Challenges and opportunities of underwater cognitive acoustic networks

Y Luo, L Pu, M Zuba, Z Peng… - IEEE Transactions on …, 2014 - ieeexplore.ieee.org
In oceans, both the natural acoustic systems (such as marine mammals) and artificial
acoustic systems [like underwater acoustic networks (UANs) and sonar users] use acoustic …

Exclusive use spectrum access trading models in cognitive radio networks: A survey

MR Hassan, GC Karmakar… - … Surveys & Tutorials, 2017 - ieeexplore.ieee.org
Spectrum frequency is a valuable resource for wireless communication but very limited in its
availability. Due to the extensive use and ever increasing demand of spectrum bands by …

Dynamic resource allocation for heterogeneous services in cognitive radio networks with imperfect channel sensing

R Xie, FR Yu, H Ji - IEEE transactions on vehicular technology, 2011 - ieeexplore.ieee.org
Resources in cognitive radio networks (CRNs) should dynamically be allocated according to
the sensed radio environment. Although some work has been done for dynamic resource …

Downlink spectrum sharing for cognitive radio femtocell networks

J Xiang, Y Zhang, T Skeie, L Xie - IEEE systems journal, 2010 - ieeexplore.ieee.org
Femtocell is envisioned as a highly promising solution for indoor wireless communications.
The spectrum allocated to femtocells is traditionally from the same licensed spectrum bands …

Fast optimal resource allocation is possible for multiuser OFDM-based cognitive radio networks with heterogeneous services

M Ge, S Wang - IEEE transactions on wireless communications, 2012 - ieeexplore.ieee.org
In this paper we study the resource allocation in multiuser orthogonal frequency division
multiplexing (OFDM)-based cognitive radio (CR) networks, where secondary users (SUs) …

Receiver-initiated spectrum management for underwater cognitive acoustic network

Y Luo, L Pu, H Mo, Y Zhu, Z Peng… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
Cognitive acoustic (CA) is emerging as a promising technique for environment-friendly and
spectrum-efficient underwater communications. Due to the unique features of underwater …

A resource allocation scheme for cooperative multiuser OFDM-based cognitive radio systems

CH Chen, CL Wang, CT Chen - IEEE Transactions on …, 2011 - ieeexplore.ieee.org
This paper presents a joint subcarrier and power allocation algorithm for cooperative
multiuser orthogonal frequency division multiplexing (MU-OFDM) cognitive radio (CR) …

Information theoretical optimization gains in energy adaptive data gathering and relaying in cognitive radio sensor networks

B Gulbahar, OB Akan - IEEE Transactions on Wireless …, 2012 - ieeexplore.ieee.org
Cognitive radio (CR) technology helps mitigate wireless resource scarcity problem by
dynamically changing frequency spectrum, power and modulation type. Opportunistic …

Fair Channel allocation and power control for uplink and downlink cognitive radio networks

D Xu, Z Feng, Y Li, P Zhang - 2011 IEEE GLOBECOM …, 2011 - ieeexplore.ieee.org
This paper considers a cognitive radio (CR) network comprising one cognitive base station
(CBS) and a number of secondary users (SUs) that shares a set of channels with a primary …

A joint power, delay and rate optimization model for secondary users in cognitive radio sensor networks

B Ssajjabbi Muwonge, T Pei, J Sansa Otim… - Sensors, 2020 - mdpi.com
To maximize the limited spectrum among primary users and cognitive Internet of Things (IoT)
users as we save the limited power and energy resources available, there is a need to …