… In the context of cellfree/distributed massive MIMO systems, this channel mapping can be …
the new concept of channel mapping in space and frequency, where the channels at one set of …

… mapping function when the position-to-channel mapping is … uplink-to-downlink mapping
function. Different from general … to learn the complex-valued mapping function by off-line training. …

… shown in the overview map in Fig. 2. A number of routes are indicated on the map, each
denoted by a letter. The map also indicates the location of the massive array which is mounted …

… In fact, it can be shown that finding a MAP estimate of w with the prior (22) is equivalent to
finding … Since directly finding the aforementioned MAP estimate of w is difficult, SBL methods …

… In addition, fast channel variation renders the real time … downlink channel prediction scheme
for FDD mMIMO, which requires only the TDD overhead. Specifically, the downlink channel …

… In contrast to the traditional approach where the channel state information (CSI) is estimated
… , which maps the received pilots directly into feedback bits at the user side then maps the …

… (CGAN) approach to uplinkto-downlink mapping of both CCMs and CSI. To apply this …
sizes for both CCM and CSI mapping. For uplink-to-downlink CSI mapping, we also examine the …

… Alkhateeb, “Deep learning for TDD and FDD massive MIMO: Mapping channels in space
and frequency,” 2019, arXiv:1905.03761. [Online]. Available: http://arxiv.org/abs/1905.03761 [14…

… Alkhateeb, “Deep learning for TDD and FDD massive MIMO: Mapping channels in space
and frequency,” 2019, arXiv:1905.03761. [Online]. Available: http://arxiv.org/abs/1905.03761 [27…

… We study its performance for various state-of-the-art Massive MIMO channel models, and,
even more so, evaluate the scheme using actual Massive MIMO channel measurements, …