Adaptive virtual MIMO single cluster optimization in a small cell

Kanakis, T., Opoku Agyeman, M. and Bakaoukas, A. (2016) Adaptive virtual MIMO single cluster optimization in a small cell.Paper presented to: 7th International Conference on Cloud Computing, Data Science & Engineering, Amity University, Noida, India, 12-13 January 2017. (Accepted)

Abstract

Adaptive Virtual MIMO optimized in a single cluster of small cells is shown in this paper to achieve near Shannon
channel capacity when operating with partial or no Channel State Information. Although, access links have enormously increased in the recent years, the operational system complexity remains linear regardless of the number of access nodes in the system proposed.

Adaptive Virtual MIMO optimized in a single cluster performs a theoretical information spectral efficiency, almost equal to that of the upper bounds of a typical mesh network, up to 43 bits/s/Hz at a SNR of 30dB while the BER performance remains impressively low hitting the 10−6 at an SNR of about 13 dB when the theoretical upper bound of an ideal small cell mesh network achieves the 10−6 at a SNR of 12.5 dB. In addition, in a sub-optimum channel condition, the channel capacity and BER performance of the proposed solution is shown to drastically delay saturation even for the very high SNR.

All views and opinions are the author's and do not necessarily reflected those of any organisation they are associated with. Twitter: @scottturneruon

Design of performance-aware resilient wireless NoC architectures

Opoku Agyeman, M., Wen, Z., Kanakis, T., Tong, K.-F. and Mak, T. (2016) Towards the practical design of performance-aware resilient wireless NoC architectures. In: 7th International Conference on Cloud Computing, Data Science & Engineering. USA: IEEE. 


Abstract
Recently, an improved surface wave-enabled communication fabric has been proposed to solve the reliability issues of emerging hybrid wired-wireless Network-on-Chip (WiNoC) architectures. Thus, providing a promising solution to the performance and scalability demands of the fast-paced technological growth towards exascale and Big-Data processing on future System-on-Chip (SoC) design. However, WiNoCs trade-off optimized performance for cost by restricting the number of area and power hungry wireless nodes. Consequently, in this paper, we propose a low-latency adaptive router with a low-complexity single-cycle bypassing mechanism to alleviate the performance degradation due to the slow wired routers in such emerging hyhbrid NoCs. The proposed router is able to redistribute traffic in the network to alleviate average packet latency at both low and high traffic conditions. As a second contribution the paper presents an experimental evaluation of a practically implemented surface wave communication fabric. By reducing the latency between the wired nodes and wireless nodes the proposed router can improve performance efficiency in terms of average packet delay by an average of 50% in WiNoCs.


All views and opinions are the author's and do not necessarily reflected those of any organisation they are associated with. Twitter: @scottturneruon