Partial joint processing with efficient backhauling using particle swarm optimization

6533b82bfe1ef96bd128d621

RESEARCH PRODUCT

Partial joint processing with efficient backhauling using particle swarm optimization

Tilak Rajesh Lakshmana Carmen Botella Tommy Svensson

subject

Mathematical optimization Computer Networks and Communications Computer science Real-time computing Signal-to-interference-plus-noise ratio 02 engineering and technology coordinated multipoint Precoding Frequency reuse joint processing Base station 0203 mechanical engineering 0202 electrical engineering electronic engineering information engineering Zero-forcing precoding Comunicació i tecnologia precoding Other Electrical Engineering Electronic Engineering Information Engineering particle swarm optimization ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS Particle swarm optimization 020206 networking & telecommunications 020302 automobile design & engineering stochastic optimization Computer Science Applications Backhaul (telecommunications)Channel state information Signal Processing Telecommunications Stochastic optimization

description

In cellular communication systems with frequency reuse factor of one, user terminals (UT) at the cell-edge are prone to intercell interference. Joint processing is one of the coordinated multipoint transmission techniques proposed to mitigate this interference. In the case of centralized joint processing, the channel state information fed back by the users need to be available at the central coordination node for precoding. The precoding weights (with the user data) need to be available at the corresponding base stations to serve the UTs. These increase the backhaul traffic. In this article, partial joint processing (PJP) is considered as a general framework that allows reducing the amount of required feedback. However, it is difficult to achieve a corresponding reduction on the backhaul related to the precoding weights, when a linear zero forcing beamforming technique is used. In this work, particle swarm optimization is proposed as a tool to design the precoding weights under feedback and backhaul constraints related to PJP. The precoder obtained with the objective of weighted interference minimization allows some multiuser interference in the system, and it is shown to improve the sum rate by 66% compared to a conventional zero forcing approach, for those users experiencing low signal to interference plus noise ratio.

year	journal	country	edition	language
2012-05-29	EURASIP Journal on Wireless Communications and Networking

https://doi.org/10.1186/1687-1499-2012-182