TechAndComputer (Nov. 13, 2012) Two professors at the University of California, Riverside Bourns College of Engineering have developed a new method that doubles the efficiency of wireless networks and could have a large impact on the mobile Internet and wireless industries.
Efficiency of wireless networks is key because there is a limited amount of spectrum to transmit voice, text and Internet services, such as streaming video and music. And when spectrum does become available it can fetch billions of dollars at auction.
The "spectrum crunch" is quickly being accelerated as customers convert from traditional cell phones to smartphones and tablets. For example, tablets generate 121 times more traffic than a traditional cell phone.
Without making networks more efficient, customers are likely to drop more calls, pay more money for service, endure slower data speed and not see an unlimited data plan again.
The UC Riverside findings were outlined in a paper titled "A method for broadband full-duplex MIMO radio" recently published online in the journal IEEE Signal Processing Letters. It was co-authored by Yingbo Hua and Ping Liang, who are both electrical engineering professors, and three of their graduate students: Yiming Ma, Ali Cagatay Cirik and Qian Gao.
Current radios for wireless communications are half-duplex, meaning signals are transmitted and received in two separate channels. Full duplex radios, which transmit signals at the same time in the same frequency band, can double the efficiency of the spectrum.
However, to make a full duplex radio, one must solve a problem: interference between the transmission and receiving functions. The technology of full duplex radio is not yet ready for the current 3G and 4G networks.
The interference caused by signals from cell towers could be billions times more powerful than the ones towers are trying to pick up from a user's smartphone. As a result, incoming signals would get drowned out.
The UC Riverside researchers have found a new solution called "time-domain transmit beamforming," which digitally creates a time-domain cancellation signal, couples it to the radio frequency frontend to allow the radio to hear much weaker incoming signals while transmitting strong outgoing signals at the same frequency and same time.
This new solution is indispensable for a full-duplex radio in general while it is complementary to other required solutions or components. The new solution not only has a sound theoretical proof, but also leads to a lower cost, faster and more accurate channel estimation for robust and effective cancellation.
"We believe the future applications of full duplex radios are huge, ranging from cell towers, backhaul networks and wireless regional area networks to billions handheld devices for data intensive application such as FaceTime," said Liang, who added that the researchers have had discussions with several major wireless telecommunication equipment companies.
Liang and Hua believe their research has commercial potential in part because most of the core components required are digital and therefore costly new components won't need to be added to existing infrastructure.
Liang and Hua also believe cell towers are one of the most likely places to start implementing full-duplex radios, in large part because they are less constrained by existing standards.
Liang and Hua also see applications in cognitive radio, a type of wireless communication in which a transceiver can detect which communication channels are in use and which are not, and move into vacant channels while avoiding occupied ones. While cellular frequency bands are overloaded, other bands, such as military, amateur radio and TV, are often underutilized.
The above story is reprinted from materials provided by University of California - Riverside. The original article was written by Sean Nealon.
Note: Materials may be edited for content and length. For further information, please contact the source cited above.
- Yingbo Hua, Ping Liang, Yiming Ma, Ali Cagatay Cirik, Qian Gao. A Method for Broadband Full-Duplex MIMO Radio. IEEE Signal Processing Letters, 2012; 19 (12): 793 DOI: 10.1109/LSP.2012.2221710
Note: If no author is given, the source is cited instead.
Disclaimer: Views expressed in this article do not necessarily reflect those of TechAndComputer or its staff.