Secrecy and Energy Efficiency in Massive MIMO Aided Heterogeneous C-RAN: A New Look at Interference
Lifeng Wang, Kai-Kit Wong, Maged Elkashlan, Arumugam Nallanathan, and, Sangarapillai Lambotharan

TL;DR
This paper explores how massive MIMO and C-RAN architectures enhance secrecy and energy efficiency in heterogeneous networks, demonstrating significant improvements through interference management and resource allocation.
Contribution
It provides a comprehensive analysis of physical layer security and energy efficiency in massive MIMO aided heterogeneous C-RANs, highlighting the benefits of RRHs and macrocell antenna configurations.
Findings
Massive MIMO and C-RAN significantly improve secrecy performance.
Increasing RRHs boosts network energy efficiency.
Allocating more resources to RRHs linearly increases their EE.
Abstract
In this paper, we investigate the potential benefits of the massive multiple-input multiple-output (MIMO) enabled heterogeneous cloud radio access network (C-RAN) in terms of the secrecy and energy efficiency (EE). In this network, both remote radio heads (RRHs) and massive MIMO macrocell base stations (BSs) are deployed and soft fractional frequency reuse (S-FFR) is adopted to mitigate the inter-tier interference. We first examine the physical layer security by deriving the area ergodic secrecy rate and secrecy outage probability. Our results reveal that the use of massive MIMO and C-RAN can greatly improve the secrecy performance. For C-RAN, a large number of RRHs achieves high area ergodic secrecy rate and low secrecy outage probability, due to its powerful interference management. We find that for massive MIMO aided macrocells, having more antennas and serving more users improves…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
