A Physical Layer Network Coding Design for 5G Network MIMO

TY - GEN

T1 - A Physical Layer Network Coding Design for 5G Network MIMO

AU - Peng, Tong

AU - Wang, Yi

AU - Burr, Alister G.

AU - Shikh-Bahaei, Mohammad

N1 - Funding Information: This research is funded by EPSRC NetCoM project EP/K040006/1 and partially by EPSRC IoSIRE project EP/P022723/1. Publisher Copyright: © 2018 IEEE.

PY - 2018

Y1 - 2018

N2 - This paper presents a physical layer network coding (PNC) approach for network MIMO (N-MIMO) systems to release the heavy burden of backhaul load. The proposed PNC approach is applied for uplink scenario in binary systems, and the design guideline serves multiple mobile terminals (MTs) and guarantees unambiguous recovery of the message from each MT. We present a novel PNC design criterion first based on binary matrix theories, followed by an adaptive optimal mapping selection algorithm based on the proposed design criterion. In order to reduce the real-time computational complexity, a two-stage search algorithm for the optimal binary PNC mapping matrix is developed. Numerical results show that the proposed scheme achieves lower outage probability with reduced backhaul load compared to practical CoMP schemes which quantize the estimated symbols from a log-likelihood ratio (LLR) based multiuser detector into binary bits at each access point(AP).

AB - This paper presents a physical layer network coding (PNC) approach for network MIMO (N-MIMO) systems to release the heavy burden of backhaul load. The proposed PNC approach is applied for uplink scenario in binary systems, and the design guideline serves multiple mobile terminals (MTs) and guarantees unambiguous recovery of the message from each MT. We present a novel PNC design criterion first based on binary matrix theories, followed by an adaptive optimal mapping selection algorithm based on the proposed design criterion. In order to reduce the real-time computational complexity, a two-stage search algorithm for the optimal binary PNC mapping matrix is developed. Numerical results show that the proposed scheme achieves lower outage probability with reduced backhaul load compared to practical CoMP schemes which quantize the estimated symbols from a log-likelihood ratio (LLR) based multiuser detector into binary bits at each access point(AP).

KW - adaptive optimal mapping selection

KW - backhaul load reduction

KW - binary PNC

KW - unambiguous detection

UR - http://www.scopus.com/inward/record.url?scp=85063483677&partnerID=8YFLogxK

U2 - 10.1109/GLOCOM.2018.8647306

DO - 10.1109/GLOCOM.2018.8647306

M3 - Conference contribution

AN - SCOPUS:85063483677

T3 - 2018 IEEE Global Communications Conference, GLOBECOM 2018 - Proceedings

BT - 2018 IEEE Global Communications Conference, GLOBECOM 2018 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2018 IEEE Global Communications Conference, GLOBECOM 2018

Y2 - 9 December 2018 through 13 December 2018

ER -