On the performance of cooperative relaying protocols in wireless networks

Abstract

SUMMARYCooperative relaying recently emerged as a viable option for future wireless networks. By simultaneously exploiting path loss savings known from relaying scenarios and the diversity inherent to any scheme involving spatially separated transmitters, this technique is able to leverage gains from both relaying and spatial diversity techniques. In this paper, we study different cooperative relaying protocols and compare their performance with that of direct transmission and conventional relaying. We investigate under which conditions the developed techniques provide gains over other approaches. Our results confirm that cooperative relaying is an effective means of enhancing the performance of wireless systems whenever temporal and frequency diversity is scarce.

Saturation Throughput Gain in Fixed Multiplexing Radio Networks with Cooperative Retransmission Protocols

“…This result is consistent with numerous other publications that have demonstrated the benefits of cooperative communications in channels with poor signal-to-noise ratio [2], [6], [8], [9], [10]. …”

Cooperative ARQ: A Medium Access Control (MAC) Layer Perspective

“…C-ARQ schemes have been so far analyzed from a fundamental point of view and mainly with emphasis on the PHY layer (Dianati et al 2006;Zimmermann et al, 2004;Zimmermann et al, 2005;Gupta et al, 2004;Cerruti et al, 2008;Morillo-Pozo et al, 2005). These previous works put in evidence that C-ARQ schemes can yield an improvement in performance, lower energy consumption, and interference, as well as an extended coverage area by allowing communication at low Signal to Noise Ratios (SNRs).…”

Feedback-Based Closed-Loop Carrier Synchronization: A Sharp Asymptotic Bound, an Asymptotically Optimal Approach, Simulations, and Experiments

“…One approach is to utilize neighboring nodes as relays [24], [25], [26] as proposed by Cover and El Gamal [27]. Cooperative transmission is then achieved by multihop [28], [29], [30] or data flooding [31], [32], [33], [34] approaches.…”