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Base station cooperation in MIMO-aided multi-user multi-cell systems employing distributed probabilistic data association based soft reception

Base station cooperation in MIMO-aided multi-user multi-cell systems employing distributed probabilistic data association based soft reception
Base station cooperation in MIMO-aided multi-user multi-cell systems employing distributed probabilistic data association based soft reception
Inter-cell co-channel interference (CCI) mitigation is investigated in the context of cellular systems relying on dense frequency reuse. A distributed Base Station (BS) cooperation aided soft reception scheme using the Probabilistic Data Association (PDA) algorithm and Soft Combining (SC) is proposed for the uplink of multi-user multi-cell MIMO systems. The realistic hexagonal cellular model relying on unity Frequency Reuse (FR) is considered, where both the BSs and the Mobile Stations (MSs) are equipped with multiple antennas. Local cooperation based message passing is used instead of a global message passing chain for the sake of reducing the backhaul traffic. The PDA algorithm is employed as a low complexity solution for producing soft information, which facilitates the employment of SC at the individual BSs in order to generate the final soft decision metric. Our simulations and analysis demonstrate that despite its low additional complexity and backhaul traffic, the proposed distributed PDA-aided reception scheme significantly outperforms the conventional non-cooperative bench markers.
distributed processing, base station cooperation, co-channel interference, soft combining, probabilistic data association, pda
1-5
Yang, Shaoshi
df1e6c38-ff3b-473e-b36b-4820db908e60
Lv, Tiejun
fb465673-1068-4cae-bb94-93ab1dd63f4d
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Yang, Shaoshi
df1e6c38-ff3b-473e-b36b-4820db908e60
Lv, Tiejun
fb465673-1068-4cae-bb94-93ab1dd63f4d
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1

Yang, Shaoshi, Lv, Tiejun and Hanzo, Lajos (2011) Base station cooperation in MIMO-aided multi-user multi-cell systems employing distributed probabilistic data association based soft reception. 46th IEEE International Conference on Communications (IEEE ICC 2011), Kyoto, Japan. 05 - 09 Jun 2011. pp. 1-5 . (doi:10.1109/icc.2011.5962981).

Record type: Conference or Workshop Item (Paper)

Abstract

Inter-cell co-channel interference (CCI) mitigation is investigated in the context of cellular systems relying on dense frequency reuse. A distributed Base Station (BS) cooperation aided soft reception scheme using the Probabilistic Data Association (PDA) algorithm and Soft Combining (SC) is proposed for the uplink of multi-user multi-cell MIMO systems. The realistic hexagonal cellular model relying on unity Frequency Reuse (FR) is considered, where both the BSs and the Mobile Stations (MSs) are equipped with multiple antennas. Local cooperation based message passing is used instead of a global message passing chain for the sake of reducing the backhaul traffic. The PDA algorithm is employed as a low complexity solution for producing soft information, which facilitates the employment of SC at the individual BSs in order to generate the final soft decision metric. Our simulations and analysis demonstrate that despite its low additional complexity and backhaul traffic, the proposed distributed PDA-aided reception scheme significantly outperforms the conventional non-cooperative bench markers.

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Published date: June 2011
Venue - Dates: 46th IEEE International Conference on Communications (IEEE ICC 2011), Kyoto, Japan, 2011-06-05 - 2011-06-09
Keywords: distributed processing, base station cooperation, co-channel interference, soft combining, probabilistic data association, pda
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 271902
URI: http://eprints.soton.ac.uk/id/eprint/271902
PURE UUID: 7308b7d4-ddf8-4788-9fe9-4d2848155cfd
ORCID for Lajos Hanzo: ORCID iD orcid.org/0000-0002-2636-5214

Catalogue record

Date deposited: 12 Jan 2011 21:06
Last modified: 18 Mar 2024 02:34

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Contributors

Author: Shaoshi Yang
Author: Tiejun Lv
Author: Lajos Hanzo ORCID iD

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