Combined power and rate adaptation for wireless cellular systems

Chai, Chin Choy; Tjhung, Tjeng Thiang; Leck, Leng Chye

doi:10.1109/twc.2004.840233

Cited by 20 publications

(8 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…With a fixed rate, or equivalently, a fixed SINR threshold β for each sector, the result is a highly variable outage probability. An alternative to using a fixed rate for the entire network is to adapt the rate of each uplink to satisfy an outage constraint or maximize the throughput of each uplink [15], [16].…”

Section: B Rate Controlmentioning

confidence: 99%

See 1 more Smart Citation

An Analysis of the DS-CDMA Cellular Uplink for Arbitrary and Constrained Topologies

Torrieri

Valenti

Talarico

2013

IEEE Trans. Commun.

View full text Add to dashboard Cite

A new analysis is presented for the direct-sequence code-division multiple access (DS-CDMA) cellular uplink. For a given network topology, closed-form expressions are found for the outage probability and rate of each uplink in the presence of path-dependent Nakagami fading and shadowing. The topology may be arbitrary or modeled by a random spatial distribution with a fixed number of base stations and mobiles placed over a finite area. The analysis is more detailed and accurate than existing ones and facilitates the resolution of network design issues including the influence of the minimum base-station separation, the role of the spreading factor, and the impact of various power-control and rate-control policies. It is shown that once power control is established, the rate can be allocated according to a fixed-rate or variable-rate policy with the objective of either meeting an outage constraint or maximizing throughput. An advantage of variable-rate power control is that it allows an outage constraint to be enforced on every uplink, which is impossible when a fixed rate is used throughout the network.Index Terms-CDMA, cellular network, uplink, power control, rate control. achievement award for sustained contributions to the field.

show abstract

Section: B Rate Controlmentioning

confidence: 99%

“…For each uplink, the outage probability is computed by applying the rate-control policy and using (8) − (11), (13), and (15). Equation (17) is applied to calculate the average outage probability for the network realization.…”

Section: A Performance Metricsmentioning

confidence: 99%

An Analysis of the DS-CDMA Cellular Uplink for Arbitrary and Constrained Topologies

Torrieri

Valenti

Talarico

2013

IEEE Trans. Commun.

View full text Add to dashboard Cite

show abstract

“…There have been a lot of effective power and rate control methods reported in the literature. Generally speaking, the methods can be broadly classified into three categories: (i) resource allocation under perfect power control [1][2][3][4]; that is, the received power is well controlled at the target level, and then the transmission rate and power are optimised by maximizing the throughput, (ii) a snap-shot evaluation of the power and rate allocations pertaining to a given realisation of channel gains for each of the users [5,6], and (iii) power control based on resource allocation [7][8][9][10][11][12][13][14]; that is, the optimal transmission rate can be obtained according to the resource allocation, and the optimal target signal-toinference ratio (SIR) can be relatively determined, and then the power control is used to determine an optimal transmit power for each user to drive its actual SIR towards the optimal target SIR. The third method will be used in this paper.…”

Section: Introductionmentioning

confidence: 99%

Modeling and Model Predictive Power and Rate Control of Wireless Communication Networks

Chen

Sun

et al. 2014

Journal of Applied Mathematics

View full text Add to dashboard Cite

A novel power and rate control system model for wireless communication networks is presented, which includes uncertainties, input constraints, and time-varying delays in both state and control input. A robust delay-dependent model predictive power and rate control method is proposed, and the state feedback control law is obtained by solving an optimization problem that is derived by using linear matrix inequality (LMI) techniques. Simulation results are given to illustrate the effectiveness of the proposed method.A challenge issue in power and rate control is to maintain robustness to time delay [9,10,12]. To compensate for the effect of time delay, power and rate control algorithms have been presented by using a multiple-mode Smith prediction filter in [7] and by using a high order model in [9,10]. From a system-theoretic perspective, a power and rate control algorithm for wireless networks with state delay was presented in [12], which minimized the bound on the error variance between the desired and actual SIR. However, almost all existing power and rate control methods are limited to consider known and constant time delay. Unfortunately, the time delay is often unknown and even time-varying in real network environments.In the previous work, we presented power and rate control algorithms for wireless networks with time-varying state delay via adaptive control technique [13] and via robust ∞ control approach [14]. However, as in [12], the time delay only in rate control was considered, while the time delay in power control was not considered. In fact, the power control is more sensitive to time delay than the rate control. Additionally, only the state time delay was considered in [12][13][14], but the input delay was not considered. To the best knowledge of the authors, research on power and rate control for wireless communication networks with time-varying delays in both state and control input has not been investigated, which is another motivation of this paper.Another challenge issue in power and rate control is to maintain robustness to uncertainties and input constraints. It is well known that robust control with linear matrix inequality (LMI) is a powerful technique to cope with uncertainties, and model predictive control (MPC) has strong ability to handle input constraints [15,16]. Therefore, a robust MPC with LMI can be extended to power and rate control for wireless communication networks with uncertainties and input constraints, which is the third motivation of this paper.The main contributions of this paper are as follows.(1) In the control theoretic framework, a novel power and rate control system model is presented, which includes uncertainties, input constraints, and time-varying state and input delays in both rate control and power control. (2) A robust model predictive power and rate control method is presented for wireless communication networks with uncertainties, input constraints, and time-varying state and input delays. The state feedback control law is obtained by solving an optimization pr...

show abstract

“…Hybrid power and rate adaptation maximising the system capacity subject to fairness constraint has been addressed in [19]. In [20], hybrid power and rate adaptation has been considered to maximise carrier to interference ratio (CIR) in cellular systems. In [21], hybrid power and rate adaptation has been considered to maximise the system capacity subject to the constraint of cognitive users' interference in cognitive OFDMA systems.…”

Section: Introductionmentioning

confidence: 99%

Hybrid link adaptation for inter-carrier interference adjustment in orthogonal frequency division multiple access cellular uplink systems

Lee

2012

IET Commun.

View full text Add to dashboard Cite

In the uplink of orthogonal frequency division multiple access (OFDMA) systems, rate adaptation may not be exploitable mainly because of severe inter-carrier interference (ICI). In this study, the authors propose a novel hybrid link adaptation that simultaneously uses power adaptation for ICI adjustment and rate adaptation for capacity improvement in the uplink of OFDMA systems. The proposed hybrid link adaptation determines a maximum allowable transmission power according to the channel gain and velocity of each user, enabling all users to have a guaranteed loss of carrier to interference ratio (CIR). Moreover, the proposed hybrid link adaptation adjusts the transmission rate according to CIR of each user, while keeping the maximum allowable transmission power unchanged. The performance of the proposed hybrid link adaptation is analysed in OFDMA cellular uplink systems. Finally, the analytic results are verified by computer simulation.

show abstract

Combined power and rate adaptation for wireless cellular systems

Cited by 20 publications

References 8 publications

An Analysis of the DS-CDMA Cellular Uplink for Arbitrary and Constrained Topologies

An Analysis of the DS-CDMA Cellular Uplink for Arbitrary and Constrained Topologies

Modeling and Model Predictive Power and Rate Control of Wireless Communication Networks

Hybrid link adaptation for inter-carrier interference adjustment in orthogonal frequency division multiple access cellular uplink systems

Contact Info

Product

Resources

About