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Maximum throughput scheduling

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133:(DCA), on a packet-by-packet or slot-by-slot basis, a user that is situated in the overlap between the coverage areas of several base stations would cause, or would be affected by, interference to/from nearby cells. The DCA algorithm would prevent the nearby cells from using the same frequency channel simultaneously. The cost function would correspond to the number of blocked nearby base station sites. 117:, the power control will cause high interference level to signals from other users. This will prevent other more efficient data flows, since there is a maximum allowed interference level in the cell, and reduce the throughput. Consequently, for maximum throughput scheduling, data flows that suffer from high 141:
If there are large differences between the "cost" of each data flow, which is the case especially in wireless networking, resources may be assigned to only one or very few data flows per physical channel in the network. If there are many simultaneously active data flows, a majority of the data flows
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queuing to take advantage of favourable channel conditions to make best use of available radio conditions. Maximum throughput scheduling may be tempting in this context, especially in simulations where throughput of various schemes are compared. However, maximum throughput scheduling is normally not
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algorithms, a maximum throughput scheduling algorithm relies on the calculation of a cost function, which in wireless networks may require fast and truthful measurement of the path loss.
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in a wireless network. This is achieved by giving scheduling priority to the least "expensive" data flows in terms of consumed network resources per transferred amount of information.
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A maximum throughput scheduling policy may be tempting since it would optimize the resource utilization in a given network, but it would not be likely to maximize
90:. For maximum throughput scheduling, links that are affected by low attenuation should be considered as inexpensive, and should be given scheduling priority. 247: 142:
will have to wait until the most inexpensive flows have no more data to transfer, and will suffer from scheduling starvation.
232: 252: 49: 53: 234:”Evaluation of Packet-by-Packet Downlink Radio Resource Management Schemes”, VTC’01, 6-9 May 2001, Rhodes, Greece. 102: 106: 222: 130: 42: 210: 86:(CNR), which depends on the attenuation on the link between the transmitter and receiver, i.e. the 185: 83: 227: 193: 150: 57:
desirable, and channel-dependent scheduling should be used with care, as we will see below.
173:, meaning that the service quality that each data flow achieves would be even more stable. 8: 189: 160: 30: 146: 205: 170: 166: 71: 34: 228:
Optimal techniques for maximum throughput scheduling in packet switching networks
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Procedure for scheduling data packets in a packet switched best-effort network
241: 110: 181: 177: 78:, and without co-channel interference from nearby wireless networks, the 23: 38: 52:
3.5G cellular system, channel-dependent scheduling is used instead of
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would result in lower throughput, but starvation would be avoided.
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should be considered as the most expensive, also in this case.
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also require measurement or calculation of the cost function.
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Maiximum throughput scheduling in packet switching networks
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would result in even lower throughput, but higher level of
124: 48:In advanced packet radio systems, for example the 113:for all users. For a user that suffers from high 239: 157:experiencing long or permanent service outages. 137:Comparison with other resource sharing policies 61:Cost function in wireless packet radio systems 93: 65: 149:for the network operator. The levels of 240: 125:Example 3: Dynamic channel allocation 13: 14: 264: 216: 37:, in view to maximize the total 129:In wireless network with fast 109:(CIR) is held constant by the 22:is a procedure for scheduling 1: 248:Network scheduling algorithms 153:would remain low due to many 107:carrier-to-interference ratio 20:Maximum throughput scheduling 7: 199: 10: 269: 131:dynamic channel allocation 94:Example 2: Spread spectrum 66:Example 1: Link adaptation 43:system spectral efficiency 253:Radio resource management 211:Radio resource management 180:scheduling based on the 82:depends heavily on the 41:of the network, or the 84:carrier to noise ratio 194:weighted fair queuing 190:Proportional fairness 161:Proportional fairness 151:customer satisfaction 98:In the uplink of a 31:best-effort network 260: 206:Fairness measure 167:Max-min fairness 72:wireless network 35:wireless network 268: 267: 263: 262: 261: 259: 258: 257: 238: 237: 219: 202: 139: 127: 103:cellular system 100:spread spectrum 96: 76:link adaptation 68: 63: 28:packet-switched 17: 12: 11: 5: 266: 256: 255: 250: 236: 235: 230: 225: 218: 217:External links 215: 214: 213: 208: 201: 198: 138: 135: 126: 123: 95: 92: 67: 64: 62: 59: 33:, typically a 15: 9: 6: 4: 3: 2: 265: 254: 251: 249: 246: 245: 243: 233: 231: 229: 226: 224: 221: 220: 212: 209: 207: 204: 203: 197: 195: 191: 187: 183: 179: 174: 172: 168: 164: 162: 158: 156: 152: 148: 143: 134: 132: 122: 120: 116: 112: 111:power control 108: 104: 101: 91: 89: 85: 81: 77: 73: 58: 55: 51: 46: 44: 40: 36: 32: 29: 25: 21: 182:fair queuing 178:max-min fair 175: 165: 159: 144: 140: 128: 97: 69: 47: 24:data packets 19: 18: 186:round robin 242:Categories 39:throughput 192:based on 155:customers 119:path loss 115:path loss 88:path loss 200:See also 171:fairness 80:bit rate 176:Unlike 147:profit 105:, the 74:with 70:In a 50:HSDPA 26:in a 54:FIFO 184:or 244::

Index

data packets
packet-switched
best-effort network
wireless network
throughput
system spectral efficiency
HSDPA
FIFO
wireless network
link adaptation
bit rate
carrier to noise ratio
path loss
spread spectrum
cellular system
carrier-to-interference ratio
power control
path loss
path loss
dynamic channel allocation
profit
customer satisfaction
customers
Proportional fairness
Max-min fairness
fairness
max-min fair
fair queuing
round robin
Proportional fairness

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