On the Performance of Splitting Receiver With Joint Coherent and Non-Coherent Processing

Abstract

In this paper, we revisit a recently proposed receiver design, named the splitting receiver, which jointly uses coherent and non-coherent processing for signal detection. By considering an improved signal model for the splitting receiver as compared to the original study in the literature, we conduct a performance analysis on the achievable data rate under Gaussian signaling and obtain a fundamentally different result on the performance gain of the splitting receiver over traditional receiver designs that use either coherent or noncoherent processing alone. Specifically, the original study ignored the antenna noise and concluded on a 50% gain in achievable data rate in the high signal-to-noise ratio (SNR) regime. In contrast, we include the antenna noise in the signal model and show that the splitting receiver improves the achievable data rate by a constant gap in the high SNR regime. This represents an important correction of the theoretical understanding on the performance of the splitting receiver. In addition, we examine the maximum-likelihood detection and derive a low-complexity detection rule for the splitting receiver for practical modulation schemes. Our numerical results give further insights into the conditions under which the splitting receiver achieves significant gains in terms of either achievable data rate or detection error probability.

On the Latency, Rate, and Reliability Tradeoff in Wireless Networked Control Systems for IIoT

“…By representing the decoding-error probability with the data rate R and the blocklength n in Proposition 4, i.e., taking (5) into (46) and (47), we numerically present the upper and lower bounds of the average cost function in terms of R and n. Unless otherwise stated, we set SNR = 3 dB, a = 1.01, Ξ(0) = 10 5 , L = 10 2 and σ 2 W = 10 −10 [11]. For the configuration of the data rate R, the blocklength (latency) n, and the reliability , we follow the pioneer work of finite blocklength information theory [22], where R ∈ [0, 3.5], n ∈ [1,1000], and ∈ [10 −6 , 10 −3 ].…”

“…Based on Definition 1, by taking (5) into Lemma 1, we have the stability region of the plant in terms of the design parameters (n, R) of the communication system. Corollary 1.…”

“…Taking (5) into Theorem 1, the sufficient and necessary stability regions in terms of (n, R) can be obtained. Similar to Proposition 1, we can obtain the following property of the stability region.…”

A Splitting-Detection Joint-Decision Receiver for Ultrasonic Intra-Body Communications

“…• We analyze the channel capacity and BER of SDSD and SDJD receivers in intra-bady fading channels. The specific receiver design, signal processing and analysis are different from the previous studies [23], [24] as the ultrasonic pulses are fundamentally different from the continuous RF waves. The optimal splitting ratios that achieve the lowest BER for SDSD and SDJD receivers are also analyzed by considering the effect of channel fading.…”

“…To achieve the optimal reception, the receiver should adopt both CD and ED to detect all DoFs [20], [21]. A recently proposed splitting receiver adopts independent CD and ED receivers to process received signals simultaneously, and such a receiver generates two independent decision vectors that can be used to estimate the received RF signals [22]- [24]. This splitting-detection separate-decision (SDSD) receiver can achieve higher rate and lower bit-error rate (BER) than the CD or ED receiver in high SNR regimes.…”