System identification
Time Series Models for Internet Data Traffic
LCN '99 Proceedings of the 24th Annual IEEE Conference on Local Computer Networks
Convex Optimization
3G Evolution, Second Edition: HSPA and LTE for Mobile Broadband
3G Evolution, Second Edition: HSPA and LTE for Mobile Broadband
Toward enhanced mobile video services over WiMAX and LTE
IEEE Communications Magazine
Cooperative adaptive spectrum sharing in cognitive radio networks
IEEE/ACM Transactions on Networking (TON)
Journal of Electrical and Computer Engineering - Special issue on LTE/LTE-advanced cellular communication networks
LCN '10 Proceedings of the 2010 IEEE 35th Conference on Local Computer Networks
OFDMA vs. SC-FDMA: performance comparison in local area imt-a scenarios
IEEE Wireless Communications
IEEE Transactions on Multimedia
Multiuser OFDM with adaptive subcarrier, bit, and power allocation
IEEE Journal on Selected Areas in Communications
Decentralized cognitive MAC for opportunistic spectrum access in ad hoc networks: A POMDP framework
IEEE Journal on Selected Areas in Communications
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We consider the problem of resource allocation for the Third Generation Partnership Project (3GPP) long-term evolution (LTE) cognitive radio network (CRN). The CRN is made up of the licensed (primary) service stations which can share their spectrum resources with the unlicensed (secondary) stations. The objective is to provide wireless access to the secondary stations on a best effort basis without compromising the quality of service (QoS) for the primary stations. To accomplish this we employ a simple two-step procedure. In the first step the spectrum resources are allocated to primary stations to maximize the QoS for the primary users. In the second step the spare service capacity of the primary channels is distributed among the secondary stations to maximize the QoS of the secondary users. The proposed theoretical framework adheres closely with the LTE specification. The corresponding resource allocation algorithm does not involve additional network signaling over the wireless medium, and improves the overall QoS in the network. These advantages of the proposed approach for resource allocation make it ready for implementation in a real network.