On the Impact of the Soft Handoff Threshold and the Maximum Size of the Active Group on Resource Allocation and Outage Probability in the UMTS System

Avidor, D.; Hegde, Nidhi; Mukherjee, Sayandev

doi:10.1109/twc.2004.825368

Cited by 12 publications

(18 citation statements)

References 8 publications

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“…Older works show that shadowing correlation significantly affects handover behavior [6]- [9], interference power [10]- [14] (and consequently system performance) [15]- [17], and the performance of macrodiversity schemes [10], [18]- [23]. Furthermore, shadowing in decibels has been measured [18], [24]- [39] to have significant correlation in various scenarios.…”

Section: A Motivationmentioning

confidence: 99%

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On the Feasibility of Wireless Shadowing Correlation Models

Szyszkowicz

Yanıkömeroğlu

Thompson

2010

IEEE Trans. Veh. Technol.

164

125

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Abstract-There is emerging interest in more detailed models for wireless shadowing, which may include nonconstant shadowing variance, non-lognormal shadowing, and, most importantly, correlation between paths; we focus on this last aspect. This paper offers a structured synthesis of the existing literature on autocorrelation and cross-correlation in wireless shadowing and attempts to fill existing gaps in the analysis of correlation models. We make a survey of these models and argue, as has previously been observed, that certain models are not mathematically feasible, which may lead to problems in simulations or analysis. We then state some theorems that test whether the models are positive semidefinite, which is the central necessary condition for feasibility, and evaluate the existing models accordingly. Additionally, we evaluate the models according to their physical plausibility, which leads us to choose one model among many as arguably the best one in existence so far. This paper should be useful as a guide on how to implement shadowing correlation in one's work, how to choose an appropriate correlation model, and how to modify existing models or create new models so that they fulfill mathematical feasibility.

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Section: A Motivationmentioning

confidence: 99%

“…Typical parameter choices have been A = 0.3, B = 0.5 [17], [19], [21], [62] and A = 0.3, B = 0.699(9) [15], [92].…”

Section: Angle-only Modelsmentioning

confidence: 99%

On the Feasibility of Wireless Shadowing Correlation Models

Szyszkowicz

Yanıkömeroğlu

Thompson

2010

IEEE Trans. Veh. Technol.

164

125

View full text Add to dashboard Cite

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“…, M is a vector, and f * ib is given by (12). In the above optimization problem, (19) and (20) together indicate that if a connection can receive a guaranteed QoS, then all BSs involved in the SHO process of the connection provide the required SIR, i.e., b,S ib =1 ξ ib = χ i = 1; otherwise, b,S ib =1 ξ ib = χ i = 0, and no BS allocates power for the connection. The above problem is a mixed integer (χ i ) and nonlinear optimization problem (condition (17) is nonlinear) which is difficult to solve.…”

Section: Optimum Power Distribution For Qos Provisioningmentioning

confidence: 99%

“…Whether or not to perform these procedures for each removed connection in IPD may depend on the practical BS processing capability and QoS/capacity requirements of the system. According to the IPD and PDA processes, χ i = 1 for all connections that can be served with guaranteed QoS, and χ i = 0 otherwise, where χ i is defined in (19).…”

Section: B Power Distribution Adjustment (Pda)mentioning

confidence: 99%

“…Intuitively, having more BSs in the active set of a connection improves the macro-diversity of the connection and can improve the communication quality, whereas this may reduce the system capacity since a connection in SHO may require transmission power from multiple BSs. In [19], effect of the active BS set size and some other parameters in selecting BSs for the active set on the system performance is studied. In [17] a locally optimal handoff algorithm is derived to approximate the optimal tradeoff between the rate of handoffs, active set size and link quality.…”

Section: Introductionmentioning

confidence: 99%

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QoS guarantee and power distribution for soft handoff connections in cellular CDMA downlinks

Zhao

Shen²,

Mark³

2006

IEEE Trans. Wireless Commun.

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Abstract-A two-phase power distribution scheme for supporting quality-of-service (QoS) and best effort traffic is proposed. We first formulate the power distribution for QoS traffic as an optimization problem so that the number of simultaneously transmitting connections is maximized. Optimum power distribution is difficult to implement in practice due to both the computational complexity and the requirement for global information about the mobile station (MS) locations, connection channel conditions, and traffic load in the system. We then propose a heuristic scheme of power distribution for soft handoff (SHO) connections. The full scheme includes an initial power distribution (IPD) and a power distribution adjustment (PDA). IPD allocates BS power resource based on the channel condition of each individual connection, while PDA further coordinates the power distribution between neighboring base stations (BSs) in order to accommodate more connections. The proposed power distribution scheme can achieve a capacity close to that of the optimum power distribution, while providing much higher transmission throughput for best effort data traffic. The proposed power distribution scheme can be applied to existing SHO schemes for efficient BS power resource usage. The scheme does not require global information, and its implementation can be further simplified by performing IPD only with slight performance degradation.Index Terms-Cellular CDMA, soft handoff, power distribution, quality of service, optimization.

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Call Admission Control for Soft Handoff Coverage in CDMA Cellular System

Jain

Mittal²

2014

Int J Wireless Inf Networks

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In code division multiple access mobile cellular networks, the transmission quality can be improved by using the soft handoff techniques. The present investigation is concerned with the admission control policies by exploiting the soft handoff coverage area of the cellular radio network. We suggest finite Markov models for the admission control based on reserve channel and sub-rating policies. In reserve channel policy, a fixed number of channels are reserved exclusively to serve the handoff calls whereas according to sub-rating policy, the occupied channels can be split into two half rate channels to accommodate more handoff voice calls. It is also considered that the new call generation rate per unit area is uniformly distributed over the service area. Various performance indices are derived in terms of steady state probabilities. For some special situations, we validate and compare the models developed with previous existing models by setting the system descriptors. To examine the effect of various parameters on the performance measures, the sensitivity analysis is carried out by taking illustrations.

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On the Impact of the Soft Handoff Threshold and the Maximum Size of the Active Group on Resource Allocation and Outage Probability in the UMTS System

Cited by 12 publications

References 8 publications

On the Feasibility of Wireless Shadowing Correlation Models

On the Feasibility of Wireless Shadowing Correlation Models

QoS guarantee and power distribution for soft handoff connections in cellular CDMA downlinks

Call Admission Control for Soft Handoff Coverage in CDMA Cellular System

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