In this paper we study the joint bandwidth and power allocations for Cognitive Radio Networks (CRNs), which opportunistically operate on a set of channels unused by multiple Primary User (PU) Networks. Our objective is to minimize the total power allocation of all coexisting Secondary Users (SUs) and guarantee their Quality of Service (QoS) requirements. We consider the imperfect spectrum sensing of CRNs and adopt the interference constraint (in terms of the uplink interference constraint to PU Base Stations) to address PUs' protection when miss-detection happens. We propose an efficient joint allocation algorithm to solve our problem and demonstrate its performance through sufficient numerical experiments
The rapid growth of wireless services has resulted in the increasing demand on spectrum. However, a ...
In cognitive radio (CR) networks, the radio access from opportunistic users depends on their capabil...
Efficient discovery and effective sharing of spectrum opportunities are the most challenging issues ...
In cognitive radio networks, imperfect spectrum sensing causes harmful interferences or low utilizat...
In this paper, we address power and subcarrier allocation for cooperative cognitive radio (CR) ne...
Abstract Multiband cognitive radio (CR) signaling allows CR networks to efficiently take advantage o...
A problem of joint optimal bandwidth and power allocation in cognitive networks under fading channel...
Cognitive Radio (CR) improves spectral efficiency by allowing unlicensed (secondary) users to concur...
Cooperative spectrum sensing has been proposed to significantly improve spectrum sensing accuracy by...
Cooperative spectrum sensing has been proposed to significantly improve spectrum sensing accuracy by...
Due to ever increasing usage of wireless devices and data hungry applications, it has become necessa...
The scarcity of bandwidth has always been the burden of high-speed wireless communication whose dema...
Due to ever increasing usage of wireless devices and data hungry applications, it has become necessa...
The rapid growth of wireless services has resulted in the increasing demand on spectrum. However, a ...
We consider the problem of interference management and resource allocation in a cognitive radio netw...
The rapid growth of wireless services has resulted in the increasing demand on spectrum. However, a ...
In cognitive radio (CR) networks, the radio access from opportunistic users depends on their capabil...
Efficient discovery and effective sharing of spectrum opportunities are the most challenging issues ...
In cognitive radio networks, imperfect spectrum sensing causes harmful interferences or low utilizat...
In this paper, we address power and subcarrier allocation for cooperative cognitive radio (CR) ne...
Abstract Multiband cognitive radio (CR) signaling allows CR networks to efficiently take advantage o...
A problem of joint optimal bandwidth and power allocation in cognitive networks under fading channel...
Cognitive Radio (CR) improves spectral efficiency by allowing unlicensed (secondary) users to concur...
Cooperative spectrum sensing has been proposed to significantly improve spectrum sensing accuracy by...
Cooperative spectrum sensing has been proposed to significantly improve spectrum sensing accuracy by...
Due to ever increasing usage of wireless devices and data hungry applications, it has become necessa...
The scarcity of bandwidth has always been the burden of high-speed wireless communication whose dema...
Due to ever increasing usage of wireless devices and data hungry applications, it has become necessa...
The rapid growth of wireless services has resulted in the increasing demand on spectrum. However, a ...
We consider the problem of interference management and resource allocation in a cognitive radio netw...
The rapid growth of wireless services has resulted in the increasing demand on spectrum. However, a ...
In cognitive radio (CR) networks, the radio access from opportunistic users depends on their capabil...
Efficient discovery and effective sharing of spectrum opportunities are the most challenging issues ...