The present invention relates to a method and apparatus for power control in a forward link of a communication system, particularly but not exclusively a satellite communications system.
Many satellite communications systems have Adaptive Coding and Modulation (ACM) that aim to maximize the throughput of a forward link (i.e. for transmission to a user terminal (UT)). An example system is disclosed in US2014/0056335 A1.
Consider an example where a UT 6 is making a voice over internet-protocol (VOIP), and is in an area where there is excellent signal strength. In a conventional ACM method the UT 6 will report its link conditions and the network will adapt the code rate and modulation so that the user can achieve maximum data rate. However, the UT 6 only requires a sufficient data rate to make a VOIP call, whereas the maximum data rate may only be required if the UT 6 is streaming real time data. Hence, the conventional approach to ACM may not give the optimum overall system performance.
Aspects of the present invention are defined by the accompanying claims.
Embodiments of the invention include a method to optimise the system performance for given aggregate satellite power in the forward direction. This method may maximise total system throughput, rather than per user throughput in cases where the forward link is shared with a plurality of users.
Embodiments of the invention may use an algorithm that overcomes the conventional mismatch of requirements by adjusting the forward carrier EIRP.
The method may maintain equilibrium between ACM and optimisation of system capacity, for example by grouping of user terminals based on demand and/or geographic location, optimising the forward link power control such that the demand for each group is met, and balancing the total power available to optimise the link per user terminal group.
Optimising the forward link power may involve one or more of the following benefits. First, power distribution is no longer fixed so that user terminal groups with higher demand can be serviced with a higher power. Second, some user links may be operated with a lower power than in a conventional ACM method, which leads to reduction in interference, further improving system performance.
Specific embodiments of the present invention will now be described with reference to the accompanying drawings, in which:
Apparatus for use in an embodiment of the invention is shown in
In the following discussion, the term ‘carrier’ may refer to a frequency channel having a predetermined bandwidth. The carrier may be shared between different UTs 6, for example using time slots in a TDMA system or spreading codes in a CDMA system.
The ground station 1 is arranged to maintain a record of demand from the UTs 6, for example from forward data queue length and/or demand requirements received from the UTs 6. The ground station 1 and/or the satellite 2 are able to adjust independently the power (e.g. EIRP) of each forward link carrier, for example for the forward carriers FC1, FC2.
The ground station periodically runs the algorithm shown in
In Step S3 the ground station 1 calculates the maximum EIRP needed within a group 6.1, 6.2 to satisfy the demands of every UT within that group.
In step S4 the power control function of the satellite 2 and/or the ground station 1 is used to adjust the EIRP for each forward link FC1, FC2, preferably subject to the following constraints.
Let there be a maximum of θmax groups per beam 5 and let upiθj be the EIRP required to achieve a data rate driθj for useriθj where i=ith user and θj=jth user group.
Where upθjmin is the minimum power required in the jth user group to attain max(driθj).
An example of the method of
Start S1:
For each User Equipment Type the network will store a look up table a mapping of the CNo and Datarate, for example as shown below.
Where Type indicates the modulation type (the number after ‘X’ indicating the number of possible modulation symbols), and Sub Type indicates the FEC coding rate.
End Algorithm
A specific use example will now be described with reference to
In an example, there are 3 users in each of Beam A and Beam B, with symmetric demands. For ease of link analysis, the beam isolation at all points is assumed to be the same. The user demands are as shown in Table 1 below.
The system will assign two full carriers F1 and F2 to users 3B and 3A respectively as they demand the maximum throughput that can be achieved by the system. Users 1A and 2A can be served on the same frequency as their maximum aggregate rate is 152 kbps which can be served with one carrier.
As the frequencies can be re-used, Users 1A and 1B are assigned frequency F1 and Users 2A and 2B are assigned frequency F2. In a conventional scenario the network will set both carriers with the same EIRP, for example 41.5 dBW. The conventional ACM allocates the best possible modulation and code rate. Table 2 details the link analysis for such a situation.
The total power used by the two beams A and B is 47.5 dBW and the useful aggregate Data Rate is 1366 kbps.
In contrast, an implementation of the algorithm in an embodiment of the invention will now be described. The network has the information that Users 1A and 1B need a maximum of 24 kbps (IP voice) and Users 2A and 2B need a maximum of 128 kbps streaming rate i.e. an aggregate maximum of 152 kbps. Therefore the network can lower the power for those carriers. On the other hand users 3A and 3B need 858 kbps, which they cannot achieve. Therefore, the network will have to increase the power. The network optimises management of the co-channel interference and the required data rate, and adjusts the carrier powers as shown below, maintaining the same total power per beam.
The total power used in the total beams is almost the same as in the conventional case (the embodiment requires 0.25 dB less). The total data rate achieved is 1708 kbps i.e. 25% increase in total capacity for the two beams. In addition, the maximum per-user throughput goes up by 32% from 531 kbps to 702 kbps.
The application of the algorithm in the embodiment to the above example will now be described.
Each User signals their Max QoS (Quality of Service):
The required CNo is obtained from a look up table which is specific to a given satellite network.
In this case for beam 1 the following are the required CNo
The above steps are shown for Beam A; the same applies to Beam B.
The required CNo for each group is obtained from a look up table which is specific to a given satellite network.
Therefore, power of F1 has to be reduced whereas the power of F2 has to be increased.
Applying the EIRP control algorithm of the embodiment:
Alternative embodiments of the invention may be envisaged, which may nevertheless fall within the scope of the accompanying claims.
Number | Date | Country | Kind |
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1621173.2 | Dec 2016 | GB | national |