Cellular wireless technology moved from the 3rd generation (3G) to the 4thgeneration (4G) with the release of the LTE standards. One of the fundamental changes brought by this technology was the use of Orthogonal Frequency Division Multiplexing, or OFDM. In recent years, OFDM has been widely adopted for broadband wired and wireless communications (vDSL, WiFi, PLC, etc.) because of a number of advantages that it offers: Orthogonality of subcarrier signals using the ingenious trick of inverse FFT (first proposed by Weinstein, Ebert and others 1) allows for both easy generation and easy reception of signals. It does so by using FFT hardware accelerators as well as the conversion of the complex adaptive time-domain equalizer to a relatively simpler frequency domain equalizer.
When thinking of 5th generation wireless networks, most people think in terms of more bandwidth. However, this is only part of the story. The key technical advancements will come from two emerging concepts: cooperative networking and coexistence.2
Cooperative networking requires network elements (eNodeBs, Ues, or both) to coordinate closely together, on a frame-by-frame basis and to transmit/receive data on shared resources. This will dramatically improve coverage and quality, especially in difficult scenarios (cell-edge, etc.), which are currently underserved by modern networks. In a large number of cases, this coordination may involve small-cells.
Coexistence requires the 5G cellular network to share spectrum with other radio access technologies (4G, WLAN, etc.) in a common geographic area. Multiple radio access technologies (RATs) using common spectrum operate in coordination with each other, i.e. WiFi offload and IFOM. Given this, interference management between RATs will become a key concern when it comes to 5G.
It has been established that there are severe practical deployment and performance issues with OFDM (notwithstanding all the positives mentioned above), which limit its usability in the use-cases which are deemed important for 5th generation cellular networks. Over the last few years, OFDM deployments have been slowly gathering steam, both in WiFi and in LTE networks. Gradually, a corpus of data is building up real-life performance in the field, which has provided designers with further insight into the strengths and drawbacks of the technology.
OFDM is based on orthogonality of sub-carriers; this requires strict control of the synthesizer. From the perspective of a single transmitter, this is easy to achieve. However, as discussed above, 5G networks will require tight inter-coordination between multiple network elements and tight sharing of spectrum.
In certain applications where a subset of subcarriers is allocated to each user, such as cognitive radios and multiuser multicarrier systems, OFDM isn’t quite an optimal solution. OFDMA can only operate if strict time and frequency synchronization between users and a base station is achieved. Distributed transmission techniques, such as CoMP, impose an even more stringent requirement of synchronous base stations on top of everything else. As of now, synchronizing cooperative networks is expensive, and in some cases even impossible. The problem only becomes tremendously more challenging when considering low-cost micro and femto base station deployments or even lower-cost sensor devices, which may transmit without synchronizing to the network’s clock.3
Another critical issue in CoMP-OFDM systems is their sensitivity to multiple carrier frequency offsets (CFOs) between terminals and base stations. The frequency offset can be caused by either doppler shift as a result of terminals’ mobility or by oscillator frequency mismatch between a transmitter and a receiver. Multiple CFOs in CoMP-OFDM systems destroy the orthogonality between OFDM subcarriers and causes intercarrier interference (ICI) at the receiver, which leads to significant degradation in system performance. There is also a need to address the spectral efficiency aspect, as future 5G networks will have to use scarce and fragmented spectral resources. It poses extreme challenges when it comes to achieving blocking requirements and satisfying regulatory out-of-band spectrum constraints which cannot be achieved by the spectrum shape of OFDM (OFDM waveforms inherently have large side-lobes because of the rectangular shaping of the temporal signal).
There is a need for a filtered, multicarrier approach with reduced side-lobe levels of the waveform which could minimize inter-carrier interference (ICI).
