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Proceedings ArticleDOI

Information capacity and power control in single-cell multiuser communications

Raymond Knopp, +1 more
- Vol. 1, pp 331-335
TLDR
By examining the bit error-rate with antipodal signalling, it is shown that an increase in capacity over a perfectly-power controlled (Gaussian) channel can be achieved, especially if the number of users is large, and the inherent diversity in multiuser communications over fading channels is shown.
Abstract
We consider a power control scheme for maximizing the information capacity of the uplink in single-cell multiuser communications with frequency-flat fading, under the assumption that the users attenuations are measured perfectly. Its main characteristics are that only one user transmits over the entire bandwidth at any particular time instant and that the users are allocated more power when their channels are good, and less when they are bad. Moreover, these features are independent of the statistics of the fading. Numerical results are presented for the case of single-path Rayleigh fading. We show that an increase in capacity over a perfectly-power controlled (Gaussian) channel can be achieved, especially if the number of users is large. By examining the bit error-rate with antipodal signalling, we show the inherent diversity in multiuser communications over fading channels.

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Citations
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Proceedings ArticleDOI

Optimal power allocation over parallel Gaussian broadcast channels

TL;DR: It is shown that capacity can be achieved by optimal power allocation over the channels, and an explicit characterization of the optimal power allocations and the resulting capacity region is obtained.
Journal ArticleDOI

Chunk-based resource allocation in OFDMA systems - part I: chunk allocation

TL;DR: In this paper, throughput performance analysis of the chunk-based subcarrier allocation is presented by considering the average bit-error-rate (BER) constraint over a chunk in downlink multiuser orthogonal frequency division multiplexing (OFDM) transmission.
Journal ArticleDOI

Capacity and optimal resource allocation for fading broadcast channels .I. Ergodic capacity

TL;DR: This paper derives the outage capacity regions of fading broadcast channels, assuming that both the transmitter and the receivers have perfect channel side information, and finds a strategy which bounds the outage probability region for different spectrum-sharing techniques.
Proceedings ArticleDOI

How much feedback is multi-user diversity really worth?

TL;DR: A theoretical analysis of the feedback load as function of the system's ergodic and outage capacity for both the traditional MUDiv scheme and the new scheme is provided.
Journal ArticleDOI

On the capacity of some channels with channel state information

TL;DR: It is shown that variable-rate coding is not needed to achieve capacity and, even when the CSIT is not perfect, the capacity achieving power allocation is of the waferfilling type.
References
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Book

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TL;DR: The author examines the role of entropy, inequality, and randomness in the design of codes and the construction of codes in the rapidly changing environment.
Book

Information Theory and Reliable Communication

TL;DR: This chapter discusses Coding for Discrete Sources, Techniques for Coding and Decoding, and Source Coding with a Fidelity Criterion.
Journal ArticleDOI

Information theoretic considerations for cellular mobile radio

TL;DR: Some information-theoretic considerations used to determine upper bounds on the information rates that can be reliably transmitted over a two-ray propagation path mobile radio channel model, operating in a time division multiplex access (TDMA) regime, under given decoding delay constraints are presented.
Journal ArticleDOI

Shannon-theoretic approach to a Gaussian cellular multiple-access channel

TL;DR: Shannon-theoretic limits for a very simple cellular multiple-access system, and a scheme which does not require joint decoding of all the users, and is, in many cases, close to optimal.
Journal ArticleDOI

Estimate of channel capacity in Rayleigh fading environment

TL;DR: In this article, the authors derived the channel capacity in a Rayleigh fading environment and showed that channel capacity is always lower than that in a Gaussian-noise environment and that diversity schemes can improve channel capacity.