DocumentCode :
1557006
Title :
Distributed Probabilistic-Data-Association-Based Soft Reception Employing Base Station Cooperation in MIMO-Aided Multiuser Multicell Systems
Author :
Yang, Shaoshi ; Lv, Tiejun ; Maunder, Robert G. ; Hanzo, Lajos
Author_Institution :
Sch. of Electron. & Comput. Sci., Univ. of Southampton, Southampton, UK
Volume :
60
Issue :
7
fYear :
2011
Firstpage :
3532
Lastpage :
3538
Abstract :
Intercell cochannel interference (CCI) mitigation is investigated in the context of cellular systems relying on dense frequency reuse (FR). 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 multiuser multicell MIMO systems. The realistic 19-cell hexagonal cellular model relying on unity 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 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 SC (DPDA-SC) reception scheme significantly outperforms the conventional noncooperative benchmarkers. Furthermore, since only the index of the possible discrete value of the quantized converged soft information has to be exchanged for SC in practice, the proposed DPDA-SC scheme is relatively robust to the quantization errors of the soft information exchanged. As a beneficial result, the backhaul traffic is dramatically reduced at negligible performance degradation.
Keywords :
cellular radio; cochannel interference; cooperative communication; diversity reception; interference suppression; message passing; probability; telecommunication traffic; 19-cell hexagonal cellular model; MIMO-aided multiuser multicell systems; backhaul traffic; base station cooperation; distributed probabilistic-data-association; frequency reuse; intercell cochannel interference mitigation; message passing; mobile stations; quantization errors; soft combining; soft information; soft reception; Channel estimation; Complexity theory; Copper; Indexes; Interference; MIMO; Personal digital assistants; Base station (BS) cooperation; cochannel interference (CCI); distributed multiple-input–multiple-output (MIMO); message passing; multicell processing; probabilistic data association (PDA); soft combining (SC);
fLanguage :
English
Journal_Title :
Vehicular Technology, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9545
Type :
jour
DOI :
10.1109/TVT.2011.2159822
Filename :
5887436
Link To Document :
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