HSPA Evolution

Holma, Harri; and, Karri Ranta-aho; Toskala, Antti

doi:10.1002/9780470669501.ch15

Cited by 21 publications

(40 citation statements)

References 4 publications

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“…7 has been caused by large number of simultaneous users that were trying to access cell at the same time. Simultaneous radiated power in uplink direction from large number of users cause severe interference [16]. Thus number of wrongly transmitted blocks increases dramatically and uplink outer loop power control increases SIR target to satisfy TTE value set on RNC.…”

Section: Air Interface Uplink Capacity Overload Examplesmentioning

confidence: 99%

Self-optimizing Uplink Outer Loop Power Control for WCDMA Network

Markoč¹,

Šišul²

2015

RADIOENGINEERING

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Section: Air Interface Uplink Capacity Overload Examplesmentioning

confidence: 99%

Self-optimizing Uplink Outer Loop Power Control for WCDMA Network

Markoč¹,

Šišul²

2015

RADIOENGINEERING

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“…Once the target cell throughput is set, the next step is to define the way that this throughput relates to the SINR. Finally, we can describe how the required HS-DSCH transmission power (P HS-DSCH ) can be expressed as a function of the SINR value and the user location, in terms of Geometry factor (G), as in Equation (2) [8]:…”

mentioning

confidence: 99%

“…The G is given by the relationship between P own , P other , and P noise and is defined from Equation (3) [8]:…”

mentioning

confidence: 99%

“…E b /N 0 metric is not an attractive measure for HSDPA because the bit rate on the HS-DSCH is varied every TTI using different modulation schemes, effective code rates, and a number of High Speed-Physical Downlink Shared Channel (HS-PDSCH) codes. SINR for a single-antenna Rake receiver is calculated as in Equation (1) [8]: SINR = SF 16 P HS-DSCH (1−OF)· P own + P other + P noise (1) P HS-DSCH is the HS-DSCH transmission power, P own is the own cell interference experienced by the mobile user, P other the interference from neighboring cells, and P noise the Additive White Gaussian Noise. Parameter OF is the downlink orthogonality factor.…”

mentioning

confidence: 99%

“…ALEXIOU, C. BOURAS AND A. PAPAZOIS multi-code operation, fast scheduling, Hybrid ARQ (HARQ), and short Transmission Time Interval (TTI) of 2 ms [8,11].…”

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confidence: 99%

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A study of forward error correction for mobile multicast

Alexiou¹,

Bouras²,

Papazois³

2010

Int J Communication

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SUMMARY3rd Generation Partnership Project (3GPP) has standardized the use of forward error correction (FEC) for the provision of reliable data transmission in the mobile multicast framework. This error control method inevitably adds a constant overhead in the transmitted data. However, it is so simple as to meet a prime objective for mobile multicast services; that is scalability to applications with thousands of receivers. In this paper, we present a study on the impact of application layer FEC on mobile multicast transmissions. We examine whether it is beneficial or not, how the optimal code dimension varies based on network conditions, which parameters affect the optimal code selection, and how this can be done. Additionally, we focus on one of the most critical aspects in mobile multicast transmission, which is power control. The evaluation is performed with the aid of a novel scheme that incorporates the properties of an evolved mobile network, as they are specified by the 3GPP.

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Optimal rate allocation and QoS-sensitive admission control in wireless integrated networks

Shin

Lee

2010

Wireless Netw

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The problem of Call Admission Control and rate allocation in loosely coupled wireless integrated networks is investigated. The related Radio Resource Management schemes were introduced to improve network performance in wireless integrated networks. However, these schemes did not reflect the independence and competitiveness of loosely coupled wireless integrated networks. Furthermore, given that users have different requirements for price and Quality of Service (QoS), they are able to select a network according to their preference. We consider a scenario with two competitive wireless networks, namely Universal Mobile Telecommunications System cellular networks and Wireless Local Area Networks. Users generate two types of traffic with different QoS requirements: real-time and non-realtime. We propose a scheme that exploits a mathematical model for the control of call admission and adopt a noncooperative game theory-based approach to address the rate allocation problem. The purpose is to maximize the revenue of the network providers while guaranteeing a level of QoS according to user needs. Simulation results show that the proposed scheme provides better network performance with respect to packet loss rate, packet delay time, and callblocking probability than other schemes when the data rates are allocated to each call at the point that maximizes the revenue of network providers. We further demonstrate that a Nash equilibrium always exists for the considered games.

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HSPA Evolution

Cited by 21 publications

References 4 publications

Self-optimizing Uplink Outer Loop Power Control for WCDMA Network

Self-optimizing Uplink Outer Loop Power Control for WCDMA Network

A study of forward error correction for mobile multicast

Optimal rate allocation and QoS-sensitive admission control in wireless integrated networks

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