Conference Paper

Co-Existence Analysis of LTE Micro Cell and LTE Out-Band Backhaul.

DOI: 10.1109/VETECF.2010.5594545 Conference: Proceedings of the 72nd IEEE Vehicular Technology Conference, VTC Fall 2010, 6-9 September 2010, Ottawa, Canada
Source: DBLP

ABSTRACT In this paper, a stand-alone LTE based out-band backhaul is designed for urban area in NLOS environment, and the interference and compatibility issues relating to co-existence of LTE micro cell and co-located LTE out-band backhaul are investigated by a static system level simulator. Feasibility and recommendation of installing out-band backhaul are analyzed according to the simulation results.

  • IEEE Transactions on Wireless Communications 01/2015; DOI:10.1109/TWC.2015.2399308 · 2.76 Impact Factor
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: The design of distributed mechanisms for interference management is one of the key challenges in emerging wireless small cell networks whose backhaul is capacity limited and heterogeneous (wired, wireless and a mix thereof). In this paper, a novel, backhaul-aware approach to interference management in wireless small cell networks is proposed. The proposed approach enables macrocell user equipments (MUEs) to optimize their uplink performance, by exploiting the presence of neighboring small cell base stations. The problem is formulated as a noncooperative game among the MUEs that seek to optimize their delay-rate tradeoff, given the conditions of both the radio access network and the -- possibly heterogeneous -- backhaul. To solve this game, a novel, distributed learning algorithm is proposed using which the MUEs autonomously choose their optimal uplink transmission strategies, given a limited amount of available information. The convergence of the proposed algorithm is shown and its properties are studied. Simulation results show that, under various types of backhauls, the proposed approach yields significant performance gains, in terms of both average throughput and delay for the MUEs, when compared to existing benchmark algorithms.
    IEEE Transactions on Wireless Communications 08/2013; 12(11). DOI:10.1109/TWC.2013.092413.130221 · 2.76 Impact Factor