Interference Management in 5G Reverse TDD HetNets with Wireless Backhaul: A Large System Analysis
Luca Sanguinetti, Aris Moustakas, Merouane Debbah

TL;DR
This paper provides a large system analysis of interference management in 5G HetNets with wireless backhaul, using reverse TDD and linear precoding to optimize power and performance in dense, multi-antenna networks.
Contribution
It introduces a large system analytical framework for interference management in 5G HetNets with wireless backhaul, employing reverse TDD and advanced precoding techniques.
Findings
Concise formulas for asymptotic UL and DL transmit powers.
Validation of analysis through numerical simulations.
Comparison with alternative network architectures.
Abstract
This work analyzes a heterogeneous network (HetNet), which comprises a macro base station (BS) equipped with a large number of antennas and an overlaid dense tier of small cell access points (SCAs) using a wireless backhaul for data traffic. The static and low mobility user equipment terminals (UEs) are associated with the SCAs while those with medium-to-high mobility are served by the macro BS. A reverse time division duplexing (TDD) protocol is used by the two tiers, which allows the BS to locally estimate both the intra-tier and inter-tier channels. This knowledge is then used at the BS either in the uplink (UL) or in the downlink (DL) to simultaneously serve the macro UEs (MUEs) and to provide the wireless backhaul to SCAs. A geographical separation of co-channel SCAs is proposed to limit the interference coming from the UL signals of MUEs. A concatenated linear precoding technique…
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