Wireless Network Design: Optimization Models and Solution ...

Recommendations

Info

List of Contributors Khaldoun Al Agha LRI, Bâtiment 490, Université Paris-Sud, 91405 Orsay cedex, France, e-mail: alagha@lri.fr Marina Aguado ETSI Bilbao, Depto. Electrónica y Comunicaciones, Al. Urquijo S/N, CP. 48013 Bilbao, Spain, e-mail: marina.aguado@ehu.es Jasone Astorga ETSI Bilbao, Depto. Electrónica y Comunicaciones, Al. Urquijo S/N, CP. 48013 Bilbao, Spain, e-mail: jasone.astorga@ehu.es Orhan Dengiz DnD Technical Solutions, Tunus Cad. 87-5, Kavaklidere Ankara 06680, Turkey, e-mail: orhan.dengiz@gmail.com Li Guo Cisco Systems, 2200 East President George Bush Highway, Richardson, Texas 75082-3550, USA, e-mail: liguo2@cisco.com K. V. S. Hari Department of ECE, Indian Institute of Science, Bangalore 560012, India, e-mail: hari@ece.iisc.ernet.in Dag Haugland Department of Informatics, University of Bergen, PB. 7800, N-5020 Bergen, Norway, e-mail: Dag.Haugland@ii.uib.no Karla Hoffman George Mason University, Systems Engineering and Operations Research Department, Fairfax, Virginia 22030, USA, e-mail: khoffman@gmu.edu xv
xvi List of Contributors Hang Jin Cisco Systems, 2200 East President George Bush Highway, Richardson, Texas 75082-3550, USA, e-mail: hangjin@cisco.com Abhay Karandikar Department of Electrical Engineering, Indian Institute of Technology Bombay, Mumbai, 400076, India, e-mail: karandi@ee.iitb.ac.in Jeff Kennington Department of Engineering Management, Information, and Systems, Bobby B. Lyle School of Engineering, Southern Methodist University, Dallas, TX 75275-0123, USA, e-mail: jlk@smu.edu Abdullah Konak Department of Information Sciences and Technology, Penn State Berks, Tulpehocken Road P.O. Box 7009, Reading, PA 19610-6009, USA, e-mail: auk3@psu.edu Jason Kratz Department of Engineering Management, Information, and Systems, Bobby B. Lyle School of Engineering, Southern Methodist University, Dallas, TX 75275-0123, USA, e-mail: jkratz@smu.edu Khiem Le Research In Motion, 5000 Riverside Drive, Irving, TX 75039, USA, e-mail: khiem.le@ieee.org Steven Martin LRI, Bâtiment 490, Université Paris-Sud, 91405 Orsay cedex, France, e-mail: smartin@lri.fr Jon Matias ETSI Bilbao, Depto. Electrónica y Comunicaciones, Al. Urquijo S/N, CP. 48013 Bilbao, Spain, e-mail: jon.matias@ehu.es Syam Menon School of Management, University of Texas at Dallas, Richardson, TX 75083, USA, e-mail: syam@utdallas.edu Eli Olinick Department of Engineering Management, Information, and Systems, Bobby B. Lyle School of Engineering, Southern Methodist University, Dallas, TX 75275-0123, USA, e-mail: olinick@smu.edu Dinesh Rajan Department of Electrical Engineering, Bobby B. Lyle School of Engineering, Southern Methodist University, Dallas, TX 75275-0340, USA, e-mail: rajand@smu.edu
Page 2: International Series in Operations
Page 5 and 6: Editors Jeff Kennington Eli Olinick
Page 7 and 8: vi Preface assistance. The work of
Page 9 and 10: viii Contents 3.4.1 Experiments to
Page 11 and 12: x Contents 8.3.2 The Solution Proce
Page 13 and 14: xii Contents References . . . . . .
Page 18: List of Contributors xvii Nitin Sal
Page 22 and 23: Chapter 1 Introduction to Optimizat
