Wireless NetworkingElsevier, 2008. gada 9. maijs - 448 lappuses Over the past decade, the world has witnessed an explosion in the development and deployment of new wireless network technologies. From cellular mobile telephony to the ubiquitous “WiFi networks in coffee-shops and airports, to the emerging WiMAX wireless broadband access networks, the menu of wireless access systems has become so comprehensive that wireline access to user devices may soon become a relic of the past. Wireless Networking serves as a one-stop view of cellular, WiFi, and WiMAX networks, as well as the emerging wireless ad hoc and sensor networks. Rather than provide descriptive accounts of these technologies and standards, the book emphasizes conceptual perspectives on the modeling, analysis, design and optimization of such networks. Furthermore, the authors present wireless networking within the unifying framework of resource allocation, using simple abstractions of the underlying physical wireless communication. In short, Wireless Networking is an in-depth, exhaustive, and invaluable asset to anyone working in this rapidly evolving field.
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No grāmatas satura
1.–5. rezultāts no 47.
1. lappuse
... location. Examples of traffic sinks are telephony loudspeakers, television monitors, or computer storage devices. As shown in Figure 1.1, the sources and sinks of information and the distributed applications connect to the communication ...
... location. Examples of traffic sinks are telephony loudspeakers, television monitors, or computer storage devices. As shown in Figure 1.1, the sources and sinks of information and the distributed applications connect to the communication ...
6. lappuse
... locations of the users, and the consequent channel conditions between the users and the base stations, and need to be dynamically controlled as users move about and channel conditions change. Hence tight control of transmitter power ...
... locations of the users, and the consequent channel conditions between the users and the base stations, and need to be dynamically controlled as users move about and channel conditions change. Hence tight control of transmitter power ...
10. lappuse
... locations of the network nodes is changing. However, one would typically not expect to associate and reassociate a mobile device, form a new topology, or recalculate routing at the packet timescale. If mobility is low, for example in ...
... locations of the network nodes is changing. However, one would typically not expect to associate and reassociate a mobile device, form a new topology, or recalculate routing at the packet timescale. If mobility is low, for example in ...
11. lappuse
... Location determination. In an ad hoc wireless sensor network the nodes make measurements on their environment, and then these measurements are used to carry out some global computation. Often, in this process it becomes necessary to ...
... Location determination. In an ad hoc wireless sensor network the nodes make measurements on their environment, and then these measurements are used to carry out some global computation. Often, in this process it becomes necessary to ...
12. lappuse
... location. • Distributed computation. This issue is specific to wireless sensor networks. It may be necessary to compute some function of the values measured by sensors (e.g., the maximum or the average). Such a computation may involve ...
... location. • Distributed computation. This issue is specific to wireless sensor networks. It may be necessary to compute some function of the values measured by sensors (e.g., the maximum or the average). Such a computation may involve ...
Saturs
1 | |
15 | |
53 | |
81 | |
Chapter 5 Cellular CDMA | 125 |
Chapter 6 Cellular OFDMATDMA | 161 |
Chapter 7 Random Access and Wireless LANs | 187 |
Optimal Routing and Scheduling | 243 |
Fundamental Limits | 291 |
Chapter 10 Ad Hoc Wireless Sensor Networks WSNs | 337 |
Appendices | 375 |
Bibliography | 407 |
Index | 417 |
Citi izdevumi - Skatīt visu
Bieži izmantoti vārdi un frāzes
access networks algorithm Aloha analysis arrival rate assume average backoff bandwidth bit rate blocking probability capacity carrier CDMA cellular networks channel gain Chapter collision computation connected consider coverage CTMC decode defined delay denote discussion distributed downlink edge example fading feasible flow frame function Gaussian given graph handover hence IEEE inequality interference Internet locations log2 matrix maximum mean mesh networks mobile modulation neighbors number of nodes obtain OFDM OFDMA optimal packet loss path loss path loss exponent Poisson Poisson process power allocation power constraint power control problem protocol queue random variables Rayleigh fading receiver routing scheduling Section sensor network sequence server signal SINR slot slotted Aloha spatial reuse spectrum symbol Theorem throughput traffic transmission transmit uplink users vector voice WiMAX wireless mesh networks wireless networks WLAN
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