多用戶大規(guī)模MIMO系統(tǒng)能效資源分配算法

胡瑩; 黃永明; 俞菲; 楊綠溪

doi:10.11999/JEIT150088

多用戶大規(guī)模MIMO系統(tǒng)能效資源分配算法

doi: 10.11999/JEIT150088

2.
(東南大學(xué)信息科學(xué)與工程學(xué)院南京 210096) ②(江蘇科技大學(xué)電子信息學(xué)院鎮(zhèn)江 212003)

基金項(xiàng)目:

國家自然科學(xué)基金(61372101, 61271018, 612001176, 61201172, U1404615)，國家科技重大專項(xiàng)(2011ZX03003-003-03, 2012ZX 03004-005-003, 2013ZX03003006-002)，江蘇省科技計(jì)劃項(xiàng)目(BE2012167, BK2011019)，教育部博士點(diǎn)新教師基金(20100092110010)和毫米波國家重點(diǎn)實(shí)驗(yàn)室開放課題基金(K201504)

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出版歷程
- 收稿日期: 2015-01-15
- 修回日期: 2015-05-12
- 刊出日期: 2015-09-19

Energy-efficient Resource Allocation Based on Multi-user Massive MIMO System

2.
(School of Information Science and Engineering, Southeast University, Nanjing 210096, China)

摘要

摘要: 該文針對(duì)多用戶大規(guī)模多輸入多輸出(MIMO)移動(dòng)通信上行系統(tǒng)，提出一種基于能效優(yōu)化的資源分配算法。所提方法在采用最大比合并(MRC)接收情況下，滿足用戶數(shù)據(jù)速率和可容忍的干擾水平約束條件下，以最大化系統(tǒng)能效下界為準(zhǔn)則建立優(yōu)化模型。根據(jù)分?jǐn)?shù)規(guī)劃的性質(zhì)，把原始的分?jǐn)?shù)最優(yōu)化問題轉(zhuǎn)換成減式的形式，進(jìn)而采用凸優(yōu)化的方法，通過聯(lián)合調(diào)整基站端的發(fā)射天線數(shù)和用戶的發(fā)射功率來優(yōu)化能效函數(shù)。仿真結(jié)果表明，所提算法與窮舉算法在能效上的差距不足9%，并且有較好的系統(tǒng)頻譜效率性能，同時(shí)算法復(fù)雜度得到了顯著降低。
- 無線通信 /
- 大規(guī)模多輸入多輸出 /
- 多用戶 /
- 資源分配 /
- 上行系統(tǒng) /
- 能效
Abstract: An energy-efficient resource allocation scheme is proposed for multi-user massive MIMO mobile communication uplink system. A mathematical formulation of optimization issue is provided with the objective of maximizing system energy efficiency lower bound under the data rate of user and tolerable interference level constraint, meanwhile the Base Station (BS) uses a Maximum-Ratio Combining (MRC) receiver. By transforming the originally fractional optimization problem into an equivalent subtractive form using the properties of fractional programming, then convex optimization is adopted to maximize the energy efficiency. Specifically, both the numbers of antenna arrays at the BS and the transmit data rate at the user are adjusted. Simulation results show that the energy-efficiency difference between the proposed algorithm and the exhaustive algorithm is less than 9%, at the same time, the performance of spectral-efficiency of the proposed algorithm is very well and the complexity is significantly reduced.
- Wireless communication /
- Massive MIMO /
- Multi-user /
- Resource allocation /
- Uplink system /
- Energy- efficiency

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參考文獻(xiàn)(24)

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