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5. Capacity of Wireless Channels

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5. Capacity of Wireless Channels. Information Theory. So far we have only looked at specific communication schemes. Information theory provides a fundamental limit to (coded) performance. - PowerPoint PPT Presentation

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Page 1: 5. Capacity of Wireless Channels

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5: Capacity of Wireless Channels

Fundamentals of Wireless Communication, Tse&Viswanath

5. Capacity of Wireless Channels

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5: Capacity of Wireless Channels

Fundamentals of Wireless Communication, Tse&Viswanath

Information Theory• So far we have only looked at specific communication

schemes.• Information theory provides a fundamental limit to

(coded) performance.• It succinctly identifies the impact of channel resources on

performance as well as suggests new and cool ways to communicate over the wireless channel.

• It provides the basis for the modern development of wireless communication.

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5: Capacity of Wireless Channels

Fundamentals of Wireless Communication, Tse&Viswanath

Historical Perspective

• Wireless communication has been around since 1900’s.

• Ingenious but somewhat adhoc design techniques

Claude ShannonGugliemo Marconi

•Information theory says every channel has a capacity.• Many recent advances based on understanding wireless channel capacity.

New points of views arise.

1901 1948

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5: Capacity of Wireless Channels

Fundamentals of Wireless Communication, Tse&Viswanath

Multipath Fading: A Modern View

Classical view: fading channels are unreliable

Modern view: multipath fading can be exploited to increase spectral efficiency.

16dB

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5: Capacity of Wireless Channels

Fundamentals of Wireless Communication, Tse&Viswanath

Capacity of AWGN Channel

Capacity of AWGN channel

If average transmit power constraint is watts and noise psd is watts/Hz,

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5: Capacity of Wireless Channels

Fundamentals of Wireless Communication, Tse&Viswanath

Power and Bandwidth Limited Regimes

Bandwidth limited regime capacity logarithmic in power, approximately linear in bandwidth.

Power limited regime capacity linear in power, insensitive to bandwidth.

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5: Capacity of Wireless Channels

Fundamentals of Wireless Communication, Tse&Viswanath

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5: Capacity of Wireless Channels

Fundamentals of Wireless Communication, Tse&Viswanath

Frequency-selective Channel

's are time-invariant.OFDM converts it into a parallel channel:

where is the waterfilling allocation:

with chosen to meet the power constraint.Can be achieved with separate coding for each sub-carrier.

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5: Capacity of Wireless Channels

Fundamentals of Wireless Communication, Tse&Viswanath

Waterfilling in Frequency Domain

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5: Capacity of Wireless Channels

Fundamentals of Wireless Communication, Tse&Viswanath

Fading ChannelsDifferent notions of capacity, depending on scenarios:

• Slow fading channel: outage capacity

• Fast fading channel: “ergodic” capacity under infinitely deep time interleaving

• Capacity also depends on whether channel knowledge is known at the transmitter and/or receiver.

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5: Capacity of Wireless Channels

Fundamentals of Wireless Communication, Tse&Viswanath

Slow Fading Channel

h random.

There is no definite capacity.

Outage probability:

outage capacity:

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5: Capacity of Wireless Channels

Fundamentals of Wireless Communication, Tse&Viswanath

Outage for Rayleigh Channel

Pdf of log(1+|h|2SNR) Outage cap. as fraction of AWGN cap.

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5: Capacity of Wireless Channels

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Receive Diversity

Diversity plus power gain.

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5: Capacity of Wireless Channels

Fundamentals of Wireless Communication, Tse&Viswanath

Time Diversity (I)

Coding done over L coherence blocks, each of many symbols.

This is a parallel channel. If transmitter knows the channel, can do waterfilling.

Can achieve:

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5: Capacity of Wireless Channels

Fundamentals of Wireless Communication, Tse&Viswanath

Time Diversity (II) Without channel knowledge,

Rate allocation cannot be done.

Coding across sub-channels becomes now necessary.

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5: Capacity of Wireless Channels

Fundamentals of Wireless Communication, Tse&Viswanath

Fast Fading Channel Channel with L-fold time diversity:

As

Fast fading channel has a definite capacity:

Tolerable delay >> coherence time.

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5: Capacity of Wireless Channels

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Capacity with Full CSI

Suppose now transmitter has full channel knowledge.

What is the capacity of the channel?

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5: Capacity of Wireless Channels

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Fading Channel with Full CSI This is a parallel channel, with a sub-channel for each

fading state.

is the waterfilling power allocation as a function of the fading state, and is chosen to satisfy the average power constraint.

where

Can be achieved with separate coding for each fading state.

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Transmit More when Channel is Good

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Performance

At high SNR, waterfilling does not provide any gain. But transmitter knowledge allows rate adaptation and simplifies coding.

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Performance: Low SNR

Waterfilling povides a significant power gain at low SNR.

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5: Capacity of Wireless Channels

Fundamentals of Wireless Communication, Tse&Viswanath

Waterfilling vs Channel Inversion• Waterfilling and rate adaptation maximize long-term

throughput but incur significant delay.

• Channel inversion (“perfect” power control in CDMA jargon) is power-inefficient but maintains the same data rate at all channel states.

• Channel inversion achieves a delay-limited capacity.

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5: Capacity of Wireless Channels

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Summary• A slow fading channel is a source of unreliability: very

poor outage capacity. Diversity is needed.• A fast fading channel with only receiver CSI has a

capacity close to that of the AWGN channel. Delay is long compared to channel coherence time.

• A fast fading channel with full CSI can have a capacity greater than that of the AWGN channel: fading now provides more opportunities for performance boost.

• The idea of opportunistic communication is even more powerful in multiuser situations, as we will see.