Spectrum Utilization

Spectrum Utilization

The wireless spectrum is limited. Wireless is like having one invisible cable in the sky that the whole world has to share. This is one of the major limitations of wireless, and we need techniques for efficiently using the spectrum that we do have. There are several steps in reusing spectrum.

The first step in spectrum reuse is to apply space divisionthat is, carve up the service area into smaller coverage areas. The key purpose of space division is to reuse frequencies across the coverage areas, or cells. The second step is to apply a multiple-access technique to allow the sharing of spectrum by multiple users. After you have delineated the space and combined multiple conversations onto one channel, you can apply spread spectrum, duplexing, and compression techniques to use the bandwidth even more efficiently. The following sections discuss these steps in more detail.

Using the Available Radio Spectrum

The first key characteristic of a radio transmission system is how it makes use of the available radio spectrum, or bandwidth. As discussed in the following sections, four major techniques are used to allocate capacity: Space Division Multiplexing, Frequency Division Multiple Access (FDMA), Time Division Multiple Access (TDMA), and spread spectrum (implemented as Code Division Multiple Access [CDMA] in 2G networks and as either W-CDMA or OFDM in 3G cellular networks).

Space Division Multiplexing

The cellular concept involves subdividing coverage areas. Mobile telephony is not a new invention. It has been around since the early 1950s, but at that time, two things limited its availability to the mass market. First, we were using very high-powered antennas. So, when we relayed a signal, it would have strength over a coverage area of perhaps 100 miles (161 km) in diameter. Second, at that time, the spectrum management agencies issued very few frequencies (perhaps one or two dozen) that could be used for purposes of mobile communications. In the relatively large coverage area of 100 miles (161 km) or so, only 12 to 24 channels were available. The majority of these few channels were reserved for critical services, such as police and other emergency services, as well as for those who could afford a body builder to carry those big phones that operated at low frequencies over long stretches.

In the 1970s, two things changed. The first was the advent of the low-power transmitter receiver tower, which reduced the coverage area to a cell size that was only about 8 miles (13 km) in diameter. Second, the regulatory agencies made available large amounts of spectrum for use in support of mobile communications, and depending on the location, anywhere from 600 to 1,000 channels were made available to service providers.

The cellular architecture depends on cells organized into a reuse pattern. In the traditional analog cellular network, the cellular reuse pattern is n = 7 and is often depicted as a honeycomb configuration of what are called seven cells (see Figure). The idea of spectrum reuse is that you can reuse frequencies as long as they are not in adjacent cells. Say that in the honeycomb configuration, 700 channels are available. Each of the cells could make use of 100 of those channels. The next honeycomb configuration could then reuse those 100 channels, as long as those channels were not adjacent to one another between cells.

3. Space division for spectrum reuse

As the density of subscribers increases, the next step is to subdivide the cells into smaller coverage areas, based on accepted reuse patterns. The traditional analog cellular network uses macrocells (see Figure). This network was for fast-moving users, traveling distances of miles on their end-to-end journey. The coverage area was about 8 miles (13 km) in diameter, and the base station power was rather greatgenerally 10 watts or more. This network offered low deployment costs and a small number of handoffs. Depending on how many channels the spectrum agency gave the region, a cell could support up to about 60 users.

4. Analog cellular reuse pattern

As the demand for use increased, we started to migrate toward a microcell architecture. Users of this architecture were assumed to be moving more slowly than those in a macrocell approach; they were, for example, people trapped in a traffic grid, people on golf carts on a golf course, people riding bicycles in a city, or pedestrians anywhere. These users traveled distances of less than 1 mile (1.5 km) end to end. Therefore, there are not as many handoffs involved with microcells as there are with macrocells.

With macrocells and high-speed vehicles, in 1980, when processing power was significantly lower than it is today, if you were moving very rapidly through cell boundaries, there would be undue strain on the processing power of the systems, and calls might be dropped. But by the time microcells started to come about, handoffs were facilitated by more rapid processing. The coverage area of a microcell is about 0.6 miles (1 km) in diameter. Compared to macrocells, this architecture offers better frequency reuse, lower power, and better battery life, as well as smaller subscriber units.

It is not always useful to define a cell with a full coverage of 360 degrees. In some cases, cells with a particular shape and coverage are needed. These cells are called selective cells. A typical example of selective cells is the cells that may be located at the entrances of tunnels, where 360-degree coverage is not needed. In this case, a selective cell with a coverage of 120 degrees is used.

