动态调谐通道分解应用于可重构MIMO发射接收器设计

需积分: 9 98 浏览量更新于2024-09-25 收藏 212KB PDF 举报

在现代无线通信领域，随着频谱资源日益紧张和更多服务需求融入移动设备，寻找有效的解决方案变得尤为重要。多输入多输出（MIMO）技术和认知无线电技术的结合，为解决这一挑战提供了新的途径。本文由Jing Wang和Gerald E. Sobelman两位专家来自明尼苏达大学电气与计算机工程系，他们提出了一种新颖的可重构MIMO发射接收机设计策略，名为可调通道分解（Tunable Channel Decomposition, TCD）。 Tunable Channel Decomposition是一种将多个天线资源分配到不同频率带的技术，通过这种方式，系统能够针对一系列具有特定比特率限制的服务进行优化。它的核心在于根据现有的频率带和需要传输的服务类型，动态地分割天线通道，从而实现子通道的定制化，确保每个服务都能获得所需的增益。这种灵活性使得系统能够在保证服务质量（Quality of Service, QoS）的同时，降低发射功率，节省能源。该研究中，作者开发了一种可重构的闭环传输接收器设计，它能够适应各种频带划分场景，具有高度的适应性和效率。这种设计通过实时调整其内部结构，能够无缝对接不同的频谱配置，从而确保在提供多种服务的同时，维持良好的信号质量和传输效率。该研究的关键技术包括： 1. **可重构性**：设计允许在运行时根据需求变化动态调整其硬件配置，这在快速变化的无线环境中是非常有价值的特性。 2. **Tunable Channel Decomposition**：这是一种创新的频谱管理策略，通过调整天线阵列的响应，实现在同一频段内创建多个独立的信息通道。 3. **质量保证**：通过对QoS的精确控制，确保用户的服务体验不受影响，尤其是在竞争性通信环境中。 4. **功率优化**：通过减少不必要的发射功率，提高能源利用效率，这对于能源有限的移动设备尤为重要。这项工作为解决频谱稀缺问题提供了一个前沿的解决方案，通过结合MIMO技术和Tunable Channel Decomposition，有望推动无线通信系统的性能提升和资源利用率的优化。这对于未来无线通信网络的规划和设计具有重要的实践意义。

Reconfigurable MIMO Transceiver Design using the

Tunable Channel Decomposition

Jing Wang and Gerald E. Sobelman

Department of Electrical and Computer Engineering

University of Minnesota

Minneapolis, MN 55455 USA

Abstract—Available spectrum resources are becoming scarcer,

while additional services are being integrated into wireless

devices. Cognitive radio and multiple-antenna (MIMO)

techniques can be combined to provide a solution to this dilemma.

Given the currently available frequency bands and a set of bit-

rate constrained services to be transmitted, the antennas can be

partitioned among frequency bands and the recently proposed

tunable channel decomposition (TCD) may be applied to obtain

subchannels having prescribed gains. We present a

reconfigurable closed-loop transceiver design which can adapt to

various partitioning scenarios. As a result, our system has the

potential to deliver the required services with reduced

transmitting power.

Keywords – Reconfigurable, multiple-input multiple-output,

MIMO, transceiver, cognitive radio, quality-of-service, QoS,

tunable channel decomposition, TCD.

I. INTRODUCTION

With the ever-increasing demand for more versatile and

multi-functional mobile devices, new types of services are

being integrated into modern wireless systems, which will

require additional bandwidth and power consumption.

However, the available spectrum resources are scarce and very

expensive, thus placing considerable constraints on the services

that can be added onto a system. What’s more, these services

usually have different quality-of-service (QoS) constraints

requiring different transmission bit-rates. How to satisfy these

disparate QoS constraints in a power efficient way is a

significant issue, given that power consumption is a critical

parameter in modern mobile devices. To address these

challenges, cognitive radio and multiple-antenna (MIMO)

techniques may be applied.

Cognitive radio may utilize a software defined radio (SDR)

in which some or all of the physical layer functions are

determined with software or other reconfigurable techniques [1]

[2]. A cognitive radio is adaptable in the sense that it is aware

of its environment and can adjust its operation according to

dynamic changes in the local spectral conditions [3]. In the

system described here, we assume that it can determine the

currently available frequency bands and adapt itself

accordingly. In other words, our system can make use of

certain frequency bands found through spectrum sensing during

a specific time period, i.e. when they are not occupied in the

local area by the licensed or primary users [4].

Given one or more available frequency bands, the next step

is to accommodate the required services in such a way that the

system consumes the least amount of power. Considering

several services sharing the same channel, one possible

solution is MIMO technology which has already been widely

adopted [5] [6]. Assuming that channel state information (CSI)

is available at both the receiver (CSIR) and at the transmitter

(CSIT), channel decomposition methods can be applied to

divide the channel into multiple independent parallel

subchannels, each of which can then be used for a specific

service. It is well-known that the singular value decomposition

(SVD) and the water-filling technique can be combined

together to achieve the channel capacity [7] [8]. However, the

gains of the subchannels obtained by the SVD are determined

by the singular values of the channel matrix and cannot be

adjusted by the user. This aspect makes it less suitable for

transmitting the QoS-constrained services [9]. Instead, we use

another method called the Tunable Channel Decomposition

(TCD) which was proposed in [10] and which can decompose a

MIMO channel into an arbitrary number of subchannels having

prescribed capacities. The TCD scheme can ensure minimal

power consumption for transmitting a group of QoS-

constrained services in a single MIMO system [10].

Given that the TCD scheme can offer the minimal power

solution in a single MIMO system, what we need to do in our

system is to find the best way to: 1) group antennas together

onto different frequency bands to form subsystems, if

necessary; 2) partition the required services onto the

subsystems. Then, applying the TCD scheme to each

subsystem should result in a power efficient solution. Prior

work has established the algorithmic basis for this approach

[11]. In this paper, we will present the hardware architecture

design for such a system. Specifically, we will present a

reconfigurable MIMO transceiver which can operate as either a

single MIMO system or as two MIMO subsystems, all of them

using the TCD. Thus, this transceiver can provide the flexible

hardware that is necessary for achieving minimum power

operation.

The remainder of this paper is organized as follows: Section

II briefly reviews the TCD scheme that achieves minimal

power in a single MIMO system. The reconfigurable MIMO

transceiver design is presented in Section III. Section IV gives

the simulation and synthesis results, and Section V presents our

conclusions.

This work was supported in part by the U.S. National Science Foundation under

grant number ECS-0621879.

下载后可阅读完整内容，剩余3页未读，立即下载

bsdush

粉丝: 0
资源: 8

动态调谐通道分解应用于可重构MIMO发射接收器设计

Design and Applications of Frequency Tunable and Reconfigurable Metamaterials

Reconfigurable optical interleaver modules with tunable wavelength transfer matrix function using polymer photonics lightwave circuits

A Reconfigurable FM-UWB Transceiver for Short-Range Wireless Communications

All-optically reconfigurable and tunable fiber surface grating for in-fiber devices: a wideband tunable filter

Sub-nanosecond-speed frequency-reconfigurable photonic radio frequency switch using a silicon modulator

Design of a hybrid reconfigurable coprocessor

Cognitive-Radio-Experiments-using-Reconfigurable-_Reconfigurable

System Level Design of Reconfigurable Systems on Chip

Design of a Modular Self-Reconfigurable Robot

（可重构）RECONFIGURABLE Computing--THE THEORY AND PRACTICE OFFPGA-BASEDCOMPUTATION

最新资源