000089972 001__ 89972
000089972 005__ 20210902121745.0
000089972 0247_ $$2doi$$a10.1016/j.comnet.2020.107280
000089972 0248_ $$2sideral$$a118382
000089972 037__ $$aART-2020-118382
000089972 041__ $$aeng
000089972 100__ $$aCampos, Pablo
000089972 245__ $$aAnalysis of hidden node problem in LTE networks deployed in unlicensed spectrum
000089972 260__ $$c2020
000089972 5060_ $$aAccess copy available to the general public$$fUnrestricted
000089972 5203_ $$aLTE operation in the unlicensed spectrum based on Licensed-Assisted Access (LAA) is being considered as an option to increase the capacity of 4G/5G wireless networks. This solution allows the eNodeB to contend with other nodes by accessing the shared medium and, through carrier aggregation (CA), to use both licensed and unlicensed bands to deliver best effort services. Nevertheless, the hidden node problem over shared medium access networks is an obstacle that must be addressed in order to reduce or avoid performance degradation problems. The metrics associated to LAA reflect the behavior of a node facing collisions. A better understanding of these metrics can help to identify nodes affected by hidden terminals, making it possible to take smart decisions about the continuity of a node on the unlicensed band, resulting in an improved network performance. In this paper, we first study the Channel Quality Indicator (CQI), Reference Signal Received Power (RSRP) and Reference Signal Received Quality (RSRQ) metrics on the context of LAA for a User Equipment (UE) that is facing different levels of interference. Then, a combination of the above metrics is used in order to develop an algorithm for collision detection. Finally, the performance of the algorithm is evaluated using a simulation tool under realistic channel conditions. The results show that is feasible to detect, with an adequate accuracy level, if a node is affected by collisions and subsequently if this node is located in hidden area. This is demonstrated with different levels of interference, realistic channel conditions and users in movement inside the hidden area.
000089972 536__ $$9info:eu-repo/grantAgreement/ES/DGA/T31-20R$$9info:eu-repo/grantAgreement/ES/MICINN/RTI2018-095684-B-100$$9info:eu-repo/grantAgreement/ES/MICINN/RTI2018-099063-B-100
000089972 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc-nd$$uhttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
000089972 590__ $$a4.474$$b2020
000089972 591__ $$aCOMPUTER SCIENCE, HARDWARE & ARCHITECTURE$$b9 / 53 = 0.17$$c2020$$dQ1$$eT1
000089972 591__ $$aTELECOMMUNICATIONS$$b18 / 91 = 0.198$$c2020$$dQ1$$eT1
000089972 591__ $$aENGINEERING, ELECTRICAL & ELECTRONIC$$b48 / 273 = 0.176$$c2020$$dQ1$$eT1
000089972 591__ $$aCOMPUTER SCIENCE, INFORMATION SYSTEMS$$b39 / 162 = 0.241$$c2020$$dQ1$$eT1
000089972 592__ $$a0.798$$b2020
000089972 593__ $$aComputer Networks and Communications$$c2020$$dQ1
000089972 655_4 $$ainfo:eu-repo/semantics/review$$vinfo:eu-repo/semantics/publishedVersion
000089972 700__ $$0(orcid)0000-0002-0299-0859$$aHernández-Solana, Ángela$$uUniversidad de Zaragoza
000089972 700__ $$0(orcid)0000-0003-2664-6339$$aValdovinos-Bardají, Antonio$$uUniversidad de Zaragoza
000089972 7102_ $$15008$$2560$$aUniversidad de Zaragoza$$bDpto. Ingeniería Electrón.Com.$$cÁrea Ingeniería Telemática
000089972 773__ $$g177 (2020), 107280 [18 pp.]$$pComput. networks$$tComputer Networks$$x1389-1286
000089972 8564_ $$s5509521$$uhttps://zaguan.unizar.es/record/89972/files/texto_completo.pdf$$yVersión publicada
000089972 8564_ $$s50850$$uhttps://zaguan.unizar.es/record/89972/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000089972 909CO $$ooai:zaguan.unizar.es:89972$$particulos$$pdriver
000089972 951__ $$a2021-09-02-09:45:17
000089972 980__ $$aARTICLE