Page 24 and 25: 1 Introduction to Optimization in W
Page 26 and 27: 1 Introduction to Optimization in W
Page 29 and 30: Part I Background
Page 31 and 32: 10 Dinesh Rajan The goal of this ch
Page 33 and 34: 12 Dinesh Rajan The source encoder
Page 35 and 36: 14 Dinesh Rajan ping (FH) CDMA, and
Page 37 and 38: 16 Dinesh Rajan of SNR is given in
Page 39 and 40: 18 Dinesh Rajan 2.3 Information The
Page 41 and 42: 20 Dinesh Rajan Perror ≤ e −nE
Page 43 and 44: 22 Dinesh Rajan For instance, for t
Page 45 and 46: 24 Dinesh Rajan 2.4.1 Block Codes I
Page 47 and 48: 26 Dinesh Rajan B(z) = 1 � (1 + z
Page 49 and 50: 28 Dinesh Rajan layers. Two of the
Page 51 and 52: 30 Dinesh Rajan nel can support a p
Page 53 and 54: 32 Dinesh Rajan 2.5.2 Physical laye
Page 55 and 56: 34 Dinesh Rajan matched filter for
Page 57 and 58: 36 Dinesh Rajan codes) leads to bet
Page 59 and 60: 38 Dinesh Rajan a length N Inverse
Page 61 and 62: 40 Dinesh Rajan the transmission of
Page 63 and 64: 42 Dinesh Rajan setting, a node may
Page 65 and 66:
44 Dinesh Rajan weighting of the si
Page 67 and 68:
46 Dinesh Rajan 29. Oestges, C., Cl
Page 69 and 70:
48 K. V. S. Hari terrain of operati
Page 71 and 72:
50 K. V. S. Hari fading is calculat
Page 73 and 74:
52 K. V. S. Hari terms have been pr
Page 75 and 76:
54 K. V. S. Hari Fig. 3.1 Normalize
Page 77 and 78:
56 K. V. S. Hari Table 3.3 Impulse
Page 79 and 80:
58 K. V. S. Hari where m antennas a
Page 81 and 82:
60 K. V. S. Hari 3.5.2.4 Dominant R
Page 83 and 84:
62 K. V. S. Hari March, 1984-13 Sep
Page 85 and 86:
64 K. V. S. Hari 47. Van Rees, J.:
Page 87 and 88:
66 J. Cole Smith and Sibel B. Sonuc
Page 89 and 90:
Page 91 and 92:
Page 93 and 94:
Page 95 and 96:
Page 97 and 98:
Page 99 and 100:
Page 101 and 102:
Page 103 and 104:
Page 105 and 106:
Page 107 and 108:
Page 109 and 110:
Page 111 and 112:
Page 113 and 114:
Page 115 and 116:
Page 117 and 118:
Page 120:
Part II Optimization Problems for N
Page 123 and 124:
102 Eli Olinick carrying capacity.
Page 125 and 126:
104 Eli Olinick 93 85 160 16 38 21
Page 127 and 128:
106 Eli Olinick Amaldi et al. [7] p
Page 129 and 130:
108 Eli Olinick levels (possibly le
Page 131 and 132:
110 Eli Olinick gmℓ ∑ ∑ m∈M
Page 133 and 134:
112 Eli Olinick Using bk to denote
Page 135 and 136:
114 Eli Olinick 5.3.5 Additional De
Page 137 and 138:
116 Eli Olinick capacity, provide n
Page 139 and 140:
118 Eli Olinick ficult optimization
Page 141 and 142:
120 Eli Olinick and-bound so that t
Page 143 and 144:
122 Eli Olinick solution times. Cai
Page 145 and 146:
124 Eli Olinick 27. Glover, F.: Tab
Page 148 and 149:
Chapter 6 Optimization Based WLAN M
Page 150 and 151:
6 Optimization Based WLAN Modeling
Page 152 and 153:
Page 154 and 155:
Page 156 and 157:
Page 158 and 159:
Page 160 and 161:
Page 162 and 163:
Page 164 and 165:
Page 166 and 167:
Page 168 and 169:
Chapter 7 Spectrum Auctions Karla H
Page 170 and 171:
7 Spectrum Auctions 149 full value.
Page 172 and 173:
7 Spectrum Auctions 151 also decide
Page 174 and 175:
7 Spectrum Auctions 153 disclosed t
Page 176 and 177:
7 Spectrum Auctions 155 focused on
Page 178 and 179:
7 Spectrum Auctions 157 bidders to
Page 180 and 181:
7 Spectrum Auctions 159 in the regi
Page 182 and 183:
