- Publication Statistics
OFDM Relay Cognitive Radio Multiple Antennas Resource Allocation Full Duplex Spectrum Sensing Synchronization Spectrum Sharing Interference Cancellation Channel Estimation Feedback Heterogeneous Networks Bi-directional Energy Harvesting Stochastic Geometry HetNet relay networks FBMC Equalization channel capacity TVWS CDMA interference in-band full-duplex system Duplex MIMO Ultra Low Power C-V2V 5G Reliability SC-FDMA interference suppression D-TDD CLI indoor positioning reinforcement learning RSRP weighting - Computation offloading smart factory Cell-free multi-access edge computing estimated position overlapping —Device-to-device (D2D) estimated position updating mMIMO control overhead hybrid NR positioning Femtocell Rat-dependent positioning frame structure Zigbee body area networks channel estimation error Handoff CoMP User grouping power uncertainty ultra-dense small cell network mode selection antenna arrays 5G mobile communication UFMC resource block management inter user interference WVAN health care partial overlap GFDM Dynamic TDD Multi-user Receiver Number of training blocks Uplink SCMA system V2X Vehicular communication cross-link interference LTE-TDD FS-NOMA Location-based user fairness Mode 3 QR Factorization Metaheuristics P-NOMA non-orthogonal multiple access dynamic HetNet spectrum partitioning and 5G networks. massive connectivity non-orthogonal multiple access (NOMA) overloading DQN OTDOA distributed mode Communication range resource selection maximum likelihood method Resource sharing Power allocation packet delay
|Title :||Spectrum Sharing in Cognitive Radio Networks: Impacts of Interference Power Constraints|
|Authors :||Hyungjong Kim, Sungsoo Park, Seokwon Lee and Daesik Hong|
|Abstract :||Spectrum sharing is a promising technique to enhance spectrum utilization in cognitive radio environments. Cognitive sharing the spectra of licensed users provides unlicensed users with the opportunity to access rigid spectrum resources without degrading the performance of the licensed users. The result of this simultaneous sharing of limited spectrum resources by licensed and unlicensed users is more efficient spectrum utilization.
Spectrum sharing with licensed users is achieved by allowing unlicensed users to transmit when the interference power constraint at the licensed users is being satisfied. The interference power constraint protects the performance of the licensed users while at the same time determining the performance of the unlicensed users sharing the licensed spectrum. Therefore, the interference power constraint plays an important role in the spectrum sharing environment.
This article provides a guideline for spectrum sharing in the cognitive radio environment. A part of our effort focuses on examining the impact of the interference power constraint and the performance of the unlicensed users under each constraint. We first investigate the representative interference power constraints. Next, we propose a power allocation scheme to satisfy the outage probability of a primary user. The performance comparison is then used to confirm that the proposed scheme not only satisfy the outage probability of primary user, but also is robust to the outdated channel environments.
Hyungjong Kim, Sungsoo Park, Seokwon Lee, and Daesik Hong. 2011. Spectrum sharing in cognitive radio networks: impacts of interference power constraints. In Proceedings of the 4th International Conference on Cognitive Radio and Advanced Spectrum Management (CogART '11). ACM, New York, NY, USA, , Article 41 , 5 pages. DOI=10.1145/2093256.2093297 http://doi.acm.org/10.1145/2093256.2093297