve the users’ experience, a power allocation algorithm that maximizes the average satisfaction of all the users is also designed. Simulation results are provided to show the effectiveness of the three proposed power allocation algorithms for cache-aided small-cell networks with limited backhaul.
| Item Type: | Journal Article | ||||||
|---|---|---|---|---|---|---|---|
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering | ||||||
| Divisions: | Faculty of Science > Engineering | ||||||
| Library of Congress Subject Headings (LCSH): | Cell phone systems, Low power radio., Wireless communication systems | ||||||
| Journal or Publication Title: | IEEE Access | ||||||
| Publisher: | IEEE | ||||||
| ISSN: | 2169-3536 | ||||||
| Official Date: | 20 January 2017 | ||||||
| Dates: |
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| Volume: | 5 | ||||||
| Page Range: | 1272 -1283 | ||||||
| DOI: | 10.1109/ACCESS.2017.2656384 | ||||||
| Status: | Peer Reviewed | ||||||
| Publication Status: | Published | ||||||
| Access rights to Published version: | Restricted or Subscription Access | ||||||
| Funder: | Guo jia zi ran ke xue ji jin wei yuan hui (China) [National Natural Science Foundation of China] (NSFC), State Major Science and Technology Special Projects | ||||||
| Grant number: | 61671101, 51678108, 61501045, 2016ZX03001017-004 | ||||||
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