The demand for spectrum is growing beyond what even the microcell design can provide, and further shrinkage of the cell size is mandated, so we are now employing the picocellthat is, the tiny cellarchitecture. This approach is for stationary or very slow-moving usersfolks who dash out of a seminar during a conference and stand by a window so they can conduct a conversation, or coffee lovers who check e-mail over lattes. These users are not traveling great distances, maybe 330 to 1,000 feet (100 to 300 m) end to end. The coverage radius of a picocell is only about 150 feet (46 m), and because it's such a small coverage area, the base station power is also very small10 milliwatts or less. Therefore, compared to the microcell design, the picocell design offers even better frequency reuse, even lower power, even smaller subscriber units, and even better, longer battery life. The picocell architecture does create some concerns in the engineering realm; for example, Tokyo needed to plan how to implement more than 40,000 cells for its Personal Handyphone System (PHS) deployment. There are tradeoffs with the various designs: You can serve greater densities with the picocell design than with other designs, but at the cost of a bigger engineering project.

The concept of umbrella cells was introduced to address the situation where a large number of handoffs occurs among many small neighboring cells. An umbrella cell covers several microcells or picocells. The power level inside an umbrella cell is increased compared to the power levels used in the microcells that form the umbrella cell. When the speed of the mobile device is too high, the mobile device is handed off to the umbrella cell. The mobile device then stays longer in the same cell (in this case, the umbrella cell), reducing the number of handoffs and the work of the network.


With FDMA, which is used in analog cellular systems, each user is assigned to a different frequency; everybody is speaking at the same time, but each conversation is on a different portion of the frequency band. FDMA is characterized as facilitating what would today be called low capacityapproximately 60 users per cell. Given the number of users today, let alone what tomorrow will bring, FDMA alone can no longer handle the volume.

The cost of FDMA handsets is low, as these are not smart devices. For example, an FDMA-based device does not know how to search for another frequency that has a better transmission quality associated with it. This approach is inexpensive for the user, but the service operator needs to have a transceiver for each channel, which means the base station cost is high. And because it's an analog technology, FDMA also consumes a great deal of power, and the cost associated with the power consumption is greater than with digital systems.

The advantage of FDMA is that it doesn't need strict clocking devices to enable synchronization between the base stations, as would, for example, TDMA. As Figure shows, everybody uses the system at the same time, but each user is working off a different frequency.


Although analog FDMA systems are no longer common, with most analog systems having been decommissioned at this point, the FDM technique is still very important because it is required to divide the allocated spectrum into individual channels to which other techniques are then applied to enable multiple users to use a channel simultaneously.


TDMA, which is used in 2G digital cellular systems, WLANs, and Personal Communications Services (PCS) systems, is actually a combination of FDM and TDM. In TDMA systems, you first divide the available or allocated frequency spectrum into a number of channels by using FDM. Then, within each channel, you apply TDM to carry multiple users, interleaved in time. Therefore, one transceiver can support multiple channels. Various cellular network standards are based on TDMA, including Global System for Mobile Communications (GSM), Universal Wireless Communications (UWC), and Personal Digital Cellular (PDC). UWC-136 TDMA technology, also referred to as ANSI-136, provides a three-to-one gain in capacity compared to analog technology. Each caller is assigned a specific time slot for transmission. GSM supports eight users per channel, resulting in an eightfold increase in capacity. (These standards are discussed in further detail in Chapter 14.)

The digital handsets associated with TDMA are more intelligent than those used with FDMA. For example, they have scanning capabilities, and if the channel you are on is encountering anomalies that are lending themselves to transmission errors, the handset can search for an available channel that provides better performance.

The key benefits of TDMA are that it offers greater capacity and spectral efficiency than FDMA. As Figure shows, in TDMA, everybody is talking on the same frequencies but at different moments in time. The users perceive their conversations as being continuous, even though each is actually getting very rapid samples of his or her conversation.


Spread Spectrum

Spread spectrum is a multiple-access technique that is receiving a great deal of attention today. In spread spectrum, everybody is using the same frequency at the same time. This is referred to as universal frequency reuse. Spread spectrum provides the ultimate in terms of the supported density of users, and it is possible because each conversation is uniquely encoded. In spread spectrum, a single spectrum of bandwidth is available for all the users. As Figure shows, in spread spectrum, although everybody is using the same frequencies at the same time, each conversation is uniquely encoded, allowing the transceiver to pick it out from among all the conversations.

