The WoLF-MFGA Algorithm for Equilibrium Analyses of Multiuser Power Control in Wireless Network

<div>Total utility of the multiuser power control game for the WoLF-MFGA algorithm and the BR algorithm under different variable learning parameters, where <span class="nowrap"><svg height="15.7176pt" id="M203" style="vertical-align:-3.9435pt" version="1.1" viewbox="-0.0498162 -11.7741 47.5988 15.7176" width="47.5988pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"><g transform="matrix(.013,0,0,-0.013,0,0)"><path d="M471 401C471 442 455 448 440 448C421 448 389 439 366 424C314 390 233 331 165 242H163L187 345C193 372 197 393 197 409C197 435 189 448 174 448C146 448 80 408 23 349L40 327C64 351 97 373 107 373C115 373 118 366 111 337L29 -4L36 -12C56 -4 83 3 110 9C123 69 136 126 150 172C227 283 336 381 377 381C392 381 396 370 379 298L326 74C290 -77 273 -172 273 -197C273 -219 316 -261 346 -261L353 -246C348 -227 352 -174 374 -66L457 310C467 352 471 381 471 401Z"></path></g><g transform="matrix(.013,0,0,-0.013,6.423,0)"><path d="M442 569C442 628 407 660 362 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Wireless Communications and Mobile Computing

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Figure 2

Figure 2: The WoLF-MFGA Algorithm for Equilibrium Analyses of Multiuser Power Control in Wireless Network 