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A Round Robin preemptive scheduling example with quantum=3.

Round-robin (RR) is one of the algorithms employed by process and network schedulers in computing.[1][2]As the term is generally used, time slices (also known as time quanta)[3] are assigned to each process in equal portions and in circular order, handling all processes without priority (also known as cyclic executive). Round-robin scheduling is simple, easy to implement, and starvation-free. Round-robin scheduling can be applied to other scheduling problems, such as data packet scheduling in computer networks. It is an operating system concept.

The name of the algorithm comes from the round-robin principle known from other fields, where each person takes an equal share of something in turn.

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Process scheduling[edit]

To schedule processes fairly, a round-robin scheduler generally employs time-sharing, giving each job a time slot or quantum[4] (its allowance of CPU time), and interrupting the job if it is not completed by then. The job is resumed next time a time slot is assigned to that process. If the process terminates or changes its state to waiting during its attributed time quantum, the scheduler selects the first process in the ready queue to execute. In the absence of time-sharing, or if the quanta were large relative to the sizes of the jobs, a process that produced large jobs would be favoured over other processes.

Round-robin algorithm is a pre-emptive algorithm as the scheduler forces the process out of the CPU once the time quota expires.

For example, if the time slot is 100 milliseconds, and job1 takes a total time of 250 ms to complete, the round-robin scheduler will suspend the job after 100 ms and give other jobs their time on the CPU. Once the other jobs have had their equal share (100 ms each), job1 will get another allocation of CPU time and the cycle will repeat. This process continues until the job finishes and needs no more time on the CPU.

  • Job1 = Total time to complete 250 ms (quantum 100 ms).
  1. First allocation = 100 ms.
  2. Second allocation = 100 ms.
  3. Third allocation = 100 ms but job1 self-terminates after 50 ms.
  4. Total CPU time of job1 = 250 ms

Consider the following table with the arrival time and execute time of the process with the quantum time of 100 ms to understand the round-robin scheduling:

Process nameArrival timeExecute time
P00250
P150170
P213075
P3190100
P4210130
P535050

Another approach is to divide all processes into an equal number of timing quanta such that the quantum size is proportional to the size of the process. Hence, all processes end at the same time.

Network packet scheduling[edit]

In best-effortpacket switching and other statistical multiplexing, round-robin scheduling can be used as an alternative to first-come first-served queuing.

A multiplexer, switch, or router that provides round-robin scheduling has a separate queue for every data flow, where a data flow may be identified by its source and destination address. The algorithm allows every active data flow that has data packets in the queue to take turns in transferring packets on a shared channel in a periodically repeated order. The scheduling is work-conserving, meaning that if one flow is out of packets, the next data flow will take its place. Hence, the scheduling tries to prevent link resources from going unused.

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Round-robin scheduling results in max-min fairness if the data packets are equally sized, since the data flow that has waited the longest time is given scheduling priority. It may not be desirable if the size of the data packets varies widely from one job to another. A user that produces large packets would be favored over other users. In that case fair queuing would be preferable.

If guaranteed or differentiated quality of service is offered, and not only best-effort communication, deficit round-robin (DRR) scheduling, weighted round-robin (WRR) scheduling, or weighted fair queuing (WFQ) may be considered.

In multiple-access networks, where several terminals are connected to a shared physical medium, round-robin scheduling may be provided by token passingchannel access schemes such as Token Ring, or by polling or resource reservation from a central control station.

In a centralized wireless packet radio network, where many stations share one frequency channel, a scheduling algorithm in a central base station may reserve time slots for the mobile stations in a round-robin fashion and provide fairness. However, if link adaptation is used, it will take a much longer time to transmit a certain amount of data to 'expensive' users than to others since the channel conditions differ. It would be more efficient to wait with the transmission until the channel conditions are improved, or at least to give scheduling priority to less expensive users. Round-robin scheduling does not utilize this. Higher throughput and system spectrum efficiency may be achieved by channel-dependent scheduling, for example a proportionally fair algorithm, or maximum throughput scheduling. Note that the latter is characterized by undesirable scheduling starvation. This type of scheduling is one of the very basic algorithms for Operating Systems in computers which can be implemented through circular queue data structure.

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See also[edit]

References[edit]

  1. ^Arpaci-Dusseau, Remzi H.; Arpaci-Dusseau, Andrea C. (2014), Operating Systems: Three Easy Pieces [Chapter: Scheduling Introduction](PDF), Arpaci-Dusseau Books
  2. ^Guowang Miao, Jens Zander, Ki Won Sung, and Ben Slimane, Fundamentals of Mobile Data Networks, Cambridge University Press, ISBN1107143217, 2016.
  3. ^Stallings, William (2015). Operating Systems: Internals and Design Principles. Pearson. p. 409. ISBN978-0-13-380591-8.
  4. ^Silberschatz, Abraham; Galvin, Peter B.; Gagne, Greg (2010). 'Process Scheduling'. Operating System Concepts (8th ed.). John Wiley & Sons (Asia). p. 194. ISBN978-0-470-23399-3. 5.3.4 Round Robin Scheduling

External links[edit]

Retrieved from 'https://en.wikipedia.org/w/index.php?title=Round-robin_scheduling&oldid=992896669'

Frequency Division Duplex

FDD requires two separate wireless communications channels on separate frequencies, one for transmit and the other for received data.

FDD is used in the following wireless systems:

  • Microwave (MW) Links
  • Millimeter Wave (MMW) links
  • Some 4G/LTE networks (some use TDD)

Wireless systems need two separate frequency bands or channels. A sufficient amount of guard band separates the two bands so the transmitter and receiver don’t interfere with one another. Good filtering or duplexers and possibly shielding are a must to ensure the transmitter does not desensitize the adjacent receiver.


