Compressed sensing based ACK feedback for grant-free uplink data transmission in 5G mMTC
Compressed sensing based ACK feedback for grant-free uplink data transmission in 5G mMTC
复制标题
基于压缩感知的 ACK 反馈，用于 5G mMTC 中的无授权上行链路数据传输
DOI：
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发表时间：
2016
期刊：
影响因子：
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通讯作者：
Jian Zhang
中科院分区：
文献类型：
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作者：
Xianjun Yang;Xin Wang;Jian Zhang
5G三种关键使用场景之一是大规模机器类型通信(MMTC)，其特点是连接的设备数量非常多，通常传输相对较少的非延迟敏感数据。为了支持上述MMTC通信，提出了免授权数据传输(GFDT)，其中MMTC设备没有专用传输资源。GFDT面临的挑战之一是确保通信的可靠性，而有效的确认(ACK)反馈可以提高通信的可靠性。利用MMTC中用户活动的稀疏性，提出了一种基于压缩感知的GFDT应答反馈(CSAF)方案，以降低反馈信令开销。此外，我们还提出了一种新的CS恢复算法，称为正则化近似消息传递(RAMP)，以提高CSAF在低信噪比情况下的检测性能。仿真结果表明，与传统方法相比，基于RAMP算法的CSAF方案减少了高达75.6%的反馈信令开销，检测性能提升高达3dB。
One of the three 5G key usage scenarios is massive machine type communication (mMTC), which is characterized by a very large number of connected devices typically transmitting a relatively low volume of non-delay sensitive data. To support the above mMTC communication, grant-free data transmission (GFDT) has been proposed, where mMTC devices have no dedicated transmission resource. One of the challenges faced by GFDT is to ensure the communication reliability, which can be enhanced by efficient acknowledgement (ACK) feedback. By exploiting the sparsity of user activity in mMTC, this paper proposes a compressed sensing based ACK feedback (CSAF) scheme for GFDT, to reduce the feedback signaling overhead. Furthermore, we propose a new CS recovery algorithm, named as regularized approximate message passing (RAMP), to improve the detection performance of CSAF in low SNR scenario. Simulation results show that, compared with the traditional method, the proposed CSAF scheme with the proposed RAMP algorithm reduces the feedback signaling overhead by up to 75.6% and has up to 3dB detection performance gain.