Alcatel Lucent

Kanthi Nagaraj

Supratim Deb

Vikram Srinivasan

Piyush Gupta

Rajeev R Rastogi

Scott Satkin

Naidu Kundrapu Venkata Marayya

System and method for seamless switching between operator networks is disclosed. The present invention relates to communication networks and, more particularly, to switching between operators in communication networks. A network element termed as the service aggregator is provided that resides in the operator's network and acts as an intermediate between the mobile user and the operator. In addition, a switching module is provided on the mobile device of the user that interacts with the service aggregator to perform switching. Base station continuously broadcasts signaling information to the mobile device. Based on such signaling information received, the mobile device decides if it wishes to switch to another operator's network. The service aggregator establishes connection with the service gateway of the new network. Further, service aggregator sends handover signal and the mobile device switches seamlessly to the new operator's network.

System and method for seamless switching between operator networks

The present invention relates to a system and method for proportional-fair resource allocation for multi-rate random access. The method includes receiving, by a device, data packets to be transmitted to an access point on a shared uplink channel, and determining, by the device, whether or not to contend for access to the shared uplink channel based on a probability of access. The probability of access is based on a data transmission rate between the device and the access point.

System and method for proportional resource allocation for multi-rate random access

Improved techniques are disclosed for processing data stream queries wherein a data stream is obtained, a set of aggregate queries to be executed on the data stream is obtained, and a query plan for executing the set of aggregate queries on the data stream is generated. In a first method, the generated query plan includes generating at least one intermediate aggregate query, wherein the intermediate aggregate query combines a subset of aggregate queries from the set of aggregate queries so as to pre-aggregate data from the data stream prior to execution of the subset of aggregate queries such that the generated query plan is optimized for computational expense based on a given cost model. In a second method, the generated query plan includes identifying similar filters in two or more aggregate queries of the set of aggregate queries and combining the similar filters into a single filter such that the single filter is usable to pre-filter data input to the two or more aggregate queries.

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Karnataka, India

Kanthi Nagaraj