Abstract: A communication device and method of allocating spectrum resources in a communication system to protect data to be transmitted are disclosed. The communication channel resource is divided temporally to form regions. Data to be transmitted is separated into data portions. Each data portion is able to be transmitted over one of the regions. The data portions are prioritized based on the importance of the data portion. The regions are ranked based on the transmission reliability thereon. The prioritized data portions are mapped to the ranked regions such that more important data portions are mapped to more reliable regions and less important data portions are mapped to less reliable regions. The prioritized data is output temporally in order of importance to enable the mapping of the prioritized data.

Abstract: A method, wireless controller, and information processing system are provided to dynamically allocate spectrum sensing resources. A first input (804) including available sensing session time for performing spectrum sensing with respect to one or more primary systems (102) is received. A second input (806) including a set of communication channels to be monitored in the spectrum sensing session is received. A third input (808) including detection constraints associated with a plurality of available sensing nodes (114) in a secondary network (104) for performing the spectrum sensing is received. Spectrum sensing resources are dynamically allocated (814) among a set of the plurality of available sensing nodes (114) based on the first (804), second (806), and third inputs (808).

Abstract: A communication device and method of allocating spectrum resources in a communication system to protect data to be transmitted are disclosed. The communication channel resource is divided temporally to form regions. Data to be transmitted is separated into data portions. Each data portion is able to be transmitted over one of the regions. The data portions are prioritized based on the importance of the data portion. The regions are ranked based on the transmission reliability thereon. The prioritized data portions are mapped to the ranked regions such that more important data portions are mapped to more reliable regions and less important data portions are mapped to less reliable regions. The prioritized data is output temporally in order of importance to enable the mapping of the prioritized data.

Abstract: A method, wireless controller, and information processing system are provided to dynamically allocate spectrum sensing resources. A first input (804) including available sensing session time for performing spectrum sensing with respect to one or more primary systems (102) is received. A second input (806) including a set of communication channels to be monitored in the spectrum sensing session is received. A third input (808) including detection constraints associated with a plurality of available sensing nodes (114) in a secondary network (104) for performing the spectrum sensing is received. Spectrum sensing resources are dynamically allocated (814) among a set of the plurality of available sensing nodes (114) based on the first (804), second (806), and third inputs (808).

Abstract: A method for estimating the location of a blindfolded node (235) in a wireless network having reference nodes (225, 230) is provided. The reference nodes (225, 230) are combined into pairs (301) and each pair is checked to determine if the reference nodes are within each other's communication rage (304). A plurality of probable regions (315) for the blindfolded node are obtained (313, 315). These probable regions are overlapped (320), and the blindfolded node's estimated location is estimated to be the geometric center of the overlapped regions (325).

Abstract: A location technique is utilized where channel-model parameters are originally estimated prior to location taking place. Location then takes place using a first set of known-located nodes, and the channel-model parameters are updated based on the distances resulting from the location estimate. Once the channel-model parameters have been updated, location again takes place using a second set of known-located nodes, node distances are calculated based on the produced locations and the channel-model parameters are again updated. This process continues until no significant change is observed between the previous and the newly estimated location, or until a maximum number of iterations is reached.

Abstract: A method and system is provided for determining a location for each of a plurality of units, which are sub-divided into more than one sub-net groupings, that each include two or more units. Within each sub-net grouping, measured range information between units within the sub-nets and one or more reference units is gathered in at least a selected one of the units. The selected one of the units then estimates a location for each of the units, which minimizes any error in the measured ranges between the units in each of the corresponding sub-nets.

Abstract: A method and system is provided for determining a location for each of a plurality of units, which is selected from one of multiple sets of locations, which are each estimated based upon different initial location estimates. The selected set of locations includes the set which has the minimum error value, where the error value is based on the aggregate of the differences between the range determined from the estimated locations and the measured range. By using different sets of initial location estimates, there is a greater chance that at least one of the sets of initial location estimates will avoid any local minimums and produce a more accurate estimate of unit locations.

Abstract: A method and location determination module is provided for determining a location of one of a plurality of units using neighbor lists. Each unit is communicatively coupled to at least some of the other plurality of units, where at least some of the plurality of units are reference units, whose locations are known. The units communicate with other nearby units within communication range, to establish neighbor lists. A unit to be located then identifies an aggregate value corresponding to the number of occurrences of the reference units in the neighbor list of the unit to be located and the neighbor lists of each of a group of associated units. The location of the unit to be located is then determined, based upon the known locations of the reference units and the number of identified occurrences of the reference units in the corresponding neighbor lists.

Abstract: A method and apparatus for locating a remote unit (or node) is provided herein. During operation, location-finding equipment (106) will determine a gross location of non-located nodes (104) by determining distances of the nodes (104) to reference nodes (105). Additionally an error estimate in the location for each node is determined. A first subset of nodes having relatively lower error estimates are “promoted” to reference nodes, and a second subset of nodes having higher error estimates are again located based on a distance to the newly-promoted reference nodes.