{"id":3852,"date":"2012-09-21T09:00:11","date_gmt":"2012-09-21T13:00:11","guid":{"rendered":"https:\/\/blogs.mathworks.com\/pick\/?p=3852"},"modified":"2018-09-14T05:22:10","modified_gmt":"2018-09-14T09:22:10","slug":"lte-downlink-physical-channel-processing","status":"publish","type":"post","link":"https:\/\/blogs.mathworks.com\/pick\/2012\/09\/21\/lte-downlink-physical-channel-processing\/","title":{"rendered":"LTE Downlink Physical Channel Processing"},"content":{"rendered":"
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Idin<\/a>'s pick for this week is LTE Downlink Physical Channel processing by Amit Kansal<\/a>.\r\n <\/p>\r\n

Note: If you have MATLAB R2012b or newer installed, you can access the latest version<\/a> of this model as one of the examples in the LTE Toolbox<\/a>. The original files on the File Exchange have been migrated into the product.<\/i><\/p>\r\n

Amit is one of our developers on the Communications Toolbox<\/a>. This submission on the File Exchange is the result of a few months' work to go through LTE standard documents<\/a>, and to implement a portion of it accurately in MATLAB\/Simulink. Amit's model simulates the physical downlink shared channel\r\n (PDSCH); that is the data channel from the base-station (eNode B) to the mobile user equipment (UE). It implements transmission\r\n mode 4 (TM4) of the LTE standard (out of a possible 9 transmission modes specified in 3GPP TS 36 211 v10, 2010-12).\r\n <\/p>\r\n

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Why LTE?<\/b><\/p>\r\n

\"4G\" (fourth generation) and \"LTE\" are all the rage these days with wireless service providers, and for good reason. Download\r\n speeds on LTE networks are approaching home DSL service levels, with the promise of even greater speeds with LTE-Advanced<\/a> (100+ Mbps for high mobility users, and 1+ Gbps for low mobility). But these speeds come at a price. It takes a very complex\r\n system to deliver 100 Mbps to someone traveling at 120km\/h (75mph), and LTE uses the combination of a few sophisticated technologies\r\n to achieve this.\r\n <\/p>\r\n

First, the available bandwidth per user is increased from 5MHz in 3G systems to 20MHz in LTE, and up to 100MHz in LTE-Advanced.\r\n But that's not enough to get us to our desired data rates. LTE also uses multiple antenna (MIMO) systems to increase channel\r\n capacity, and increases bandwidth efficiency by using OFDM<\/a> as an interface. To provide \"error free\" communications across wireless links, we employ error correcting codes<\/a>; turbo codes<\/a> are the codes of choice for LTE.\r\n <\/p>\r\n

The model in this submission includes all of these critical components: turbo coding, OFDM modulation, and MIMO channels.\r\n It implements 2x2 and 4x4 MIMO transmission modes (i.e. 2 transmit, 2 receive, or 4 transmit, 4 receive antennas). When using\r\n the model, you can select different modes of operation using the \"Model Parameters\" block at the top level (the yellow block\r\n in the figure above).\r\n <\/p>\r\n

This example should provide a nice guide to anyone looking to implement similar models in Simulink: LTE, WiMAX, or generally\r\n any modern OFDM-based communication system. The model can also be used a base for doing further development. Some additions\r\n to this model could include support for adaptive modulation rates, carrier aggregation, and multi-user simulations.\r\n <\/p>\r\n

As always, your comments<\/a> here are greatly appreciated.\r\n <\/p>