Coverage Analysis for Dense Heterogeneous Networks with Cooperative NOMA
Chun-Hung Liu, Di-Chun Liang, Po-Chia Chen, Jie-Ru Yang

TL;DR
This paper analyzes the coverage performance of dense heterogeneous networks using cooperative NOMA, demonstrating that cooperation among base stations can significantly enhance user coverage when power allocation is optimized.
Contribution
It introduces a cooperative NOMA scheme for HetNets and derives coverage probability expressions, showing improved performance over non-cooperative schemes.
Findings
Cooperative NOMA significantly improves coverage probabilities.
Proper power allocation is crucial for maximizing benefits.
Void base stations can be coordinated to assist far users.
Abstract
In a heterogeneous cellular network (HetNet) consisting of tiers of densely-deployed base stations (BSs), consider that each of the BSs in the HetNet that are associated with multiple users is able to simultaneously schedule and serve two users in a downlink time slot by performing the (power-domain) non-orthogonal multiple access (NOMA) scheme. This paper aims at the preliminary study on the downlink coverage performance of the HetNet with the \textit{non-cooperative} and the proposed \textit{cooperative} NOMA schemes. First, we study the coverage probability of the NOMA users for the non-cooperative NOMA scheme in which no BSs are coordinated to jointly transmit the NOMA signals for a particular cell and the coverage probabilities of the two NOMA users of the BSs in each tier are derived. We show that the coverage probabilities can be largely reduced if allocated transmit powers…
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Taxonomy
TopicsAdvanced Wireless Communication Technologies · Advanced MIMO Systems Optimization · IoT Networks and Protocols
