Radio Resource Management

Kazmi, M.

doi:10.1002/9780470978504.ch22

Cited by 2 publications

(4 citation statements)

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“…( 4). This transmission indicates the start of the HO command in the physical downlink shared channel from the serving eNB, which should not exceed the following [35]:…”

Section: Fig 2 Mp Process [7] and Ho Interruption Time T Irmentioning

confidence: 99%

“…3), which depends on RSRP or RSRQ. The HO delay is the total RRC procedure delay in addition to the T IR [35].…”

Section: Radio Link Performancementioning

confidence: 99%

“…T SI is the time needed to read the target cell system information (SI). T PRACH is the delay caused by the random access procedure [35], [36]. The UE's estimation of the downlink radio link quality is compared with the "out-of-sync" and "in-sync" thresholds, Q out and Q in , respectively, to monitor the radio link.…”

Section: Radio Link Performancementioning

confidence: 99%

“…An out-of-sync occurs when no discontinuous reception (DRX) is configured, particularly when the downlink radio link quality calculated through the last 200 ms period becomes poorer than the threshold Q out . The in-sync also occurs without DRX when the downlink radio link quality calculated through the last 100 ms period becomes better than the threshold Q in [35].…”

Section: Radio Link Performancementioning

confidence: 99%

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Handover in LTE Networks with Proactive Multiple Preparation Approach and Adaptive Parameters Using Fuzzy Logic Control

2015

KSII TIIS

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High data rates in long-term evolution (LTE) networks can affect the mobility of networks and their performance. The speed and motion of user equipment (UE) can compromise seamless connectivity. However, a proper handover (HO) decision can maintain quality of service (QoS) and increase system throughput. While this may lead to an increase in complexity and operational costs, self-optimization can enhance network performance by improving resource utilization and user experience and by reducing operational and capital expenditure. In this study, we propose the self-optimization of HO parameters based on fuzzy logic control (FLC) and multiple preparation (MP), which we name FuzAMP. Fuzzy logic control can be used to control self-optimized HO parameters, such as the HO margin and time-to-trigger (TTT) based on multiple criteria, viz HO ping pong (HOPP), HO failure (HOF) and UE speeds. A MP approach is adopted to overcome the hard HO (HHO) drawbacks, such as the large delay and unreliable procedures caused by the break-before-make process. The results of this study show that the proposed method significantly reduces HOF, HOPP, and packet loss ratio (PLR) at various UE speeds compared to the HHO and the enhanced weighted performance HO parameter optimization (EWPHPO) algorithms.

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“…( 4). This transmission indicates the start of the HO command in the physical downlink shared channel from the serving eNB, which should not exceed the following [35]:…”

Section: Fig 2 Mp Process [7] and Ho Interruption Time T Irmentioning

confidence: 99%

“…3), which depends on RSRP or RSRQ. The HO delay is the total RRC procedure delay in addition to the T IR [35].…”

Section: Radio Link Performancementioning

confidence: 99%

Section: Radio Link Performancementioning

confidence: 99%

Section: Radio Link Performancementioning

confidence: 99%

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