7. Spread spectrum

Spread spectrum has become a critical technology. It is used in 3G cellular systems as well as WLANs, and it is the basis of the majority of emerging wireless broadband solutions. There are two major benefits to spread spectrum: greater resistance to interference (and hence greater reliability) and greatly improved capacity.

There are two generations of spread spectrum. The first generation, CDMA, operates in an allocation of 1.25MHz. The second generation of CDMA, called Wideband CDMA (W-CDMA), operates over allocations of either 5MHz, 10MHz, or 15MHz. As is implied by the name, W-CDMA can support higher data rates than can CDMA. Both generations of CDMA use a unique code for each conversation, and both use spread spectrum techniques. One advantage of W-CDMA is that it uses a bigger channel than CDMA, which means that it can carry more calls and that those calls can be encoded in longer strings. The longer strings, in turn, mean greater security and better performance.

Spread Spectrum's Military History

George Antheil and the glamorous movie star Hedy Lamarr held the original patent on CDMA technology. Hedy Lamarr had strong personal sentiments against World War II. She had recently escaped from her first husband, Fritz Mandl, who was one of Europe's largest armaments manufacturers and was selling munitions to Hitler. As his wife, Lamarr was exposed to military technology ideas.

Lamarr met George Antheil, who had been at the forefront of experimental music in the 1920s, at a party in Hollywood. Antheil was one of the first people to work with the player piano as an instrument for composed music; his famous Ballet Mecanique was written for 12 player pianos, an airplane propeller, and a symphony. Antheil also opposed the Nazis, and it was in this context that Lamarr told Antheil about her idea for a secret communications system that could guide torpedoes to their target without being intercepted by the enemy, by sending messages between transmitter and receiver over multiple radio frequencies in a random pattern. The only problem was how to ensure that the transmitter and receiver would stay in synchronization as they moved through the frequencies. Lamarr thought Antheil could help solve the synchronization problem.

Antheil did come up with a solution: Paper rolls perforated with a pseudorandom pattern would delineate the frequency path. Two rolls with the same pattern would be installed in the transmitter and receiver. If the two rolls were started at the same time, and one stayed at the launch point while the other was launched with the torpedo, the system would maintain the synchronization right on down to where the torpedo hit the ship. Interestingly, Lamarr and Antheil designed their system to use 88 frequenciesexactly the number of keys on a pianojust like the player piano rolls in Ballet Mecanique.

Today, we call this technique Frequency Hopping Spread Spectrum (FHSS), and it is one of the ways in which spread spectrum uniquely encodes its conversations.

Spread spectrum is characterized by not requiring any timing coordination, so clocking is not necessary. It offers great reliability because it is highly resistant to interference. Spread spectrum has greatly improved capacity over FDMA and TDMA; the spectral efficiency of spread spectrum, as standardized in IS-95, is 10 to 20 times greater than that of an analog cellular network. The number of users who can be serviced depends on the location of the usershow many of them are within a given cell and what signal-to-noise ratio the service provider deems acceptable. Spread spectrum allows for two compression ratios for digitized voice, and they vary according to the channel quality: 13Kbps, which is used to provide near-land-line voice qualities (e.g., in support of something like wireless local loop), and 8Kbps, which is used to maximize the use of the spectrum and extend battery life. It is important to realize that spread spectrum requires complex power control schemes, and power control is very important in spread spectrum.

Power Control Schemes in TDMA and Spread Spectrum

The classic example that instructors give their students when talking about wireless is the following: You walk into a TDMA cocktail party, and a group of people stands in a circle. Each person takes a turn at making a comment or answering a question. You can separate the conversations by the moment in time when each individual is speaking.

You walk into a spread spectrum party and you feel as though you've walked into the United Nations. There's German in the left-hand corner, Japanese in the right-hand corner, and English in the center. Somebody says a word in your language that you recognize, and you immediately focus your attention there. You're able to filter out the extraneous conversation as noise because you've tuned in on a code that's understandable to you. You can continue to filter out the extraneous conversation unless another 200 delegates walk in and add their conversations to the overall mix, making it impossible for you to distinguish between the conversations.

On spread spectrum networks, channels can be reused in adjacent cells without creating co-channel interference because different pseudorandom number (PN) codes are used in each cell site. Spread spectrum was developed by the military to be secure. The wide spreading of the signal makes if difficult to detect and jam.

As discussed in the following sections, there are three basic types of spread spectrum techniques: Frequency Hopping Spread Spectrum (FHSS), Direct Sequence Spread Spectrum (DSSS), and Orthogonal Frequency Division Multiplexing (OFDM).


