Pith. sign in

REVIEW 1 cited by

Hybrid Multicast/Unicast Design in NOMA-based Vehicular Caching System with Supplementary Material

Not yet reviewed by Pith; the record is open.

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 2011.03232 v2 pith:WJWQ7ERB submitted 2020-11-06 cs.IT math.IT

classification cs.ITmath.IT
keywords unicastmulticastproblemvehicularaccesshybridmultiplenoma
verification ladder T0 review T1 audit T2 compute T3 formal
0 comments
read the original abstract

In this paper, we investigate a hybrid multicast/ unicast scheme for a multiple-input single-output cache-aided non-orthogonal multiple access (NOMA) vehicular scenario in the face of rapidly fluctuating vehicular wireless channels. Considering a more practical situation, imperfect channel state information is taking into account. In this paper, we formulate an optimization problem to maximize the unicast sum rate under the constraints of the peak power, the peak backhaul, the minimum unicast rate, and the maximum multicast outage probability. To solve the formulated non-convex problem, a lower bound relaxation method is proposed, which enables a division of the original problem into two convex sub-problems. Computer simulations show that the proposed caching-aided NOMA is superior to the orthogonal multiple access counterpart.

Discussion (0). Continue with ORCID to comment.

Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Validating Generative Agent-Based Models for Logistics and Supply Chain Management Research

    cs.MA 2025-08 conditional novelty 6.0 of 10

    Six LLMs show an equivalence-versus-process paradox: some match human surface behaviors but few replicate human decision pathways, so GABMs need dual-level validation before use in logistics research.

Pith tools