Femtocell interference by macro network is now addressed

January 25, 2010 by admin  
Filed under Uncategorized

femtocell Femtocell interference by macro network is now addressed

It is widely accepted that the of femtocells will be a significant factor in driving the future uptake of mobile broadband services. There has been concern however over potential issues of interference between femtocells and the micro/macro networks. These concerns have been largely allayed by a femtocell radio study carried out by The Femto Forum.
If one understand the basic concept of femtocells that the concern for interference is obvious. The femtocells and macrocell network share the same carrier and hence the cause for interference. The simplest way to avoid interference is for the femtocell to utilise a different carrier than the surrounding macro network. But I think this will be like running away from the problem instead of solving it. Also this not very much feasible or practical solution either because majority of 3G operators do not have sufficient spectrum.
This issue was really serious and as expected whoever involved with the femtocell specially the Femto Forum got involved into the research to answers the queries regarding the interference.
The Femto Forum study therefore focused on finding technological solutions for mitigating interference when both the femtocell and macrocell networks share the same carrier. These methods are already being developed for pre-standard femtocell solutions, and Femto Forum members are working to bring them within the standards framework.
The main objective of the study was to identify a number of solutions that will mitigate any potential interference of the macro network by the femtocells.
The first really good news is that the study found femtocells have the potential to deliver an order of magnitude of more capacity than the macro network alone when used in dense , even when occupying the same radio channel as the macrocell.
Effectively what it’s been suggested is that any interference related barriers to wide scale femtocell have been removed so operators will be able to maximise the capacity benefits offered by femtocells.
Following are the key solutions suggested for interference mitigation considering that femtocell and macro cell using the same carrier:
  • Adaptive Pilot Power Control: In this case the femtocell dynamicallyadjusts its transmit power in response to the current level of signals fromsurrounding cells and the desired coverage area.
  • Extended Tests for Dynamic Range: This will ensure that femtocell designsare able to operate reliably even in the presence of nearby high powermobile phones connected to the macro network (this test has already beenincorporated into the latest 3GPP Release 8, 25.104 specification).
  • Uplink power capping: This technique specify that the uplink power of the mobile phone is capped when operating in the femtocell environment thus ensuring that even in difficult radio conditions,the phone hands-off to the macro network before its transmit power increasesto the point where macro noise rise is a problem.
  • Dynamic receiver gain management: Automatic gain or adaptive attenuation in the femtocell will ensure that femtocells can offer good service to both near and far mobile phones without unnecessarily increasing the phone transmit power, therefore keeping the noise rise to a minimum.

At a time when mobile operators are seeing data usage rocket, femtocells offer an economic and effective way to deal with demand. This therefore makes it very important for the femtocell technology to sort out any niggling issues.

There is no doubt that by utilizing the identified interference management techniques femtocells can offer operators an effective method to increase capacity and coverage within theirexisting networks through dense cell .

Multiuser Cooperative Diversity and Virtual MIMO

January 24, 2010 by admin  
Filed under Uncategorized

[#2: Edit Options>MightyAdsense>Adsense Code]

VirtualMimoApplication Multiuser Cooperative Diversity and Virtual MIMO

MIMO (Multiple Input Multiple Output) by definition requires multiple antenna but it is also possible to use one antenna with Co-operative Diversity to create Cooperative MIMO or Virtual MIMO.

Earlier this year, Nokia Siemens Network reported the following on Virtual MIMO:

Researchers at Nokia Siemens Networks have demonstrated in lab conditions how a virtual Multiple Input Multiple Output (MIMO) technique can be used for the uplink in LTE (Long Term Evolution) networks.

Tests at its labs in Munich, Germany, have shown how, using such an SDMA (Space Division Multiple Access) based technique, two standard mobile devices, each with only one physical transmission antenna, can communicate with a base station simultaneously and on the same radio channel.

On the uplink transmission, data rates of 108Mbit/s were achieved, double the usual speed, while the downlink managed 160Mbit/s.

The researchers say that while MIMO on the downlink primarily generates higher peak data rates for the end user, virtual MIMO on the uplink makes it possible for an operator to increase network capacity and better utilize the available spectrum.

Nokia Siemens also said the technique contributes to one of the crucial prerequisites for the success of LTE by reducing power consumption of LTE based devices to “acceptable levels” even when used for very high data- and that this should be achieved at “moderate prices.”

The researchers say that with virtual MIMO only one power amplifier and transmission antenna is necessary for each device, contributing to reduced production costs and power needs.

In the LTE test bed, developed and built in collaboration with the Fraunhofer Institute for Telecommunications (Heinrich Hertz Institute), two co-operating end-user devices form a virtual MIMO system in which the antenna elements are distributed over the two devices. The two devices can be supplied simultaneously with data over the same using space division multiplexing.

The following is an extract from EURASIP Journal onWireless Communications and Networking:

Multihop relaying technology is a promising solution for future cellular and ad hoc wireless communications systems in order to achieve broader coverage and to mitigate wireless channels impairment without the need to use high power at the transmitter.

Recently, a new concept that is being actively studied in multihop-augmented networks is multiuser cooperativediversity, where several terminals forma kind of coalition to assist each other with the transmission of their messages.

In general, cooperative relaying systems have a source node multicasting a message to a number of cooperative relays, which in turn resend a processed version to the intended destination node. The destination node combines the signal received from the relays, possibly also taking into account the source’s original signal.

Cooperative diversity exploits two fundamentals features of wireless medium: its broadcast nature and its ability to achieve diversity through independent channels.

There are three advantages from this:

(1) Diversity. This occurs because different paths are likely to fade independently. The impact of this is expected to be seen in the physical layer, in the design of a receiver that can exploit this diversity.

(2) Beamforming gain. The use of directed beams should improve the capacity on the individual wireless links.The gains may be particularly significant if space-time coding schemes are used.

(3) Interference mitigation. A protocol that takes advantage of the wireless channel and the antennas and receivers available could achieve a substantial gain in system throughput by optimizing the processing done inthe cooperative relays and in the scheduling of retransmissions by the relays so as to minimize mutual interference and facilitate information transmission by cooperation.

Source: Multiuser Cooperative Diversity forWireless Networks by George K. Karagiannidis, Chintha Tellambura, Sayandev Mukherjee and Abraham O. Fapojuwo, Volume 2006, Article ID 17202

CoopDiversitySchemes Multiuser Cooperative Diversity and Virtual MIMOThere are 3 main types of co-operative diversity which are self-explanatory in the diagram above:
Decode and Forward
  • Simple and adaptable to channel condition (power allocation)
  • If detection in relay node unsuccessful => detrimental for detection in receiver (adaptive algorithm can fix the problem)
  • Receiver need CSI between source and relay for optimum decoding

  • Amplify and Forward
  • Achieve full diversity
  • Performance better than direct transmission and decode-and-forward
  • achieve the capacity when number of relays tend to infinity

  • Coded Cooperation
  • transmit incremental redundancy for partner
  • Automatic manage through code design
  • no feedback required between the source and relay
  • Rely on full decoding at the relay => cannot achieve full diversity!
  • Not scalable to large cooperating groups.
  • Incoming search terms for the article: