Avoidance or Alignment: Interference Mitigation Strategies for Wireless Communications
避免或调整:无线通信的干扰缓解策略
基本信息
- 批准号:RGPIN-2014-05061
- 负责人:
- 金额:$ 2.26万
- 依托单位:
- 依托单位国家:加拿大
- 项目类别:Discovery Grants Program - Individual
- 财政年份:2014
- 资助国家:加拿大
- 起止时间:2014-01-01 至 2015-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Wireless communications is transforming society, enabling rapid growth in developing areas without infrastructure and removing barriers. The proliferation of over 1 billion mobile devices (smart phones, etc.) represent convergence of computing and telecommunications. While such devices are capable of operating at very high transmission rates, networks operate in reality at rates orders of magnitude slower. This gap is growing as mobile broadband data traffic is projected to increase by a factor of 18 over the next 3 years. The proposed research program investigates key signal processing techniques that address limitations on spectrum efficiency due to multi-user interference. Nearer term research efforts aim to avoid interference by organizing transmissions orthogonally over time, frequency, and space. Traditionally, frequencies may be spatially reused by shrinking network cell sizes. However, servicing spatially non-uniform user traffic (hot spots) requires the overlapping of different cell types. The resulting heterogeneous networks challenge orthogonality. Multiple antenna systems, known as multiple-input multiple-output (MIMO) systems, may achieve directional transmission via beamforming and/or multiplex multiple data streams via space-time coded transmission. In the shorter term, we aim to maintain user orthogonality and achieve more opportunistic and dynamic use of spectrum. We propose to better identify time periods of unused spectrum via decision theory and optimization. The knowledge gained would then be applied to interference avoidance with large potential payoffs for emerging products and standards. First, we plan to develop true two-sided sequential statistical tests to more efficiently detect both appearance and absence of users over time, frequency and space. Next, we seek distributed solutions with minimum communication overhead and sensor observation energy expenditure. A parallel investigation will address increasing spectrum efficiency by reducing signaling overhead. Increasingly, advanced methods exploit channel state information, that is typically assumed to be constant over short periods, i.e., quasi-static. In the short to medium term we propose new “predictive training” methods that account for predictable channel variations. Here, we plan to extend and generalize our recently developed approach to channel estimation by taking advantage of physical properties of mobile wireless signal transmission including bandlimited fading and Doppler effects in MIMO systems. In the longer term, we aim to disrupt the interference avoidance paradigm for orthogonal transmission by advanced signal processing that achieves interference alignment (IA). This is in contrast to conventional multi-user interference cancellation that costs a spatial dimension (antenna) per interferer, or to multi-user detection that must jointly decode all user signals. In IA, user signals from different transmitters are processed to project interference onto reduced-dimension subspaces to regain lost orthogonality. Under idealized conditions of low noise levels, systems employing IA have the potential to increase throughput proportionally with numbers of users, i.e., interference becomes a benefit! However, practical realization of IA requires highly accurate channel state information, including timing and frequency synchronization. We plan to study performance limitations and propose realizable IA algorithms at finite SNR that incorporate novel approaches to channel estimation, multiple timing and frequency offset recovery. Here, we plan to leverage our extensive recent research on channel estimation and training of imperfectly synchronized multiple relay networks, which shares key “multiple access” features with the IA problem.
