15
Coding for the Cognitive Radio User Niloofar Hashemzad forouzan

Adirty paper coding for cognitive radio

Embed Size (px)

Citation preview

Page 1: Adirty paper coding for cognitive radio

Co

din

g fo

r the C

ogn

itive

Ra

dio

User

Nilo

ofa

r Hash

emza

dfo

rou

zan

Page 2: Adirty paper coding for cognitive radio

Coding for the cognitive radio user

• Introduction

• A DPC(Dirty Paper Coding) scheme for the

cognitive user :

o Encoding : channel coding

source coding

o Decoding

• Reference

Page 3: Adirty paper coding for cognitive radio

Most of the frequency spectrum has

already been licensed by government

agencies , such as Federal

Communication Commission(FCC).

Wireless devices have begun

proliferating turning the available

spectrum expensive and rare.

Not every channel in every band is

always in use .According to the FCC

: in some locations or at some times

of day ,70% of the allocated

spectrum is idle.

How to use this dynamically

available spectrum?

The solution may lie in cognitive

radios ,equipped with sensing

devices that detect “quiet

frequency bands” to transmit and

receive data.

Introduction

Page 4: Adirty paper coding for cognitive radio

• A Cognitive Radio is a fully reconfigurable device which can

observe and change or adapt its communication parameters for

enabling secondary usage of the spectrum and yield an

efficient usage of the spectrum.

• The key motivation behind this technology is to increase

spectral utilization and to optimize the use of radio resources.

Page 5: Adirty paper coding for cognitive radio

• The cognitive radio was first proposed by Joseph Mitola in a

seminar at KTH(the Royal Institute of Technology) in 1998.

Depending on transmission

and reception parameters ,

there are two main types of

cognitive radio:

Full

Cognitive

Radio(Mitol

a Radio)

Spectrum

–Sensing

Cognitive

Radio.

Page 6: Adirty paper coding for cognitive radio

Characteristics of Cognitive Radio

Cognitive Capability:

• Identify the unused

spectrum at a specific time

or location (Spectrum

Holes/ White Spaces)

Reconfigurability:

• Transmit and Receive on a

variety of frequencies. Use

different access

technologies.

Cognitive Radio have two main characteristics:

Page 7: Adirty paper coding for cognitive radio

Emerging Issues-Spectrum

Management

Determine which portions of the

spectrum are available : Spectrum

Sensing.

Select the best available channel :

Spectrum Decision.

Coordinate access to this channel with

other users : Spectrum Sharing.

Vacate the channel when a licensed user

is detected :Spectrum Mobility

Page 8: Adirty paper coding for cognitive radio

Advantages of CRN

• Unused spectrum are determined and made use of them

automatically.

• Improves the spectrum utilization by neglecting the over

occupied spectrum channels and filling the unused spectrum

channels.

• Automatically improves and accomplishes its progress and

minimize interference

Page 9: Adirty paper coding for cognitive radio

The simplest form of the cognitive radio channel (CRC)

consisting of one primary and one secondary/cognitive user

•Each user wishes to communicate some infor- mation to its

respective base-station.

•since the two users share the same frequency band, the signal

transmitted by a user interferes with the transmission of the other

•consider the extreme situation where the introduction of the

cognitive radio should have no effect whatsoever on the primary

user’s operation and performance, i.e. the primary system should be

oblivious to the presence of the cognitive user.

Page 10: Adirty paper coding for cognitive radio

A DPC SCHEME FOR THE

COGNITIVE USER

• DPC (Dirty Paper Coding)is a source-channel coding

• A DPC scheme based on turbo codes

• Uses trellis coded quantization (TCQ) for source coding and

an irregular repeat accumulate (IRA) code for channel coding

Page 11: Adirty paper coding for cognitive radio

Encoding

• Channel coding:

• The message sequence is first

encoded using a rate -Rpre

LDPC(low-density parity-check)

precode .

• The precoded information is then

encoded with a rate -RI IRA code

• The degree distribution of the

precoded information node is

denoted by:

λ(x) = Σ Did=2 λ d x

d-1

Di :maximum information node degree ,

λd is the fraction of edges connected to

degree “d” information nodes

Page 12: Adirty paper coding for cognitive radio

• The two types of parity bits follow different degree distributions

ρi

(x) = Σ Di,pd=1 pd(i))

xd−1 , d=1

i = 1, 2, where Di,p

is the maximum degree for parity nodes of type-i and ρd(i)

is

the fraction of type-i edges connected to parity nodes of degree d.

Page 13: Adirty paper coding for cognitive radio

Source coding

The channel coded bits b1[n] and

b2[n]

• V = αS + D, where α is Costa’s

MSE scaling factor S is the side-

information sequence, and D is the

random dither shared by the

encoder and the decoder.

• shifted TCQ symbol at time n is given

by

• U[n] = (b3 + 2b4) + Cb1,b2 + 4K[n] Δ,

• Δ is the step size of the TCQ codebook

Page 14: Adirty paper coding for cognitive radio

Decoding

• The received sequence is first scaled by α followed by dither

removal to obtain Y ′ = αY + D.

• The decoding is done by iterative message passing between the BCJR algorithm and the BP algorithm

Page 15: Adirty paper coding for cognitive radio

Reference

• A Dirty-paper Coding Scheme for the Cognitive Radio

Channel Momin Uppal‡, Guosen Yue†, Yan Xin†, Xiaodong

Wang∗, and Zixiang Xiong‡ ‡Department of Electrical and

Computer Engineering, Texas A&M University, College

Station, TX 77843 †NEC Laboratories America Inc, Princeton,

NJ 08540 ∗Department of Electrical Engineering, Columbia

University, New York, NY 10027 Emails: [email protected],

{yueg,yanxin @nec-labs.com, [email protected],

[email protected], 978-1-4244-6404-3/10/$26.00 ©2010 IEEE

.