JOURNAL ARTICLE

Joint Resource Allocation in Cache-Enabled Small Cell Networks with Massive MIMO and Full Duplex

Abstract

With the rapid development of small cell networks, resource allocation problem has attracted great attention. Some works have been studied by introducing other advanced technologies, such as full duplex (FD) and massive multiple-input and multiple-out (MIMO). However, with dense deployment of small cell base stations (SBSs), caching is regarded as a promising technology. In this paper, we propose a novel resource allocation scheme in the cache-enabled small cell networks with massive MIMO and FD where SBSs could act as FD relays between other SBSs and users. Furthermore, we formulate a joint spectrum and power allocation problem. Due to complex interference and the non-convexity of the optimization problem, we tackle this problem in three steps with low computation complexity. First, for a given spectrum allocation, we transfer the original problem as a difference of convex program (DCP) and solve the problem by the successive convex approximation (SCA). Then, spectrum allocation is optimized. Thirdly, an iteration algorithm is developed to jointly optimize spectrum and power allocation. Finally, the convergence and effectiveness of the proposed scheme are validated by extensive simulations.

Keywords:
Computer science Base station Resource allocation Small cell Mathematical optimization MIMO Cache Optimization problem Computer network Algorithm Mathematics Channel (broadcasting)

Metrics

6
Cited By
0.66
FWCI (Field Weighted Citation Impact)
25
Refs
0.74
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Full-Duplex Wireless Communications
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
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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