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Cell-free massive MIMO (mMIMO) has two distinctive advantages: first is, macrodiversity from large numbers of distributed access points and second, interference cancellation from cellular mMIMO is envisioned to be next-generation wireless technology for beyond 5G. However, its practical deployment is extremely challenging due to large numbers of long cables (economic perspective) and network synchronisation. Cell-free mMIMO system based on radio stripe (CFMMRS) network is one such architecture of cell-free mMIMO suitable for practical deployment. This study proposes DNN-based distributed sequential uplink processing for detecting symbols in the uplink of CFMMRS network architecture. Simulation results show that the proposed algorithm outperforms the traditional iterative soft interference cancellation-based detection method. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

In the Internet of Things (IoT) scenario, many devices will communicate in the presence of the cellular network; the chances of availability of spectrum will be very scary given the presence of large numbers of mobile users and large amounts of applications. Spectrum prediction is very encouraging for high traffic next-generation wireless networks, where devices/machines which are part of the Cognitive Radio Network (CRN) can predict the spectrum state prior to transmission to save their limited energy by avoiding unnecessarily sensing radio spectrum. Long short-term memory (LSTM) is employed to simultaneously predict the Radio Spectrum State (RSS) for two-time slots, thereby allowing the secondary node to use the prediction result to transmit its information to achieve lower waiting time hence, enhanced performance capacity. A framework of spectral transmission based on the LSTM prediction is formulated, named as positive prediction and sensing-based spectrum access. The proposed scheme provides an average maximum waiting time gain of 2.88 ms. The proposed scheme provides 0.096 bps more capacity than a conventional energy detector.

Summary Cell‐free mMIMO (massive multiple input multiple output) is slated to be beyond 5G (B5G) wireless technology, given the attractive features it offers, higher spectral efficiency, higher‐energy efficiency, and superior spatial diversity. However, large numbers of long cables between each access point (AP) and central processing unit (CPU) (front haul requirements) mar its practical adoption. Radio stripe is one such architecture of cell‐free mMIMO suitable for practical deployment. In this work, we derive the closed‐form expression of probability of outage in the uplink of Cell‐Free mMIMO System Based on Radio Stripe (CFMMSBRS) and coverage probability in the downlink of CFMMSBRS, respectively. We employ, Welch–Satterthwaite approximation for accurate approximation of sum of independent gamma random variables with different shape and rate parameter. Results indicate that both outage and coverage achieved good performance especially when numbers of APs L in radio stripe network are greater than numbers of user equipments (UEs) K in the network.