Unlicensed Carrier Selection and User Offloading in Dense LTE-U Networks

Baswade, A M and Sathya, V and Tamma, Bheemarjuna Reddy and Franklin, Antony (2016) Unlicensed Carrier Selection and User Offloading in Dense LTE-U Networks. In: IEEE Globecom Workshops, GC Wkshps, 4-8 December, 2016, Washington; United States.

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Due to the scarcity of licensed spectrum, Long-Term Evolution (LTE) operation in unlicensed spectrum is a promising solution to provide high data rate and to reduce the load on licensed spectrum. In Release 13, 3GPP introduced LTE in Unlicensed (LTE-U) as Licensed Assisted Access (LAA). In LTE-U, Carrier Aggregation (CA) feature aggregates licensed and unlicensed spectrum to get higher bandwidth. Use of unlicensed spectrum by Wi-Fi and LTE-U networks results in more interference because of lack of coordination and thereby makes it challenging for LTE-U operators to select best component carrier from available unlicensed carriers in case of dense deployments. In this paper, for efficient LTE-U operation, we propose dynamic Unlicensed Component Carrier Selection (UCCS) algorithm which minimizes interference from other networks (Wi-Fi and LTE-U). The algorithm considers fairness factor to achieve better performance for each User Equipment (UE). Further, the user offloading algorithm offloads those UE(s) to licensed carrier that are getting lesser throughput due to interference from adjacent cells operating on the same unlicensed carrier. The simulation results show that the proposed algorithm outperforms Random and Least Received Power channel selection schemes.

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IITH Creators:
IITH CreatorsORCiD
Tamma, Bheemarjuna ReddyUNSPECIFIED
Franklin, AntonyUNSPECIFIED
Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Mobile telecommunication systems; Wi-Fi; Wireless local area networks (WLAN); Wireless telecommunication systems Carrier aggregations; Component Carriers; High data rate; Received power; Unlicensed spectrum; User equipments
Subjects: Computer science > Big Data Analytics
Divisions: Department of Computer Science & Engineering
Depositing User: Team Library
Date Deposited: 11 Apr 2017 05:07
Last Modified: 07 Sep 2017 09:34
URI: http://raiith.iith.ac.in/id/eprint/3154
Publisher URL: https://doi.org/10.1109/GLOCOMW.2016.7849071
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