Channel capacity and error exponents of variable rate adaptive channel coding for Rayleigh fading channels

Lau, V.K.N.

doi:10.1109/26.789670

Cited by 22 publications

(10 citation statements)

References 16 publications

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“…A variable‐rate control does not improve channel capacity 29, that is, asymptotically there is no difference between fixed‐rate and variable‐rate coding schemes. However, it has been shown that they can provide better performance for low‐complexity or delay‐constrained systems 30–32.…”

Section: Adaptive Error Controlmentioning

confidence: 99%

Channel‐adaptive techniques in wireless communications: an overview

Cianca¹,

Luise²,

Ruggieri³

et al. 2002

Wireless Communications

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The concept of adaptivity is of paramount importance in the design of future communication systems, in which a careful exploitation of the limited available resources (bandwidth, power, etc.) is required. The potential of channel‐adaptive transmission has been already recognized 30 years ago, but it did not receive much interest at that time. In the last decade, the advent of feasible software radio systems, and hence, the availability of fast flexible and reconfigurable transceivers has renewed interest in adaptive techniques, which include adaptive modulation and coding, adaptive antennas and adaptive equalization techniques. This paper focuses on adaptive modulation and adaptive error control mechanisms. Basic concepts are highlighted and an overview on the achieved results and new trends in this research area are presented. Some results from information theory are also presented, which show the limitations of these techniques and motivate further research on the practical and design issues that have to be addressed to enable performance to reach close to the theoretical limit. Copyright © 2002 John Wiley & Sons, Ltd.

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Section: Adaptive Error Controlmentioning

confidence: 99%

Channel‐adaptive techniques in wireless communications: an overview

Cianca¹,

Luise²,

Ruggieri³

et al. 2002

Wireless Communications

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“…This channel adaptation process can be implemented by incorporating a variable throughput adaptive coding and modulation physical layer in the system (both at the basestation and at the mobile devices) [24], [29], [30]. For example, the VTAOC scheme [27], [28], as shown in Fig. 2, can be used.…”

Section: Channel Adaptationmentioning

confidence: 99%

System modeling and performance evaluation of rate allocation schemes for packet data services in wideband cdma systems

Kwok¹,

Lau²

2003

IEEE Trans. Comput.

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To fully exploit the potential of a wideband CDMA-based mobile Internet computing system, an efficient algorithm is needed for judiciously performing rate allocation, so as to orchestrate and allocate bandwidth for voice services and high data rate applications. However, in existing standards (e.g., cdma2000), only a first-come-first-served equal sharing allocation algorithm is used, potentially leading to a low bandwidth utilization and inadequate support of high data rate multimedia mobile applications (e.g., video/audio files swapping, multimedia messaging services, etc.). In this paper, we first analytically model the rate allocation problem that captures realistic system constraints such as downlink power limits and control, uplink interference effects, physical channel adaptation, and soft handoff. We then suggest six efficient rate allocation schemes that are designed based on different philosophies: rate optimal, fairness-based, and user-oriented. Simulations are performed to evaluate the effectiveness of the rate allocation schemes using realistic system parameters in our model.

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“…This is equivalent to the condition for all , and for all . This is again equivalent to the following set of equations: (25) and (26) The number of unknowns in (25) and (26) is given by , and the number of equations in the system is given by . Note that with probability one, the set of equations in (25) will be inconsistent when the number of unknowns is larger than the number of equations.…”

Section: Appendix a Proof Of The Optimal Multiuser Mimo Schedulermentioning

confidence: 99%

The role of transmit diversity on wireless communications-reverse link analysis with partial feedback

Lau¹,

Liu²,

Chen³

2002

IEEE Trans. Commun.

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Transmit diversity through multiple transmit antennas is generally regarded as beneficial to the link-level performance. In this paper, we shall investigate the role of transmit diversity with respect to the link level and the system-level performance. We focus on the reverse link analysis, where mobile users are assumed to have independent fading, and they are equipped with multiple transmit antennas (). Each mobile station is assumed to have an average power constraint. The base station is assumed to have receive antennas. We consider two levels of partial feedback, namely, scalar feedback and per-antenna vector feedback. In both cases, the transmitter does not have full knowledge of the channel matrix. Based on the information theoretical analytical model, it is shown that transmit diversity could enhance link-level performance, but is harmful to the multiuser system performance when there is insufficient feedback information.

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Channel capacity and error exponents of variable rate adaptive channel coding for Rayleigh fading channels

Cited by 22 publications

References 16 publications

Channel‐adaptive techniques in wireless communications: an overview

Channel‐adaptive techniques in wireless communications: an overview

System modeling and performance evaluation of rate allocation schemes for packet data services in wideband cdma systems

The role of transmit diversity on wireless communications-reverse link analysis with partial feedback

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