The Impact of Efficient Transport Blocks Management on the Downlink Power in MIMO Spatial Multiplexing of LTE-A
| Autor: | Xian Liu, Bilal Al-Doori |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Modulation order
Computer science Applied Mathematics Real-time computing MIMO 020302 automobile design & engineering 020206 networking & telecommunications Throughput 02 engineering and technology Multiplexing Radio spectrum Spatial multiplexing LTE Advanced 0203 mechanical engineering Modulation Signal Processing Telecommunications link 0202 electrical engineering electronic engineering information engineering Electronic engineering Electrical and Electronic Engineering Throughput (business) Communication channel Block (data storage) |
| Zdroj: | IEEE Signal Processing Letters. 23:1796-1800 |
| ISSN: | 1558-2361 1070-9908 |
| DOI: | 10.1109/lsp.2016.2622479 |
| Popis: | Radio spectrum for mobile operators is an expensive resource that should be wisely provisioned to meet users’ demands. In long term evolution-advanced, the number of physical resource blocks (PRBs) are used to gauge the users’ needs. Accordingly, there is a time in the network when it is beneficial to gain the advantages of consuming the unused PRBs in the transport block (TB) context to operate at a significantly lower power cost per PRB. The novelty of the letter is that the $3\text{rd}$ generation partnership project (3GPP) standard tables are used with multiple-input-multiple-output (MIMO) spatial multiplexing mode, to control the transport block size (TBS) index. This can be done by setting more PRBs and hence changing the modulation order that leads to reducing the transmitted power. In addition to that, MIMO layers, the prerequisite throughput, the intercell interference as well as the channel conditions of each user are considered as constraints to improve the downlink power efficiency. To describe the abovestated problem, an optimization problem is formulated as binary integer nonlinear program, which is very difficult to solve. Thus, a reformulation linearization technique based on a branch-and-bound framework is used to simplify the aforementioned BINLP. |
| Databáze: | OpenAIRE |
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