Quality-of-service provisioning and efficient resource utilization in CDMA cellular communications

Jiang, Hai; Zhuang, Weihua; Shen, Xuemin; Bi, Qi

doi:10.1109/jsac.2005.858897

Cited by 40 publications

(12 citation statements)

References 82 publications

(96 reference statements)

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“…This also agrees with the utility function for Internet data addressed by Shenker in [11]. The form of U i (·) depends on the user's specified service, and its parameters can be determined through sophisticated subjective surveys [8].…”

Section: System Modelsupporting

confidence: 74%

“…The solution for the scenario with only two users is expressed as (8) at the top of the next page, and illustrated in Fig. 1, where C i = c i /A is the scaled achievable transmission rate of user i.…”

Section: B Solution For Log Utility Functionmentioning

confidence: 99%

“…At any instant only one user can transmit, but each time frame can be accessed by two or more users in an adaptive time-division fashion, depending on the channel conditions and system preferences. We intend to address the three challenges in wireless cellular environment [8]: limited radio resources, time-varying wireless channels, and limited battery power supply of mobile terminals. We first consider the optimal time sharing (TS) policy when perfect CSI is available at the base station.…”

Section: Introductionmentioning

confidence: 99%

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Time Sharing Policy in Wireless Networks for Variable Rate Transmission

Zhang

Tao

SumNg

2007

2007 IEEE International Conference on Communications

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Abstract-For most of wireless services with variable rate transmission, both average rate and rate oscillation are important performance metrics. One often needs to decide how much rate oscillation the service can tolerate to obtain a higher average rate. Service satisfaction for each user is quantified by an increasing and concave utility function of instantaneous transmission rate. It is capable of facilitating the resource allocation with flexible combinations of average rate and rate oscillation. Particularly, we are interested in maximizing the time-average aggregate utility by scheduling user transmissions in a time-shared wireless network. A resource allocation policy is developed, namely, time sharing (TS), to exploit the concavity of utility function and the fluctuation of channel gain. This is formulated as a constrained convex optimization problem. Our analysis shows that in the TS policy the optimal scheduler allows multiple users with relatively better channel conditions to share a same time frame in an adaptive time-division manner. In addition, the more concave the utility function is, the higher the probability of time frame sharing is. An extension to quantized time sharing with limited channel feedback (QTSL) for practical systems is all studied. Simulation results show that, two to three bits of channel state information (CSI) are sufficient for the performance of QTSL scheme to approach that of the optimal TS policy when the number of time slots in a time frame is not less than the number of users, especially, in high SNR region.

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Section: System Modelsupporting

confidence: 74%

Section: B Solution For Log Utility Functionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Time Sharing Policy in Wireless Networks for Variable Rate Transmission

Zhang

Tao

SumNg

2007

2007 IEEE International Conference on Communications

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“…To optimize the network it can be formulate on the basis of Lagrangian multiplier method [1]. So it can be formulated as…”

Section: Radio Resource Allocation and Network Welfare In A Wlan Systemmentioning

confidence: 99%

Performance Analysis of Economic Model and Radio Resource Management in Heterogeneous Wireless Networks

Chakraborty¹

2013

IJCNC

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“…CDMA has been adopted as multiple access technology for 3G and beyond due to its advantages such as universal frequency reuse, soft handoff, inherent diversity and high spectrum efficiency [1]. Multimedia services over IP based CDMA wireless networks will be one of the key applications in future generation wireless networks.…”

Section: Introductionmentioning

confidence: 99%

Performance of an adaptive power based CDMA cognitive radio networks

Roy

Kundu

2010

2010 IEEE Symposium on Industrial Electronics and Applications (ISIEA)

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In this paper, the performance of a Cognitive Radio (CR) CDMA networks is analyzed in uplink. More precisely, we develop a simulation testbed for analyzing performances of a CR user and a primary user (PU) in a single cell. CR users belong to infrastructure less ad hoc network, which coexist with a primary radio network (PRN). CR users or secondary users (SUs) are considered to form pair wise links. PU and SU are also given on/off activity model to imitate a real time scenario. We propose a scheme of adapting transmission power of SU on the basis of data rate and other network parameters, in order to improve QoS of SU. Further, we evaluate the performance of PRN and CRN in terms of probability of outage and achievable data rate of a PU and a SU.

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Quality-of-service provisioning and efficient resource utilization in CDMA cellular communications

Cited by 40 publications

References 82 publications

Time Sharing Policy in Wireless Networks for Variable Rate Transmission

Time Sharing Policy in Wireless Networks for Variable Rate Transmission

Performance Analysis of Economic Model and Radio Resource Management in Heterogeneous Wireless Networks

Performance of an adaptive power based CDMA cognitive radio networks

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