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Cache-Aided Massive MIMO: Linear Precoding Design and Performance Analysis
Wei, Xiao; Xiang, Lin; Cottatellucci, Laura et al.
2019In Proc. IEEE ICC 2019
Peer reviewed
 

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Keywords :
Massive MIMO; Caching; Interference cancellation; Ergodic achievable rate
Abstract :
[en] In this paper, we propose a novel joint caching and massive multiple-input multiple-output (MIMO) transmission scheme, referred to as cache-aided massive MIMO, for advanced downlink cellular communications. In addition to reaping the conventional advantages of caching and massive MIMO, the proposed scheme also exploits the side information provided by cached files for interference cancellation at the receivers. This interference cancellation increases the degrees of freedom available for precoding design. In addition, the power freed by the cache-enabled offloading can benefit the transmissions to the users requesting non-cached files. The resulting performance gains are not possible if caching and massive MIMO are designed separately. We analyze the performance of cache-aided massive MIMO for cache-dependent maximum-ratio transmission (MRT), zero-forcing (ZF) precoding, and regularized zero-forcing (RZF) precoding. Lower bounds on the ergodic achievable rates are derived in closed form for MRT and ZF precoding. The ergodic achievable rate of RZF precoding is obtained for the case when the numbers of transmit antennas and users are large but their ratio is fixed. Compared to conventional massive MIMO, the proposed cache-aided massive MIMO scheme achieves a significantly higher ergodic rate especially when the number of users approaches the number of transmit antennas.
Disciplines :
Electrical & electronics engineering
Author, co-author :
Wei, Xiao
Xiang, Lin ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Cottatellucci, Laura
Jiang, Tao
Schober, Robert
External co-authors :
yes
Language :
English
Title :
Cache-Aided Massive MIMO: Linear Precoding Design and Performance Analysis
Publication date :
2019
Event name :
Proc. IEEE ICC
Event date :
May 2019
Main work title :
Proc. IEEE ICC 2019
Peer reviewed :
Peer reviewed
Focus Area :
Security, Reliability and Trust
FnR Project :
FNR11691338 - Proactive Edge Caching For Content Delivery Networks Powered By Hybrid Satellite/Terrestrial Backhauling, 2017 (01/07/2018-31/12/2021) - Bjorn Ottersten
Name of the research project :
FnR Core Project ProCAST (grant R-AGR-3415-10)
Available on ORBilu :
since 21 May 2019

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