2. FDD requires two symmetrical segments of spectrum for the uplink and downlink channels.

In a radio with a transmitter and receiver operating simultaneously within such close proximity, the receiver must filter out as much of the transmitter signal as possible. The greater the spectrum separation, the more effective the filters.

FDD uses lots of frequency spectrum, though, generally at least twice the spectrum needed by TDD. In addition, there must be adequate spectrum separation between the transmit and receive channels. These so-called guard bands aren’t useable, so they’re wasteful. Given the scarcity and expense of spectrum, these are real disadvantages.

However, FDD is very widely used in cellular telephone systems, such as the widely used GSM system. In some systems the 25-MHz band from 869 to 894 MHz is used as the downlink (DL) spectrum from the cell site tower to the handset, and the 25-MHz band from 824 to 849 MHz is used as the uplink (UL) spectrum from the handset to cell site.

Another disadvantage with FDD is the difficulty of using special antenna techniques like multiple-input multiple-output (MIMO) and beamforming. These technologies are a core part of the new Long-Term Evolution (LTE) 4G cell phone strategies for increasing data rates. It is difficult to make antenna bandwidths broad enough to cover both sets of spectrum. More complex dynamic tuning circuitry is required.

FDD also works on a cable where transmit and receive channels are given different parts of the cable spectrum, as in cable TV systems. Again, filters are used to keep the channels separate.

Time Division Duplex

TDD uses a single frequency band for both transmit and receive. Then it shares that band by assigning alternating time slots to transmit and receive operations. The information to be transmitted—whether it’s voice, video, or computer data—is in serial binary format. Each time slot may be 1 byte long or could be a frame of multiple bytes.

TDD is used in the following wireless systems:

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  • WiFi Networks
  • Some 4G/LTE networks (some use FDD)
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3. TDD alternates the transmission and reception of station data over time. Time slots may be variable in length.

Because of the high-speed nature of the data, the communicating parties cannot tell that the transmissions are intermittent. The transmissions are concurrent rather than simultaneous. For digital voice converted back to analog, no one can tell it isn’t full duplex.

In some TDD systems, the alternating time slots are of the same duration or have equal DL and UL times. However, the system doesn’t have to be 50/50 symmetrical. The system can be asymmetrical as required.

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For instance, in Internet access, download times are usually much longer than upload times so more or fewer frame time slots are assigned as needed. Some TDD formats offer dynamic bandwidth allocation where time-slot numbers or durations are changed on the fly as required.

The real advantage of TDD is that it only needs a single channel of frequency spectrum. Furthermore, no spectrum-wasteful guard bands or channel separations are needed. The downside is that successful implementation of TDD needs a very precise timing and synchronization system at both the transmitter and receiver to make sure time slots don’t overlap or otherwise interfere with one another.

Timing is often synched to precise GPS-derived atomic clock standards. Guard times are also needed between time slots to prevent overlap. This time is generally equal to the send-receive turnaround time (transmit-receive switching time) and any transmission delays (latency) over the communications path.

Advantages / disadvantages of LTE TDD and LTE FDD for cellular communications

There are a number of the advantages and disadvantages of TDD and FDD that are of particular interest to mobile or cellular telecommunications operators. These are naturally reflected into LTE.

COMPARISON OF TDD LTE AND FDD LTE DUPLEX FORMATS
PARAMETERLTE-TDDLTE-FDD
Paired spectrumDoes not require paired spectrum as both transmit and receive occur on the same channelRequires paired spectrum with sufficient frequency separation to allow simultaneous transmission and reception
Hardware costLower cost as no diplexer is needed to isolate the transmitter and receiver. As cost of the UEs is of major importance because of the vast numbers that are produced, this is a key aspect.Diplexer is needed and cost is higher.
Channel reciprocityChannel propagation is the same in both directions which enables transmit and receive to use on set of parametersChannel characteristics different in both directions as a result of the use of different frequencies
UL / DL asymmetryIt is possible to dynamically change the UL and DL capacity ratio to match demandUL / DL capacity determined by frequency allocation set out by the regulatory authorities. It is therefore not possible to make dynamic changes to match capacity. Regulatory changes would normally be required and capacity is normally allocated so that it is the same in either direction.
Guard period / guard bandGuard period required to ensure uplink and downlink transmissions do not clash. Large guard period will limit capacity. Larger guard period normally required if distances are increased to accommodate larger propagation times.Guard band required to provide sufficient isolation between uplink and downlink. Large guard band does not impact capacity.
Discontinuous transmissionDiscontinuous transmission is required to allow both uplink and downlink transmissions. This can degrade the performance of the RF power amplifier in the transmitter.Continuous transmission is required.
Cross slot interferenceBase stations need to be synchronised with respect to the uplink and downlink transmission times. If neighbouring base stations use different uplink and downlink assignments and share the same channel, then interference may occur between cells.Not applicable

Application Examples

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  • Terrestrial Microwave links use FDD
  • Terrestrial Millimeter Wave links use FDD
  • Most cell-phone systems use FDD
  • LTE and 4G systems use FDD or TDD depending on band.
  • WiFi and Bluetooth use TDD
  • Most 5GHz P2P and P2MP radios use TDD

TDD has advantages on spectral efficiency when the up/down data path content is asymmetric. Examples are Internet Download, IPTV and CCTV which have data content predominantly in one direction.

Conclusion

Both FDD and TDD have benefits depending on the application. Existing industry standards and spectrum regulation rules will often impose which choice of FDD or TDD is used.

TDD appears often to be the better overall choice, but FDD is far more widely implemented because of prior frequency spectrum assignments and earlier technologies. FDD will continue to dominate the cellular business for now. Yet as spectrum becomes more costly and scarce, TDD will become more widely adopted as spectrum is reallocated and repurposed.

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