“…It is worth mentioning that transmission over a MAC with full cooperation achieves the outer bound and thus the capacity. 2,35 This means that there is no transmission scheme that can achieve better than the MAC with full cooperation. In this transmission scheme, as illustrated in Figure 4, the two relays simultaneously forward to the destination such that the achievable rate region is given by 28,36…”
“…The proof can be simply obtained by following the transmission in the two phases, as shown before. Specifically, the subrates are shown in (2) and (12).…”
SummaryThis paper introduces a new multiuser communication model, which we call multiple access diamond channel. In this channel model, many sources transmit their signals to a destination in the case of no direct links between the end terminals. Therefore, we employ two parallel relays to extend transmission to the destination. Further, we specifically characterize two different transmission schemes along with their respective achievable rate regions. Then, we develop an outer bound to the transmission in each scheme. Moreover, we present many numerical examples to mainly compare between the two different transmission schemes and to distinguish the case for which we attain the capacity region.
“…It is worth mentioning that transmission over a MAC with full cooperation achieves the outer bound and thus the capacity. 2,35 This means that there is no transmission scheme that can achieve better than the MAC with full cooperation. In this transmission scheme, as illustrated in Figure 4, the two relays simultaneously forward to the destination such that the achievable rate region is given by 28,36…”
“…The proof can be simply obtained by following the transmission in the two phases, as shown before. Specifically, the subrates are shown in (2) and (12).…”
SummaryThis paper introduces a new multiuser communication model, which we call multiple access diamond channel. In this channel model, many sources transmit their signals to a destination in the case of no direct links between the end terminals. Therefore, we employ two parallel relays to extend transmission to the destination. Further, we specifically characterize two different transmission schemes along with their respective achievable rate regions. Then, we develop an outer bound to the transmission in each scheme. Moreover, we present many numerical examples to mainly compare between the two different transmission schemes and to distinguish the case for which we attain the capacity region.
“…At the end of this phase, due to channel degradedness, the cognitive transmitter may decode either the primary signal or the common interference signal. We note that the case of partial listening, decoding, and then encoding were studied in many different scenarios in [23, 31, 32]. In the second phase, which lasts for symbols, the cognitive transmitter can encode its signal by considering the decoded signal from the first phase as an available state.…”
Section: Achievable Rate Region Of the Ics With Causal Noisy Observmentioning
“…By its turn, Zanko, Leshem and Zehavi [7] explore the problem of rate allocation for multicasting over slow Rayleigh fading channels using network coding, where the network is seen as a collection of Rayleigh fading MACs. Al-qudah and Bataineh [8] have addressed the Gaussian MAC in which two users may exchange their messages at first and then The Ad Hoc Associate Editor coordinating the review of this manuscript and approving it for publication was Prof. Renato Machado.…”
Abstract-This article introduces and tests the use of the softoutput Viterbi algorithm in decoding pairs of messages encoded with convolutional encoders and sent through a two-user binary adder channel in the presence of additive white Gaussian noise. Curves relating bit error rate versus signal to noise ratio are presented for each user, for assessing the performance of distinct convolutional codes when each constituent encoder employs either a two-stage or a three-stage shift-register.
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