Location Based Joint Spectrum Sensing and Radio Resource Allocation in Cognitive Radio Enabled LTE-U Systems
| Autor: | Yi-Feng Huang, Lingyu Chen, Hsiao-Hwa Chen, Qi Yang, Xuemin Hong, Liangmin Wang, Jianghong Shi, Yin-Chen Yen |
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| Rok vydání: | 2020 |
| Předmět: |
Channel allocation schemes
Computer Networks and Communications Computer science business.industry Quality of service ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS Aerospace Engineering Throughput Spectrum management Cognitive radio Transmission (telecommunications) Hardware_GENERAL Automotive Engineering Cellular network Electrical and Electronic Engineering business Computer network |
| Zdroj: | IEEE Transactions on Vehicular Technology. 69:2967-2979 |
| ISSN: | 1939-9359 0018-9545 |
| DOI: | 10.1109/tvt.2020.2966514 |
| Popis: | To support high speed transmission and traffic offloading from cellular networks, LTE-unlicensed (LTE-U) standard was proposed by 3GPP to enable cellular data transmission in unlicensed band. The primary challenge of LTE-U is to successfully coexist with the incumbent systems (e.g., WiFi networks) in the unlicensed bands, while still maintaining the quality-of-service (QoS) for LTE-A users. This paper proposes a new framework for implementing LTE-U standard based on deployed LTE-A infrastructure and cognitive radio (CR) technology to sense radio environment and construct a spectrum map, based on which the LTE-U system can perform joint power and channel allocation to maximize the overall system throughput. We introduce a spectrum map construction scheme and evaluate the Cramer-Rao bound of the scheme. It is shown that the original NP-hard joint power and channel allocation problem can be transformed into a linear programming problem for its solution. Simulation results verify that the proposed LTE-U scheme helps improve system throughput via access collision avoidance. |
| Databáze: | OpenAIRE |
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