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IEEE Radio Communications: Components, Systems, and Networks

Series Topic


IEEE Radio Communications will focus on components, system and network topics. Articles are in-depth cutting-edge tutorials, emphasizing state of the art technologies involving physical and higher-layer issues in radio communications.

IEEE Radio Communications emphasizes practical solutions and emerging topics for researchers, design engineers and engineering managers in industry, government, and academic pursuits. Articles are written in clear, concise language and at a level accessible to those engaged in the design, development, and application of products, systems and networks.

The peer review process ensures that only the highest quality articles are accepted and published. The rigorous, triple peer review process evaluates papers for technical accuracy, and ensures that no self-serving marketing or product endorsement messages are published in the papers or editorials.

IEEE Radio Communications binds into IEEE Communications quarterly ensuring in-depth readership by our paid and unduplicated circulation of over 50,000 subscribers.



Radio Systems and Architecture

  • Systems such as WLAN, Bluetooth, WiFi, WiMax, cellular 3G and 4G systems, microwave and millimeter wave trunking and backhaul, RF identification (RFID), intelligent vehicle highway radio systems, radio navigation (GPS, Glonass, and hybrid GPS-INS systems), location finding (E911, search and rescue, general methods), handhelds
  • Radio architectures (direct conversion radios, low IF radios), open architecture standards such as the SDR Forum and Object Management Group radio standards, system security, and novel and emerging approaches to radio/wireless architectures
  • Air-interface architectural aspects such as framing, burst generation, duplexing, air interface security, multi-air-protocol switching, channel modulation, etc.
  • Radio-enabled services such as proximity badges

Radio Components

  • Processors (e.g. CMOS, GaAs, BiCMOS, SiGe and emerging System on Chip (SoC) technologies) and related software technologies (downloads, security, compact operating systems, real-time CORBA, development environments, and other radio-enabling technologies)
  • Specific components (e.g. antennas, power amplifiers, synthesizers, superconducting components, highly programmable analog parameters, etc.)
  • Radio Techniques (e.g. pre-distorion for non-linear amplifiers, polar transmitter architectures, Direct Digital Synthesis and advanced approaches)
  • Receiver techniques (DC offset compensation, I/Q gain/phase imbalance, etc)
  • Smart antennas including sectorized and emerging massively parallel apertures, MEMS signal processing, shared apertures, Space-Time Adaptive Processing (STAP) and related multi-user smart antenna technologies
  • Multiple-Input Multiple Output (MIMO) and technologies that exploit multipath and spatial diversity for increased communications capacity or Quality of Service (QoS)
  • Baseband platform (e.g. chip with dual core DSP/MCU, single chip with digital and converters, SoC hybrids of FPGAs, DSPs and ASICs; ADCs, sampling and resampling techniques, timing and frequency control subsystems, etc.)
  • Algorithms residing in baseband (filter algorithms, equalizers, error control coding and link layer protocols; protocol interactions; MIMO algorithms)

Radio Networking

  • Signal processing and coding techniques related to wireless applications (e.g. speech coding, multi-codec conversion, video coding, multimedia integration)
  • Radio resource management, especially agile use of RF spectrum and radio etiquettes
  • Internetworking of radio networks to fixed wireline system
  • Impact of radio on network topology and mobility

Emerging Topics in Radio Communications, Technology, & Services

  • Location-aware radio
  • Cognitive radios and cognitive/adaptive radio networks
  • Non-radio sensors sharing RF apertures on radio devices (temperature, accelerometers, binaural microphones, directional sound projection) and related emerging integrated applications such as language processing, spatially discriminating microphones, machine learning, and biometrics


Tom Alexander
Ixia Inc.

Amitabh Mishra
Johns Hopkins University