Imagination Tunes in Wi-Fi, Bluetooth
MIPS cores vie with blocks from ARM, Ceva
Jessica Lipsky, EETimes
4/13/2015 10:00 AM EDT
OAKLAND, Calif. – Imagination Technologies launched versions of its MIPS cores powering Wi-Fi/Bluetooth links, competing with ARM and Ceva in intellectual property for consumer wireless chips. The IP blocks target Internet of Things designs where some competitors are still fielding low power mobile SoCs.
Semiconductor and IP companies have traditionally focused on performance, reach, and throughput in their wireless devices while shirking power and board space, Chakra Parvathaneni, vice president of Imagination's wireless group, told EE Times. “We’re trying to bring a 2x or so better power and much more battery efficiency for sleep power. This is a new way that we believe every other chip vendor or connectivity technology vendor will be going as IoT matures.”
To read the full article, click here
Related Semiconductor IP
- Wi-Fi 7(be) RF Transceiver IP in TSMC 22nm
- Wi-Fi 802.11ax + BLE transceiver, 2.4 GHz + PA
- IEEE802.11n/ac/ax Wi-Fi LDPC Decoder and Encoder
- Wi-Fi 6 (ax)+BLEv5.4+15.4 Dual Band RF IP for High-End Applications.
- Wi-Fi 802.11 ax/Wi-Fi 6 /Bluetooth LE v5.4/15.4-2.4GHz RF Transceiver IP for IOT Application in TSMC22 ULL
Related News
- Rockchip selects Ensigma iEW200 low-power Wi-Fi
- Nordic Semiconductor expands into Wi-Fi by acquiring the entire Wi-Fi development team, core Wi-Fi expertise, and Wi-Fi IP tech assets of Imagination Technologies Group
- Imagination sells Ensigma Wi-Fi technology to Nordic Semiconductor
- GainSpan Unveils Industry First Wi-Fi and ZigBee IP Single Chip
Latest News
- ASICLAND Partners with Daegu Metropolitan City to Advance Demonstration and Commercialization of Korean AI Semiconductors
- SEALSQ and Lattice Collaborate to Deliver Unified TPM-FPGA Architecture for Post-Quantum Security
- SEMIFIVE Partners with Niobium to Develop FHE Accelerator, Driving U.S. Market Expansion
- TASKING Delivers Advanced Worst-Case Timing Coupling Analysis and Mitigation for Multicore Designs
- Efficient Computer Raises $60 Million to Advance Energy-Efficient General-Purpose Processors for AI