FBMC (filter bank multi-carrier) generalizes traditional orthogonal frequency-division multiplexing (OFDM) schemes, allowing a nonrectangular sub-channel pulse shape in the time domain. This approach leads to a better spectral containment that improves interference mitigation in several time-variant environments. The key idea behind this technique is to perform a nonrectangular pulse-shaping as compliant as possible with the channel characteristics (time and frequency dispersion). From a transmission perspective, the FBMC technique has the potential to increase bit rate, due to the reduced guard bands and the absence of the cyclic prefix needed in OFDM. FBMC also allows the possibility to allocate different subcarriers to different unsynchronized users in a spectrally efficient manner. The out-of-band emission of FBMC is much lower than OFDM.4
FBMC only becomes efficient with offset QAM (OQAM), where the real part of QAM symbols are mapped to one half of the multi-carrier symbols and the imaginary parts are mapped to an interlaced half of the multi-carrier symbols. While this works well with single-cell, single user transmission, in the JR case, we obtain additional interference paths between the interlaced OQAM symbols. Furthermore, certain types of MIMO transmission are not supported by FBMC/OQAM.
A paramount feature required in future wireless communication systems, supporting the Internet of Things (IoT) and Massive Machine Communication (MMC), is to efficiently support transmission of small data packets. A physical layer enabling this target demands efficient support of short transmission bursts. Here, FBMC/OQAM with its long filter lengths by design loses efficiency. Thus an alternative modulation scheme to FBMC is needed, where a filtering operation is applied to a group of consecutive subcarriers instead of the per subcarrier filtering used in FBMC. By using the technique called universal-filtered multi-carrier (UFMC)5, the effect of side-lobe interference on the immediate adjacent sub-channels is significantly reduced. This offers better ICI robustness and better suitability for fragmented spectrum operation. The UFMC technique uses shorter filter lengths compared to OFDM’s cyclic prefix lengths, making it applicable for short burst communication. The UFMC technique can be considered as a potential candidate for future wireless systems which have to support a plethora of low-cost devices (IoT and MMC).
Comparison of Waveforms
5th generation wireless networks will not only support higher bandwidths than the current LTE networks, but 5G will also be designed from the ground-up for more complex use-cases involving cooperative networking, coexistence, and future support for the IoT and IoV (Internet of Vehicles). The key to a successful design is the understanding of the shortfalls and limitations of the current generation of technology and adapting as necessary in new developments. Research on next generation technologies is currently going at a break-neck speed, working to enhance the 4th generation OFDM approach in order to support these diverse scenarios. The next few years promise to be exciting times for wireless technology, as we will witness the birth of radical new approaches to solving the uncovered problems.
1. Multicarrier Modulation: An idea whose time has come. Bingham, J.A.C. 1990, IEEE Communications Magazine.
2. From LTE-advanced to the future. Baker, M. 2, s.l. : IEEE, 2012, IEEE Communications Magazine, Vol. 50, pp. 116-120. MCOM.2012.6146490.
3. 5G air interface design based on Universal Filtered (UF-)OFDM. Wild, T., Schaich, F. and Yejian Chen. s.l. : IEEE, 2014. Digital Signal Processing (DSP), 2014 19th International Conference on.
4. OFDM Versus Filter Bank Multicarrier. Farhang-Boroujeny, B. 3, 2011, IEEE Signal Processing Magazine, Vol. 28, pp. 92-112.
5. Universal-filtered multi-carrier technique for wireless systems beyond LTE. Vakilian, V., et al. s.l. : IEEE, 2013. Globecom Workshops (GC Wkshps), 2013 IEEE.
Do you have an upcoming project and wantus
to help speed up your time to market?
These cookies are necessary for the website to function and cannot be switched off.
These cookies allow us to monitor traffic to our website so we can improve the performance and content of our site. They help us to know which pages are the most and least popular and see how visitors move around the site. All information these cookies collect is aggregated and therefore anonymous. If you do not allow these cookies we will not know when you have visited or how you navigated around our website.
These cookies enable the website to provide enhanced functionality and content. They may be set by the website or by third party providers whose services we have added to our pages. If you do not allow these cookies then some or all of these services may not function properly.
These cookies may be set through our site by our advertising partners. They may be used by those companies to build a profile of your interests and show you relevant adverts on other sites. They do not store directly personal information, but are based on uniquely identifying your browser and internet device. If you do not allow these cookies, you will experience less targeted advertising.