Streamlined Swift Allocation Strategies for Radio Stripe Networks

This paper proposes the use of an access point (AP) selection scheme to improve the total uplink (UL) spectral efficiency (SE) of a radio stripe (RS) network. This scheme optimizes the allocation matrix between the total number of APs' antennas and users' equipment (UEs) while considering two state-of-the-art and two newly proposed equalization approaches: centralized maximum ratio combining (CMRC), centralized optimal sequence linear processing (COSLP), sequential MRC (SMRC), and parallel MRC (PMRC). The optimization problem is solved through a low-complexity and adaptive genetic algorithm (GA) which aims to output an efficient solution for the AP-UE association matrix. We evaluate the proposed schemes in several network scenarios in terms of SE performance, convergence speed, computational complexity, and fronthaul signalling capacity requirements. The COSLP exhibits the best SE performance at the expense of high computational complexity and fronthaul signalling. The SMRC and PMRC are efficient solutions alternatives to the CMRC, improving its computational complexity and convergence speed. Additionally, we assess the adaptability of the MRC schemes for two different instances of network change: when a new randomly located UE must connect to the RS network and when a random UE is removed from it. We have found that in some cases, by reusing the allocation matrix from the original instance as an initial solution, the SMRC and/or the PMRC can significantly boost the optimization performance of the GA-based AP selection scheme.

Joint Channel Estimation and Synchronization Techniques for Time Interleaved Block Windowed Burst OFDM

From a conceptual perspective, 5G technology promises to deliver low latency, high data rate and more reliable connections for the next generations of communication systems. To face these demands, modulation schemes based on Orthogonal Frequency Domain Multiplexing (OFDM) can accommodate these requirements for wireless systems. On the other hand, several hybrid OFDM-based systems such as the Time-Interleaved Block Windowed Burst Orthogonal Frequency Division Multiplexing (TIBWB-OFDM) are capable of achieving even better spectral confinement and power efficiency. This paper addresses to the implementation of the TIBWB-OFDM system in a more realistic and practical wireless link scenarios by addressing the challenges of proper and reliable channel estimation and frame synchronization. We propose to incorporate a preamble formed by optimum correlation training sequences, such as the Zadoff-Chu (ZC) sequences. The added ZC preamble sequence is used to jointly estimate the frame beginning, through signal correlation strategies and a threshold decision device, and acquire the channel state information (CSI), by employing estimators based on the preamble sequence and the transmitted data. The employed receiver estimators show that it is possible to detect the TIBWB-OFDM frame beginning and provide a close BER performance comparatively to the one where the perfect channel is known.