Capacity Limits of Multiuser Multiantenna Cognitive Networks
Yang Li, Aria Nosratinia

TL;DR
This paper analyzes the capacity limits of multiuser multi-antenna cognitive radio networks, demonstrating how secondary throughput scales with the number of users and antennas, even under primary interference constraints.
Contribution
It provides new theoretical results on the scaling laws of secondary throughput in multiuser cognitive networks with multiple antennas, including optimal growth rates and interference management strategies.
Findings
Secondary uplink throughput scales as (m/(N+1)) log n or (m/(M+1)) log n, depending on primary mode.
Secondary throughput can grow proportionally to log n while nullifying primary interference asymptotically.
Downlink secondary throughput scales as m log log n, with interference to primary approaching zero.
Abstract
Unlike point-to-point cognitive radio, where the constraint imposed by the primary rigidly curbs the secondary throughput, multiple secondary users have the potential to more efficiently harvest the spectrum and share it among themselves. This paper analyzes the sum throughput of a multiuser cognitive radio system with multi-antenna base stations, either in the uplink or downlink mode. The primary and secondary have and users, respectively, and their base stations have and antennas, respectively. We show that an uplink secondary throughput grows with if the primary is a downlink system, and grows with if the primary is an uplink system. These growth rates are shown to be optimal and can be obtained with a simple threshold-based user selection rule. Furthermore, we show that the secondary throughput can grow proportional to…
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Taxonomy
TopicsCognitive Radio Networks and Spectrum Sensing · Advanced MIMO Systems Optimization · Cooperative Communication and Network Coding
