A Framework for Load Balanced UE Association in Dense LTE Networks Soumadip Biswas, Arobinda Gupta, Sandip Chakraborty IEEE International Symposium on Personal Indoor and Mobile Radio Communications PIMRC, 2019 Most existing UE association techniques consider signal strength from eNBs as the primary metric for handover decisions. This may result in unbalanced distribution of UEs to eNBs in a dense LTE network with large number of users, even though a UE may have multiple good eNB options for association. In this paper we propose a load balancing framework that can be applied over any existing handover algorithm periodically to balance eNB loads. The framework uses a novel metric based on eNB-availability-option of UEs for choosing the set of UEs to handover to balance load and their target eNBs, while ensuring good signal quality. A specific algorithm based on the framework is proposed and evaluated by simulating on NS-3 over five existing handover algorithms.
Poster Abstract: Balanced User Association in Dense LTE Networks Soumadip Biswas, Sandip Chakraborty, Arobinda Gupta INFOCOM 2019 IEEE Conference on Computer Communications Workshops INFOCOM Wkshps 2019, 2019 This poster discusses a user association strategy for 3GPP LTE networks for balancing load across eNBs by considering UE loads across neighboring eNBs. The proposed approach considers a dense eNB deployment scenario and triggers additional handovers to balance the load across eNBs while minimizing spurious handovers based on UE mobility estimation. A thorough simulation of the proposed strategy over NS-3 indicates that the proposed UE association strategy helps in balancing the load across neighboring eNBs.
Reducing Spurious Handovers in Dense LTE Networks based on Signal Strength Look-ahead Soumadip Biswas, Sandip Chakraborty, Arobinda Gupta International Conference on Wireless and Mobile Computing Networking and Communications, 2018 Handover, the process of transferring a call or data session from one base station to another without disconnection, is an important problem in LTE networks. Several handover algorithms have been proposed for LTE networks in general. However, they mostly use the current signal strengths for making handover decisions, which can cause spurious handovers in a dense eNB deployment. In this paper, we investigate the use of look-ahead signal strength information for reducing spurious handovers. We first propose a novel graph-based framework that uses signal strength information along the mobile trajectory of the UE to make better handover decisions. Two algorithms are then presented based on this framework. The first algorithm assumes that exact signal measurements at the UE from all eNBs in its trajectory are available a priori for all time instances, and provides a baseline reference for finding the minimum number of handovers that can be achieved. The second algorithm uses the exact signal measurement for the current time instance only, and estimates the signal strengths for future time instances. The performances of the algorithms are compared with four existing LTE handover algorithms using simulation on real world data. It is shown that the proposed algorithms significantly reduce the number of handovers while still maintaining good signal quality for communication throughout the trajectory of the UE.
RECENT SCHOLAR PUBLICATIONS
Algorithms for Handover Management in Dense LTE Networks under Vehicular Mobility S Biswas IIT Kharagpur , 2023 2023
Load-balanced user associations in dense LTE networks S Biswas, A Gupta, S Chakraborty Computer Networks 189, 107928 , 2021 2021 Citations: 5
A framework for load balanced UE association in dense LTE networks S Biswas, A Gupta, S Chakraborty 2019 IEEE 30th Annual International Symposium on Personal, Indoor and Mobile … , 2019 2019 Citations: 3
Balanced User Association in Dense LTE Networks S Biswas, S Chakraborty, A Gupta IEEE INFOCOM 2019-IEEE Conference on Computer Communications Workshops … , 2019 2019
Reducing spurious handovers in dense LTE networks based on signal strength look-ahead S Biswas, S Chakraborty, A Gupta 2018 14th international conference on wireless and mobile computing … , 2018 2018 Citations: 5
MOST CITED SCHOLAR PUBLICATIONS
Load-balanced user associations in dense LTE networks S Biswas, A Gupta, S Chakraborty Computer Networks 189, 107928 , 2021 2021 Citations: 5
Reducing spurious handovers in dense LTE networks based on signal strength look-ahead S Biswas, S Chakraborty, A Gupta 2018 14th international conference on wireless and mobile computing … , 2018 2018 Citations: 5
A framework for load balanced UE association in dense LTE networks S Biswas, A Gupta, S Chakraborty 2019 IEEE 30th Annual International Symposium on Personal, Indoor and Mobile … , 2019 2019 Citations: 3
Algorithms for Handover Management in Dense LTE Networks under Vehicular Mobility S Biswas IIT Kharagpur , 2023 2023
Balanced User Association in Dense LTE Networks S Biswas, S Chakraborty, A Gupta IEEE INFOCOM 2019-IEEE Conference on Computer Communications Workshops … , 2019 2019