With FHSS, which is the oldest of the spread spectrum techniques, the frequency hopping varies in a known pattern, and separate error correction must be included. The concept involves a system that hops between frequencies in a random pattern, known only to the transmitter and receiver (see Figure). The transmitter sends on a channel for only a short period of time and then hops to a different channel. Slow frequency hopping is used to combat fading.


Along with providing resistance to jamming, an FHSS system also addresses the problem of frequency-selective fading. Because the transmitter does not stay on any one frequency for a long period of time, fading at a particular part of the frequency spectrum is minimized. The disadvantage of FHSS is that the more hopping channels needed, the greater the bandwidth required, although a set of hopping channels can be shared by a number of users.

FHSS is used by the original Bluetooth standard (IEEE 802.15.1) for PANs, which is discussed in detail in Chapter 15.


DSSS is used in most contemporary systems, including 3G cellular networks, CDMA-based networks, and 802.11b WLANs. DSSS requires greater bandwidth than does FHSS, but that is exactly what makes its performance so good.

With DSSS, each transmitted bit is first converted into a series of narrower pulses, referred to as chips. DSSS multiplies the data bits by a very fast pseudorandom bit pattern (PN code) that spreads the data into a large coded stream that takes the full bandwidth of the channel. The chips are then transmitted through a digital modulator.

The bandwidth expansion factor refers to the number of bits in the spreading code. There are many types of spreading codes in use; for example, Barker Code is used in 802.11, Complementary Code Keying (CCK) is used in 802.11b, and 64-bit Walsh Code is used in CDMA cellular. Figure shows an example of DSSS that uses Barker Code, which is an 11-bit chipping code. The 1 bits are encoded as a particular sequence of 1s and 0s, and the 0 bits are the inverse of that sequence. In the course of a transmission, if a bit is affected by noise and several chips get knocked out, the receiver can determine from the pattern of remaining bits whether a 1 or a 0 got knocked out and recover that information accurately. This is why DSSS provides such good performance and resistance to interference and noise. DSSS also provides great reliability because the DSSS operation generates more bits per second than it starts with, and the resulting signals spread over a wide range of frequencies when it is transmitted, minimizing the impact of interference and multipath fading.

9. An example of DSSS


OFDM is the newest spread spectrum technique, and its main purpose is to resolve the problems that result from multipath distortion. OFDM has some key advantages over CDMA, which is used in many of today's 3G cellular networks. First, it is more robust, which means it provides better performance in multipath situations. It also allows for simpler receivers. Perhaps most importantly, OFDM is more amenable to MIMO technologies than are the other spread spectrum techniques. A Nortel (www.nortel.com) trial conducted in early 2005 provides a good example: Nortel was able to demonstrate peak data rates of 37Mbps over a standard 5MHz PCS mobility band. Using OFDM and MIMO, wireless subscribers could download a 128MB file in approximately 30 seconds, 4 to 10 times faster than today's 3G networks can support (see www.nortel.com/corporate/news/newsreleases/2005a/03_09_05_mimo_ofdm.html). In another Nortel trial (see http://telephonyonline.com/wireless/technology/mimo_ofdm_091905/), using OFDM and MIMO enabled a mobile user to download a 264MB file at 37Mbps while simultaneously viewing two live streaming videos, over a standard 5MHz PCS band. The download took less than 1 minute in this trial; it would take 90 minutes with today's networks.

OFDM and MIMO are critical technologies associated with most of the advanced and emerging wireless systems, including Beyond 3G (B3G) or 3.5G and 4G. Many areas of wireless solutions employ OFDM. One is mobile wireless, which includes the IEEE 802.16e, IEEE 802.20, and Flash-OFDM standards. Another is fixed wireless broadband, encompassing IEEE 802.16a/Revision D, WLANs such as IEEE 802.11a and 802.11g, and the European HiperLan2. OFDM is also used in Ultra-Wideband (UWB) PANs. DTV and HDTV using the Digital Video Broadcasting-Terrestrial (DVB-T) and Digital Audio Broadcasting (DAB) standards also rely on OFDM. Military high-frequency modems also make use of OFDM. OFDM is also used in a variety of wired broadband alternatives, including ADSL (where it is known as Discrete Multitone [DMT]), cable modems, and powerline telecommunications (PLT).

