Effect of measurement bandwidth to the accuracy of inter-frequency RSRP measurements in LTE

Kurjenniemi, Janne; Henttonen, Tero

doi:10.1109/pimrc.2008.4699694

Cited by 24 publications

(8 citation statements)

References 3 publications

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“…The state probability distribution at any instant is thus given by (16) Since the starting instant 0 corresponds to the moment when the mobile enters into connected-mode, the initial state probability distribution is given as (17) where (18) is the probability that the handover measurement is triggered at instant 0. The above formulation allows evaluating various quantities of interest, including key performance metrics of handover measurement in Section V-F.…”

Section: E State Transition Matrixmentioning

confidence: 99%

“…Simulation results show that periodic reporting outperforms event-triggered mode, but at the expense of increased signaling cost. For LTE systems, the impact of time-to-trigger, user speed, handover margin, and measurement bandwidth to handover measurement are investigated through simulations in [15]- [17], respectively. Moreover, handover measurement with linear and decibel signal averaging is studied in [18].…”

Section: Introductionmentioning

confidence: 99%

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A Unified Stochastic Model of Handover Measurement in Mobile Networks

Nguyễn¹,

Chen²,

Thomas³

2014

IEEE/ACM Trans. Networking

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Handover measurement is responsible for finding a handover target and directly decides the performance of mobility management. It is governed by a complex combination of parameters dealing with multi-cell scenarios and system dynamics. A network design has to offer an appropriate handover measurement procedure in such a multi-constraint problem. The present paper proposes a unified framework for the network analysis and optimization. The exposition focuses on the stochastic modeling and addresses its key probabilistic events namely (i) suitable handover target found, (ii) service failure, (iii) handover measurement triggering, and (iv) handover measurement withdrawal. We derive their closed-form expressions and provide a generalized setup for the analysis of handover measurement failure and target cell quality by the best signal quality and \st{minimum duration outage} \textit{level crossing properties}. Finally, we show its application and effectiveness in today's 3GPP-LTE cellular networks.Comment: Published in IEEE/ACM Transaction on Networking, vol.22, no.5, pp.1559,1576, Oct. 201

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Section: E State Transition Matrixmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Unified Stochastic Model of Handover Measurement in Mobile Networks

Nguyễn¹,

Chen²,

Thomas³

2014

IEEE/ACM Trans. Networking

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“…The simulation tool has been widely used in 3GPP standardization as well as in several scientific publications as in [1] and [9]. Dynamic system simulations offer realistic analysis of mobility and handovers, since both time and mobility are modeled explicitly.…”

Section: A Simulation Toolmentioning

confidence: 99%

“…HO measurement performance with different measurement bandwidths has been studied in [1] and suitability of Reference Symbol Received Quality (RSRQ) for quality based inter-frequency HO has been evaluated in [2]. In [3] Inter Cell Interference Coordination (ICIC) has been proposed to reduce number of RLFs without effecting the HO rates.…”

Section: Introductionmentioning

confidence: 99%

Radio problem detection assisted rescue handover for LTE

Puttonen

Kurjenniemi

Alanen

2010

21st Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications

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In this paper we propose a radio problem detection based rescue handover for 3G Long Term Evolution (LTE). The radio problem detection based handover algorithm takes advantage of already existing Radio Link Failure (RLF) detection mechanism specified in 3GPP for LTE. In coverage limited scenarios as well as challenging interference and mobility conditions, the event triggered handover measurement report may not be even sent to Evolved NodeB at the time of RLF. In proposed algorithm UE shall monitor the downlink quality based on the cell-specific reference signal in order to detect the downlink radio link quality of the serving cell. In case of a detected radio link problem handover process is initiated to a better cell. The proposed handover algorithm is compared to the default UE assisted hard handover process by means of fully dynamic system level simulations. Based on the studies it can be concluded that the radio problem detection assisted handover algorithm decreases the amount of RLFs thereby improving the handover and system performance. Especially the RLFs that occur before the handover process is even started are basically non-existent.

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“…The propagation path between the eNodeB and UE from simple line-of-sight (LOS) is severely blocked by buildings, mountains, and tunnel, which result in the shadowing effect and fast-fading [9].Therefore, different channel environment, velocity or measurement bandwidth may have great influence on the measurement of RSRP and RSRQ [10], and then the HO performance [11]. This is more prominent in high-speed railway scenario.…”

Section: Introductionmentioning

confidence: 99%

Impact Analysis of Layer 3 Filtering on LTE Handover Performance in High-speed Railway Scenario

Zhang¹,

Miao²,

Zhang³

et al. 2013

JDCTA

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Handover (HO) which can make user equipment (UE) communicate with the eNodeB (evolves NodeB) with the highest signal quality will have bad performance in high-speed railway scenario. In this paper, detailed introduction is made on Layer3 (L3) filtering theory to help solve this problem. HO measurement and HO decision procedure based on L3 filtering are designed and implemented in a dynamic system level simulation platform modeling two kinds of radio channel environment-mountainous and rural scenario. The Reference Signal Received Power (RSRP) of source and target eNodeB has been simulated to research and achieve proper L3 filtering strategy. Ping-pong HO rate and radio link failure (RLF) rate have been investigated to verify the influence of L3 filtering to HO performance. Simulation results show that the best L3 filtering factor is 1/6 and its impact on Pingpong HO rate and mountainous scenario is greater than on RLF rate and rural scenario.

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Effect of measurement bandwidth to the accuracy of inter-frequency RSRP measurements in LTE

Cited by 24 publications

References 3 publications

A Unified Stochastic Model of Handover Measurement in Mobile Networks

A Unified Stochastic Model of Handover Measurement in Mobile Networks

Radio problem detection assisted rescue handover for LTE

Impact Analysis of Layer 3 Filtering on LTE Handover Performance in High-speed Railway Scenario

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