Asymptotic Scheduling Gains in Point-to-Multipoint Cognitive Networks
Nadia Jamal, Hamidreza Ebrahimzadeh Saffar, Patrick Mitran

TL;DR
This paper analyzes how secondary networks can asymptotically improve throughput in collocated primary-secondary networks through optimal scheduling, outperforming traditional time-division methods under various coexistence scenarios.
Contribution
It introduces a novel asymptotic analysis of sum-rates in coexisting networks, deriving key lemmas on order statistics and demonstrating the benefits of interference-based user scheduling.
Findings
Simultaneous transmission can outperform time-division in sum-rate.
Asymptotic sum-rate gains are achievable with interference-based user scheduling.
Secondary networks can enhance throughput without degrading primary network performance.
Abstract
We consider collocated primary and secondary networks that have simultaneous access to the same frequency bands. Particularly, we examine three different levels at which primary and secondary networks may coexist: pure interference, asymmetric co-existence, and symmetric co-existence. At the asymmetric co-existence level, the secondary network selectively deactivates its users based on knowledge of the interference and channel gains, whereas at the symmetric level, the primary network also schedules its users in the same way. Our aim is to derive optimal sum-rates (i.e., throughputs)of both networks at each co-existence level as the number of users grows asymptotically and evaluate how the sum-rates scale with network size. In order to find the asymptotic throughput results, we derive a key lemma on extreme order statistics and a proposition on the sum of lower order statistics. As a…
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