7 Spectrum Auctions 161 we suggest
Page 184 and 185:
7 Spectrum Auctions 163 pays, since
Page 186 and 187:
7 Spectrum Auctions 165 prior round
Page 188 and 189:
7 Spectrum Auctions 167 and constra
Page 190 and 191:
7 Spectrum Auctions 169 lem has sup
Page 192 and 193:
7 Spectrum Auctions 171 bidder on a
Page 194 and 195:
7 Spectrum Auctions 173 some discus
Page 196 and 197:
7 Spectrum Auctions 175 21. Dunford
Page 198 and 199:
Chapter 8 The Design of Partially S
Page 200 and 201:
8 The Design of Partially Survivabl
Page 202 and 203:
Page 204 and 205:
Page 206 and 207:
Page 208 and 209:
Page 210 and 211:
Page 212 and 213:
Page 214 and 215:
Page 216 and 217:
Page 219 and 220:
Part III Optimization Problems in A
Page 221 and 222:
200 Khaldoun Al Agha and Steven Mar
Page 223 and 224:
Page 225 and 226:
Page 227 and 228:
Page 229 and 230:
Page 231 and 232:
Page 233 and 234:
Page 235 and 236:
Page 237 and 238:
Page 240 and 241:
Chapter 10 Compact Integer Programm
Page 242 and 243:
10 Integer Programming Models for P
Page 244 and 245:
Page 246 and 247:
Page 248 and 249:
Page 250 and 251:
Page 252 and 253:
Page 254 and 255:
Page 256 and 257:
Page 258 and 259:
Page 260 and 261:
Page 262 and 263:
Page 264 and 265:
Page 266 and 267:
Page 268 and 269:
Chapter 11 Improving Network Connec
Page 270 and 271:
11 Improving Network Connectivity i
Page 272 and 273:
Page 274 and 275:
Page 276 and 277:
Page 278 and 279:
Page 280 and 281:
Page 282 and 283:
Page 284 and 285:
Page 286 and 287:
Page 288:
Page 292 and 293:
Chapter 12 Simulation-Based Methods
Page 294 and 295:
12 Simulation-Based Methods for Net
Page 296 and 297:
Page 298 and 299:
Page 300 and 301:
Page 302 and 303:
Page 304 and 305:
Page 306 and 307:
Page 308 and 309:
Page 310 and 311:
Page 312 and 313:
Page 314:
Page 317 and 318:
296 Hang Jin and Li Guo formance in
Page 319 and 320:
298 Hang Jin and Li Guo (ISI) as lo
Page 321 and 322:
300 Hang Jin and Li Guo ARQ (HARQ)
Page 323 and 324:
302 Hang Jin and Li Guo 13.3 Radio
Page 325 and 326:
304 Hang Jin and Li Guo Table 13.2
Page 327 and 328:
306 Hang Jin and Li Guo is transmit
Page 329 and 330:
308 Hang Jin and Li Guo uplink powe
Page 331 and 332:
310 Hang Jin and Li Guo The link ad
Page 333 and 334:
312 Hang Jin and Li Guo where ρ mi
Page 335 and 336:
314 Hang Jin and Li Guo 13.4.4.3 Ex
Page 337 and 338:
316 Hang Jin and Li Guo Fig. 13.9 P
Page 339 and 340:
318 Hang Jin and Li Guo 1. Guarante
Page 342 and 343:
Chapter 14 Cross Layer Scheduling i
Page 344 and 345:
14 Cross Layer Scheduling in Wirele
Page 346 and 347:
Page 348 and 349:
Page 350 and 351:
Page 352 and 353:
Page 354 and 355:
Page 356 and 357:
Page 358 and 359:
Page 360 and 361:
Page 362 and 363:
Page 364 and 365:
Page 366 and 367:
Page 368 and 369:
Page 370 and 371:
Page 372 and 373:
Page 374 and 375:
Chapter 15 Major Trends in Cellular
Page 376 and 377:
15 Major Trends in Cellular Network
Page 378 and 379:
Page 380 and 381:
Page 382 and 383:
Page 384 and 385:
Page 386 and 387:
Page 388 and 389:
Page 390 and 391:
Page 392 and 393:
Page 394:
show all

Wireless Network Design: Optimization Models and Solution ...

You also want an ePaper? Increase the reach of your titles

Delete template?

Save as template?