OFDM is a combination of two key principles:

  • Multicarrier transmission Multicarrier transmission is a technique that divides the available spectrum into many subcarriers, with the transmission rate reduced on each subcarrier. OFDM is similar to FDM in that multiple-user access is achieved by subdividing the available bandwidth into multiple channels that are then allocated to users. However, OFDM uses the spectrum much more efficiently than FDM by spacing the channels much more closely together. This is achieved by making all the carriers orthogonal (i.e., at right angles to or independent of) to one another, preventing interference between the closely spaced carriers. Making the carriers for each channel orthogonal to one another allows them to be spaced very closely. For a good graphic representation of OFDM, see Telephony Online's article "Building Future Networks with MIMO and OFDM" at http://telephonyonline.com/wireless/technology/mimo_ofdm_091905/.

  • Adaptive modulation An adaptive modulation system supports a variety of modulation schemes. The quality of the radio path determines which modulation technique is most appropriate. Techniques supported include 16-QAM, 64-QAM, QPSK, and DPSK.

OFDM overcomes most of the problems with both FDMA and TDMA, including nonefficient use of spectrum and the requirement for clocking or synchronization with TDMA. OFDM splits the available bandwidth into many narrowband channels (typically 100 to 8,000), referred to as subcarriers.

OFDM offers improved resistance to noise and interference at particular frequencies as well as immunity to frequency-selective fading. Information can be reconstructed without receiving the entire transmission band. OFDM is almost always used in conjunction with channel coding or an error correction technique. One approach is referred to as Coded Orthogonal Frequency Division Multiplexing (COFDM). COFDM is widely used in Europe and other places where the DAB standard has been adopted for digital radio broadcasting and for terrestrial digital TV, as in the DVB-T standard. COFDM is also used in ADSL transmission. The major benefit of COFDM is that it makes broadcasts relatively immune to multipath distortion and signal fading due to atmospheric conditions or passing aircraft. It is a complex technique, but by combining OFDM with error-correcting codes, adaptive equalization, and reconfigurable modulation, COFDM provides many beneficial properties, including resistance to multipath, phase distortion, fading, and burst noise.

OFDM also offers improved bandwidth efficiency because it can support more users on the same transmission channel by using different spreading codes. OFDM makes it easy to filter out noise: If a particular range of frequencies suffers from interference, the carriers within that range can be disabled or made to run more slowly. Another feature of OFDM is that the speeds of the upstream and downstream channels can be varied by allocating either more or fewer carriers for each purpose. Some forms of Rate-Adaptive DSL (RADSL) use this feature in real-time so that bandwidth is allocated to whichever stream needs it most.

Orthogonal Frequency Division Multiple Access (OFDMA) is a proprietary enhancement to OFDM technology, introduced by Runcom Technologies (www.runcom.com) in 2000. Whereas OFDM involves 256 subcarriers, OFDMA defines either 2,048 or 4,096 subcarriers. In current OFDM systems, only a single user can transmit on all the subcarriers at any given time, and TDMA or FDMA is used to support multiple users. OFDMA, on the other hand, allows multiple users to transmit simultaneously on the different subcarriers per OFDM symbol. The end result is improved spectral efficiency. Because OFDMA enables more efficient duplexing techniques, including FDD and TDD, the created signal is immune to interference and is therefore capable of high data throughput. In addition, OFDMA improves the power gain per channel, providing better coverage and range availability, larger cell radius, and smaller power amplifiers and antennas, ultimately leading to lower investment in capital equipment.

OFDMA, also referred to as Multiuser-OFDM, is being considered as a modulation and multiple-access method for upcoming fourth-generation (4G) wireless networks, and it is being embraced by a number of current technologies, including DVB and WiMax. It is also a preferred technology driving the BWA market.

Improving Error Detection and Correction

Remember that in radio transmission systems, it is important to balance expanding capacity (i.e., increasing bandwidth efficiency) with maintaining quality (i.e., reducing the effects of noise and interference). Now that we've covered the various spectrum reuse techniques designed to achieve greater capacity in wireless networks, let's examine two techniques designed to improve the quality of wireless communications, or more specifically, the integrity of the data flow:

  • Forward error correction (FEC)FEC improves the reliability of digital radio systems by combining redundant information with the transmission. The receiver, using a probability technique, can detect and correct a certain percentage of errors. However, because this requires more bits to be transmitted, it affects bandwidth efficiency. There are a variety of FEC techniques that vary in the coding rate, or the amount of additional information that must be sent, which affects the receiver's ability to correct errors. FEC coding refers to the ratio of uncoded to coded bits. The improvement gained is generally expressed in improvements in signal-to-noise ratio or signal-to-interference ratio.

