JOURNAL ARTICLE

Power Allocation for Cache-Aided Small-Cell Networks With Limited Backhaul

Fen ChengYan YuZhongyuan ZhaoNan ZhaoYunfei ChenHai Lin

Year: 2017 Journal:   IEEE Access Vol: 5 Pages: 1272-1283   Publisher: Institute of Electrical and Electronics Engineers

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.

Keywords:
Backhaul (telecommunications) Computer science Cache Computer network Small cell Cellular network Base station

Metrics

32
Cited By
6.84
FWCI (Field Weighted Citation Impact)
41
Refs
0.97
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Caching and Content Delivery
Physical Sciences →  Computer Science →  Computer Networks and Communications
Cooperative Communication and Network Coding
Physical Sciences →  Computer Science →  Computer Networks and Communications
Advanced MIMO Systems Optimization
Physical Sciences →  Engineering →  Electrical and Electronic Engineering

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