无线通信正在改变社会,使没有基础设施的发展中地区实现快速增长,并消除障碍。超过10亿的移动设备(智能手机等)的激增代表了计算和电信的融合。虽然这些设备能够以非常高的传输速率运行,但实际上网络的传输速率要慢得多。这一差距正在扩大,因为预计未来3年移动宽带数据流量将增长18倍。提出的研究计划调查关键信号处理技术,以解决由于多用户干扰而导致的频谱效率限制。近期的研究目标是通过在时间、频率和空间上正交地组织传输来避免干扰。传统上,通过缩小网络单元的大小,可以在空间上重用频率。然而,服务空间上不均匀的用户流量(热点)需要不同小区类型的重叠。由此产生的异构网络挑战了正交性。多天线系统,即多输入多输出(MIMO)系统,可以通过波束成形和/或通过时空编码传输实现多路数据流的定向传输。在短期内,我们的目标是保持用户正交性,并实现更多的机会和动态使用频谱。我们提出了通过决策理论和优化来更好地识别未使用频谱的时间段。然后,所获得的知识将应用于避免干扰,为新兴产品和标准带来巨大的潜在回报。首先,我们计划开发真正的双侧顺序统计测试,以更有效地检测用户随时间、频率和空间的出现和不存在。接下来,我们寻求具有最小通信开销和传感器观测能量消耗的分布式解决方案。一项平行研究将通过减少信号开销来提高频谱效率。越来越多的先进方法利用通道状态信息,这些信息通常被认为在短时间内是恒定的,即准静态。在中短期内,我们提出了新的“预测训练”方法来解释可预测的渠道变化。在这里,我们计划利用移动无线信号传输的物理特性,包括MIMO系统中的带宽限制衰落和多普勒效应,扩展和推广我们最近开发的信道估计方法。从长远来看,我们的目标是通过先进的信号处理来实现干扰对准(IA),从而打破正交传输的干扰避免范式。这与传统的多用户干扰消除(每个干扰需要一个空间维度(天线))或必须共同解码所有用户信号的多用户检测形成对比。在IA中,对来自不同发射机的用户信号进行处理,将干扰投影到降维子空间上,以恢复失去的正交性。在低噪声水平的理想条件下,采用IA的系统有可能与用户数量成比例地增加吞吐量,即干扰成为一种好处!然而,IA的实际实现需要高度精确的信道状态信息,包括时序和频率同步。我们计划研究性能限制,并在有限信噪比下提出可实现的IA算法,该算法结合了信道估计,多重时序和频率偏移恢复的新方法。在这里,我们计划利用我们最近在信道估计和非完全同步多中继网络训练方面的广泛研究,这与IA问题具有关键的“多址”特征。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Blostein, Steven其他文献
Systematic network coding for two-hop lossy transmissions
- DOI:
10.1186/s13634-015-0273-3 - 发表时间:
2015-11-14 - 期刊:
- 影响因子:1.9
- 作者:
Li, Ye;Blostein, Steven;Chan, Wai-Yip - 通讯作者:
Chan, Wai-Yip
Blostein, Steven的其他文献
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{{ truncateString('Blostein, Steven', 18)}}的其他基金
Wireless Communications and Signal Processing for the Internet of Things
物联网无线通信和信号处理
- 批准号:
RGPIN-2019-06237 - 财政年份:2022
- 资助金额:
$ 2.26万 - 项目类别:
Discovery Grants Program - Individual
Wireless Communications and Signal Processing for the Internet of Things
物联网无线通信和信号处理
- 批准号:
RGPIN-2019-06237 - 财政年份:2021
- 资助金额:
$ 2.26万 - 项目类别:
Discovery Grants Program - Individual
Wireless Communications and Signal Processing for the Internet of Things
物联网无线通信和信号处理
- 批准号:
RGPIN-2019-06237 - 财政年份:2020
- 资助金额:
$ 2.26万 - 项目类别:
Discovery Grants Program - Individual
Wireless Communications and Signal Processing for the Internet of Things
物联网无线通信和信号处理
- 批准号:
RGPIN-2019-06237 - 财政年份:2019
- 资助金额:
$ 2.26万 - 项目类别:
Discovery Grants Program - Individual
Avoidance or Alignment: Interference Mitigation Strategies for Wireless Communications
避免或调整:无线通信的干扰缓解策略
- 批准号:
RGPIN-2014-05061 - 财政年份:2018
- 资助金额:
$ 2.26万 - 项目类别:
Discovery Grants Program - Individual
Avoidance or Alignment: Interference Mitigation Strategies for Wireless Communications
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- 批准号:
RGPIN-2014-05061 - 财政年份:2017
- 资助金额:
$ 2.26万 - 项目类别:
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