    Different coding rates affect the FEC overhead. The coding rate is expressed as a fraction that represents the number of uncoded bits input to the FEC encoder and the number of coded bits output to the transmitter. For example, 3/4 means 3 uncoded bits are sent as 4 coded bits, resulting in 33% overhead; 1/2 means 1 uncoded bit is sent as 2 coded bits, resulting in 100% overhead.

    In WLAN applications, OFDM transmission includes FEC coding that is spread across several subcarriers. If several of the subcarriers are lost, the receiver can reconstruct the information.

  • Convolutional codingThis type of coding is used in 802.11a and 802.11g WLANs. This technique works by taking the transmitted bit sequence, selecting a group of the most recently occurring bits, distributing them into two or more sets, and performing a mathematical operation (convolution) to generate one coded bit from each set as the output. The receiver runs a comparison of the coded bit sequence and retains the best matches, which allows it to make a maximum likelihood estimate of the correct decoded bit sequence.

There are more complicated error correction techniques as well, including Trellis, Reed-Solomon, the Viterbi algorithm, Turbo coding, and the Walsh Code. A good source for more information on all these techniques is Wikipedia (www.wikipedia.org).

Duplexing Techniques

Another way in which the operations of wireless networks differ, and hence also the standards differ, is the duplexing techniquethe procedure for separating the incoming and outgoing conversations. Duplex transmission refers to the ability to send information in both directions over a single channel. Two transmitters cannot use the same channel at the same time because they will interfere with one another, but there are two techniques for enabling full-duplex transmission: Frequency Division Duplex (FDD) and Time Division Duplex (TDD).


With FDD, two separate channels are assigned for transmission: the transmit channel and the receive channel. FDD requires more bandwidth than TDD. FDD is the legacy technique used for point-to-point links supporting voice, which is symmetric and defined by predictable traffic. Hence, FDD is the most widely used technique in cellular networks. Because there is much equipment based on legacy FDD point-to-point radio links, FDD is a top priority for some manufacturers.


In TDD, which is found in various standards across all the technology domains, including WWANs, WMANs, WLANs, and WPANs, the two ends take turns sending on the same channel. TDD can be designed as a contention system, where an access protocol (such as CSMA/CA) minimizes the chance of collision. TDD can also be designed for no contention, where time slots are defined, and each direction uses assigned time slots; this is referred to as a "ping-pong" technique. TDD makes practical the reallocation of spectral resources from uplink to downlink or vice versa. The ability to adapt the spectrum resources to the actual traffic pattern significantly improves frequency resource utilization. These characteristics make TDD an attractive alternative in support of triple play (i.e., a single carrier's offering of voice, data, and TV services).

TDD does have some drawbacks, including a requirement for burst demodulators and more difficult synchronization of uplink transmission due to the absence of frequency and clock references. However, due to its superior performance in supporting spectrum efficiency and flexibility, TDD is the preferred solution in broadband fixed wireless access (BFWA) networks. (BFWA systems are discussed in Chapter 15.)

Compression Techniques

After carving space into cells and applying multiple-access techniques within each cell to make better use of the bandwidth available, it is possible to apply compression to make greater use of the bandwidth within each given channel. Compression is very important because it improves the use of a precious resource: the communications channel.

Voice compression techniques use voice coders/decoders (vocoders), of which there are two general types:

  • High-bit-rate vocoders These vocoders are used by PCS, wireless local loops, and wireless office telecommunication systems applications. These vocoders carry voice by using 32Kbps Adaptive Differential Pulse Code Modulation (ADPCM). A bit rate this high emulates the quality achieved on the PSTN, and no additional error detection and correction is necessary.

  • Low-bit-rate vocoders These vocoders are used in cellular systems that deal with vehicular traffic, where large cells need to facilitate a large number of conversations, or anywhere bandwidth efficiency is critical, such as densely populated areas. These vocoders reduce the voice down to 8Kbps, using extensive channel coding techniques that help facilitate error correction, such as linear predictive coding (LPC), Quantized Code-Excited Linear Prediction (QCELP), or Vector Sum Excited Linear Prediction (VSLEP). GSM uses Regular Pulse Excitation Long Term Prediction (RPE LTP), which carries digitized voice at 13Kbps, achieving good voice quality (albeit not comparable to that achieved on good old-fashioned landlines).

Unfortunately, in the realm of data, there are no set standards for data compression; many techniques exist, and overall, data compression is underused.

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