- 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 :||Achievable Transmission Capacity of Secondary System in Cognitive Radio Networks|
|Authors :||Jemin Lee, Sungmook Lim, Jeffrey G. Andrews and Daesik Hong|
|Conference :||IEEE ICC 2010|
|Abstract :||This paper evaluates the secondary system’s transmission capacity in cognitive ratio networks, defined by the maximum spatial density of successful transmissions while guaranteeing the outage probability constraints of the secondary and the primary systems. By using stochastic geometry, the relation between the spatial densities, the transmission powers, and the transmission capacities of spectrum sharing systems are presented. Subsequently, the optimal spatial density of the secondary system and the optimal transmission power ratio of the primary system to the secondary system are derived. Furthermore, the achievable transmission capacity is defined using the derived optimal values. From the theoretical results, it is shown that the optimal transmission power ratio is affected by not the density of the primary system, but the system parameters including the target outage probability. In addition, the achievable transmission capacity of the secondary system decreases as the spatial density of the primary system increases
at the decreasing rate determined by the system parameters of the primary system.
Jemin Lee; Sungmook Lim; Andrews, J.G.; Daesik Hong; , "Achievable Transmission Capacity of Secondary System in Cognitive Radio Networks," Communications (ICC), 2010 IEEE International Conference on , vol., no., pp.1-5, 23-27 May 2010