Downlink Femtocell Interference Mitigation and Achievable Data Rate Maximization: Using FBS Association and Transmit Power Control Schemes

Chen, Jenhui; Yang, Ching‐Chieh; Sheu, Shiann Tsong

doi:10.1109/tvt.2013.2294340

Cited by 9 publications

(9 citation statements)

References 23 publications

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“…Otherwise, if ≤ ℎ1 , the SeNB estimates +1 , Δ +1 , and +1 used in the Connection Safety Examination stage for checking the connection safety to prevent connection interruption. The way of obtaining +1 can be found in Step 2 (6) and +1 and Δ +1 can be found in Step 3 (9), respectively.…”

Section: Adaptive Measurement Report Period and Handoff Threshold Schemementioning

confidence: 99%

“…When the RSRQ value is lower than a predefined threshold, the handoff procedure will be initiated. However, the reported UE's RSRQ value is highly related to the circumstance that the UE stays and is also related to the moving velocity of UE [6]. Moreover, an appropriate handoff triggering point of time is hard to determine (i.e., for a better handoff quality as well as lower handoff overheads) because, in 3GPP E-UTRA, the value of RSRQ for triggering handoff procedures and the value of RSRQ report period are fixed.…”

Section: Introductionmentioning

confidence: 99%

“…Nevertheless, these schemes cannot determine an accurate handoff triggering point of time and prevent the ping-pong effect as well [17,18]. Some studies considered the signal power into their proposed methods [6,[19][20][21][22][23][24], but they neglected the impact of the moving velocity of UE on signal strength variation. Although Guo et al [25] considered the mobility management, they did not consider using the signal power to assist handoff decision making.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

An Adaptive Measurement Report Period and Handoff Threshold Scheme Based on SINR Variation in LTE-A Networks

Chen

Sheng

2015

Mathematical Problems in Engineering

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This paper deals with the problem of triggering handoff procedure at an appropriate point of time to reduce the ping-pong effect problem in the long-term evolution advanced (LTE-A) network. In the meantime, we also have studied a dynamic handoff threshold scheme, named adaptive measurement report period and handoff threshold (AMPHT), based on the user equipment’s (UE’s) reference signal received quality (RSRQ) variation and the moving velocity of UE. AMPHT reduces the probability of unnecessarily premature handoff decision making and also avoids the problem of handoff failure due to too late handoff decision making when the moving velocity of UE is high. AMPHT is achieved by two critical parameters: (1) a dynamic RSRQ threshold for handoff making; (2) a dynamic interval of time for the UE’s RSRQ reporting. The performance of AMPHT is validated by comparing numerical experiments (MATLAB tool) with simulation results (the ns-3 LENA module). Our experiments show that AMPHT reduces the premature handoff probability by 34% at most in a low moving velocity and reduces the handoff failure probability by 25% in a high moving velocity. Additionally, AMPHT can reduce a large number of unnecessary handoff overheads and can be easily implemented because it uses the original control messages of 3GPP E-UTRA.

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Section: Adaptive Measurement Report Period and Handoff Threshold Schemementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

An Adaptive Measurement Report Period and Handoff Threshold Scheme Based on SINR Variation in LTE-A Networks

Chen

Sheng

2015

Mathematical Problems in Engineering

Self Cite

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“…However, Roche et al [6] mentioned that the cross‐tier interference decreases the network performance. Hence we need to find a trade‐off between cross‐tier interference and network performance [7]. To protect the QoS of macrocell user (MUE), Liu et al [8] developed a reasonable and effective interference suppressing scheme by adjusting the total power of Femtocell users (FUEs).…”

Section: Introductionmentioning

confidence: 99%

Approach for power allocation in two‐tier femtocell networks based on robust non‐cooperative game

Liu

Yang

et al. 2017

IET Communications

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“…Introduction: When the small cell deployment density becomes much higher, the inter-cell interference is going to degrade the overall system performance. In [1], a low-complexity smart femto base station (FBS) selection algorithm (SFSA) is proposed to avoid interference, but it sacrifices a few femto users. Zheng et al [2] divide all small cell base stations (SCBSs) into the clusters which have the same property, but do not mitigate the interference in the same cluster.…”

mentioning

confidence: 99%

Clustering‐based interference management in dense small cell networks with backhaul constraints

Wang

Sun²,

Liu³

et al. 2015

Electron. lett.

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Small cell has been considered as a promising solution since it can improve coverage and system throughput. When a large number of small cells are overlapped, the limited backhaul capacity of the small cell and serious inter-cell interference become one of the major technical challenges. A clustering-based interference mitigation for dense small cell networks with backhaul constraints is investigated. The optimal problem which maximises the system capacity has been formulated. No-inter cluster and graph-based cluster are proposed, so as to reduce the inter-cell interference. Taking into account the chemical reaction optimisation and backhaul constraints, more interference could be mitigated and guarantee the limited backhaul. The simulation results demonstrate that the proposed policy could enhance the system throughput.

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Downlink Femtocell Interference Mitigation and Achievable Data Rate Maximization: Using FBS Association and Transmit Power Control Schemes

Cited by 9 publications

References 23 publications

An Adaptive Measurement Report Period and Handoff Threshold Scheme Based on SINR Variation in LTE-A Networks

An Adaptive Measurement Report Period and Handoff Threshold Scheme Based on SINR Variation in LTE-A Networks

Approach for power allocation in two‐tier femtocell networks based on robust non‐cooperative game

Clustering‐based interference management in dense small cell networks with backhaul constraints

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