Joint Transmit-and-Receive Antenna Selection System for MIMO-NOMA With Energy Harvesting

Abstract

In this paper, outage probability (OP) of a joint transmit and receive antenna selection (JTRAS) scheme is analyzed in multiple-input multiple-output non-orthogonal multiple access based downlink energy harvesting (EH) relaying networks. In this dual-hop and amplify-andforward relaying based network, since the first and second hops are types of single-user and multi-user systems, respectively, the optimal JTRAS and suboptimal majority-based JTRAS schemes are employed in the first and second hops. The theoretical OP analysis is carried out over Nakagami-m fading channels in the cases of perfect and imperfect successive interference cancellation. Finally, Monte Carlo simulations are performed to substantiate the accuracy of the theoretical analysis. It is shown that the optimal power splitting ratios at the EH relay are different for users and the users with good channel conditions have minimum optimal ratios.

Nonorthogonal multiple access multiple input multiple output communications with harvested energy: Performance evaluation

“…In contrast, to utilize multiple relays [34,35], [37] considered the case of multiple D2 destinations in which only one is selected to support the D1 destination. The authors of [38] and [39] extended the work of [28] to include multiple destinations. However, [27,30,[33][34][35][36][37][38][39] analyzed the system performance for the lEH case.…”

“…The authors of [38] and [39] extended the work of [28] to include multiple destinations. However, [27,30,[33][34][35][36][37][38][39] analyzed the system performance for the lEH case. As an alternative relaying method, an intelligent reflecting surface was used as a relay to forward data from Site S to D1 and D2 [40][41][42].…”

SIC Error Towards the Packet Error Rate: Optimal Partitioning in OTFS-NOMA Systems

“…is a group of all parameters in the context set 𝒮𝒰ℱℱ. 4 The VOM models will guarantee a significantly more reliable model parameterisation than the fixed-order Markov ones [14], [15], [16], [17], [18], [19]. 5 Or bounded memory tree source.…”

“…Some highly essential requirements such as massive connectivity, high data rates, low latency as well as high reliability enforce the novel technologies to support applications in a considerably more favourable manner as entailed as possible. Traditionally, orthogonal multiple access (OMA) techniques are applied in order to guarantee a zero interference in scenarios where it is totally difficult to multiplex users solely in the space domain [1], [2], [3], [4]. The use of non-orthogonal multiple access (NOMA) is highly inevitable which can accommodate multiple users via the same resource block, since the former schemes may fail in spectral efficiency and latency as the number of users increases and they are not ideal for ultra-dense deployments [1], [2], [3], [4].…”

“…Successive interference cancellation (SIC) technique is consequently applied at the receiver side, aimed at recovering the transmitted symbol in a significantly more acceptable manner, in order to decrease the inter-user interference. Excessive decoding errors, increased usage of battery as well as lowered system throughput are some potential results, caused by the increament in the number of users which leads to higher interference and a highly more complex SIC decoding process [1], [2], [3], [4].…”